{"title":"NVIDIA","description":"\u003cp\u003eNVIDIA\u003c\/strong\u003e koleksiyonumuzu keşfedin; kompakt \u003cstrong data-start=\"117\" data-end=\"132\"\u003eJetson Nano\u003c\/strong\u003e sistemlerden (0.5 TOPS) \u003cstrong data-start=\"155\" data-end=\"183\"\u003eJetson Orin Nano\/Orin NX\u003c\/strong\u003e cihazlarına (20–157 TOPS) ve amiral gemisi \u003cstrong data-start=\"219\" data-end=\"238\"\u003eJetson AGX Orin\u003c\/strong\u003e geliştirici kitlerine (kadar \u003cstrong data-start=\"261\" data-end=\"273\"\u003e275 TOPS\u003c\/strong\u003e) kadar. Hazır dağıtıma uygun \u003cstrong data-start=\"304\" data-end=\"318\"\u003ereComputer\u003c\/strong\u003e kenar AI bilgisayarlarını, otonom dronlar için \u003cstrong data-start=\"338\" data-end=\"374\"\u003eHolybro Pixhawk Jetson Ana Kartı\u003c\/strong\u003e paketlerini ve prototipleme ve entegrasyonu hızlandırmak için geniş bir \u003cstrong data-start=\"427\" data-end=\"445\"\u003etaşıyıcı kartlar\u003c\/strong\u003e yelpazesini bulacaksınız (M.2, çift GbE, CSI, CAN, HDMI\/DP). Seçilen modeller \u003cstrong data-start=\"550\" data-end=\"565\"\u003eJetPack 6.x\u003c\/strong\u003e, NVMe depolama, zengin I\/O ve endüstriyel güvenilirlik için fansız seçeneklerle birlikte gönderilmektedir. Gelecek nesil performans için \u003cstrong data-start=\"673\" data-end=\"692\"\u003eJetson AGX Thor\u003c\/strong\u003e geliştirici kitlerini (Blackwell GPU, 2070 FP4 TFLOPS) keşfedin.İster \u003cstrong data-start=\"766\" data-end=\"774\"\u003eAMR'ler\u003c\/strong\u003e inşa ediyor olun, ister makine görüşü, akıllı fabrikalar veya İHA yükleri, bu koleksiyon ölçeklenebilir hesaplama, düşük gecikme süresi ve sağlam SDK desteği sunar—böylece gerçek dünya \u003cstrong data-start=\"954\" data-end=\"965\"\u003ekenar AI\u003c\/strong\u003e'yı daha hızlı bir şekilde eğitebilir, dağıtabilir ve yineleyebilirsiniz.\u003c\/p\u003e","products":[{"product_id":"holybro-pixhawk-jetson-baseboard-bundle","title":"Holybro Pixhawk Jetson 6X \/ 6X Pro ve NVIDIA Jetson'lu Anakart Paketi","description":"\u003ch2 data-pm-slice=\"1 3 []\"\u003e\u003cspan\u003e\u003cstrong\u003eGenel bakış\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e  \u003cp\u003e\u003cspan\u003eThe \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eHolybro Pixhawk Jetson Taban Tahtası\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e temel alınarak tasarlanmıştır \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk Otopilot Otobüsü (PAB) açık kaynaklı spesifikasyonu\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e ve sorunsuz bir şekilde entegre olur \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eNVIDIA Jetson Orin NX\/Nano Taşıyıcı Anakart\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e. \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003ePAB Form Faktörü\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e herhangi bir PAB uçuş kontrolörüyle uyumluluğa izin verir, buna şunlar dahildir: \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 6X\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003eBu kart, hesaplama gücünü birleştirir \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eNVIDIA Jetson\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e uçuş kontrol yetenekleriyle \u003c\/span\u003e\u003ca title=\"Pixhawk\" href=\"https:\/\/rcdrone.top\/collections\/pixhawk\"\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003cspan\u003eBu da onu gelişmiş otonom uygulamalar için ideal hale getiriyor.\u003c\/span\u003e\u003c\/p\u003e  \u003cp\u003e\u003cspan\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/zLObDDlLVb4?si=0ARkgHPAFSWjq3ON\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003ch2\u003e\u003cspan\u003e\u003cstrong\u003eTemel Özellikler\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eBirleşik Sistem:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e Birleştirir \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e Ve \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eNVIDIA Jetson\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e tek bir tahtada.\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eSorunsuz Bağlantı:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e Jetson ve Pixhawk, \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eUART, CAN ve Ethernet anahtarı\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e.\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGeniş Uyumluluk:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e Destekler \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eJetson Orin NX ve Orin Nano\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e.\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eYüksek Hızlı Genişleme:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e Özellikler \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e2x M.2 anahtar yuvası\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e WiFi\/Bluetooth ve NVMe SSD için.\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 6X Entegrasyonu:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e İle donatılmış \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eICM-45686 sensörleri\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e Gelişmiş uçuş kontrolü için.\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003cdiv\u003e\u003chr\u003e\u003c\/div\u003e  \u003ch2\u003e\u003cspan\u003e\u003cstrong\u003eİşlemciler ve Sensörler\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003eFMU İşlemcisi:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eSTM32H753\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e32-bit ARM Cortex-M7, 480MHz\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2MB Flaş Bellek, 1MB RAM\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003eG\/Ç İşlemcisi:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eSTM32F103\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e32-bit ARM Cortex-M3, 72MHz\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e64KB SRAM\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003eGemideki Sensörler (Rev8)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eİvmeölçer\/Jiroskop:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 3x \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eICM-45686\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (BalancedGyro™ Teknolojisi ile)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eBarometre:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eICP20100 ve BMP388\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eManyetometre:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eBMM150\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003cdiv\u003e\u003chr\u003e\u003c\/div\u003e  \u003ch2\u003e\u003cspan\u003e\u003cstrong\u003eAnakart Bağlantı Noktaları ve Bağlantı\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003eJetson Konnektörleri\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x Gigabit Ethernet Bağlantı Noktaları\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (Jetson ve Autopilot\u0026#39;a bağlandı \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eRTL8367S Ethernet anahtarı\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x MIPI CSI Kamera Girişleri\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (Her biri 4 şeritli, \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e22-Pin Raspberry Pi Kamera FFC\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x USB 3.0 Ana Bilgisayar Bağlantı Noktaları\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eUSB-A, 5A akım sınırı\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x USB 2.0 Ana Bilgisayar Bağlantı Noktası\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e5-Pinli JST-GH\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eHata Ayıklama için USB 2.0\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eUSB-C\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eMini HDMI Çıkışı\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x M.2 Yuvası:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eNVMe SSD (PCIEx4) için Anahtar M (2242)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eWiFi\/BT (PCIEx2, UART, USB, I2S) için Anahtar E (2230)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eCAN Bağlantı Noktası\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (Bağlı \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eOtopilot CAN2\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e, 4-Pinli JST-GH)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eSPI, I2C, I2S, UART Portları\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (Çeşitli JST-GH konnektörleri)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eFan Güç Bağlantı Noktası\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGüç Girişi:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eXT30 Konnektörü, 7-21V (3S-4S)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eUBEC 12A (3-14S) \u0026gt;4S uygulamaları için önerilir\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003eOtopilot Konnektörleri\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk Otopilot Otobüs Arayüzü:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e100-Pin ve 50-Pin Hirose DF40\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eYedekli Dijital Güç Modülü Girişleri\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eI2C Güç İzleme Desteği\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGPS ve Güvenlik Anahtarı Bağlantı Noktaları:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e10-Pin ve 6-Pin JST-GH\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x CAN Bağlantı Noktası (4-Pin JST-GH)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e3x Telemetri Portu (JST-GH, biri Jetson\u0026#39;ın UART1\u0026#39;ine bağlı)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e16 PWM Çıkışı (2x 10-Pin JST-GH)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eUSB 2.0 (USB-C ve 4-Pin JST-GH)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eDSM Girişi (3-Pin JST-ZH, 1,5 mm Aralık)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eRC Girişi (PPM\/SBUS, 5-Pin JST-GH)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eHarici Sensör Veri Yolu için SPI Bağlantı Noktası (SPI5, 11-Pin JST-GH)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x Hata Ayıklama Portu (FMU ve IO, 10-Pin JST-SH)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003cdiv\u003e\u003chr\u003e\u003c\/div\u003e  \u003ch3\u003e\u003cspan\u003e\u003cstrong\u003eGüç Gereksinimleri\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGiriş Voltajı:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e7-21V (3S-4S) XT30 Konnektörü aracılığıyla\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eMinimum Güç Gereksinimi:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e8V\/3A (çevre birimlerine göre değişir)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eYedeklilik ve daha yüksek voltaj uygulamaları için Harici UBEC 12A\u0026#39;yı (3-14S) destekler\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eDahili Aşırı Gerilim Koruması\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003cdiv\u003e\u003chr\u003e\u003c\/div\u003e  \u003ch3\u003e\u003cspan\u003e\u003cstrong\u003eBoyutlar ve Ağırlık\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eTahta Boyutu:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e126x80x38mm\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (Jetson ve Uçuş Kontrolörü olmadan)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eAğırlık:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e203.2 gr\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (Jetson, Heatsink, Uçuş Kontrolcüsü, SSD, Wi-Fi Modülü dahil)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003eUBEC-12A Özellikleri\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGiriş Voltajı:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e3~14S (XT30)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eÇıkış Voltajı:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e6,0V\/7,2V\/8,0V\/9,2V\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (\u003c\/span\u003e\u003cspan\u003e\u003cem\u003eJetson için 7.2V önerilir\u003c\/em\u003e\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eSürekli Çıkış Akımı:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e12A\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePatlama Çıkış Akımı:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e24A\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eBoyut:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e48x33,6x16,3 mm\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eAğırlık:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e47,8 gr\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003cdiv\u003e\u003chr\u003e\u003c\/div\u003e  \u003ch2\u003e\u003cspan\u003e\u003cstrong\u003ePaket İçeriği\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e  \u003ch3\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 6X Paketi\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 6X (ICM-45686) Uçuş Kontrol Modülü\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk Jetson Orin Taban Tahtası\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eNvidia Orin NX (16 GB RAM) \/ Orin Nano (4 GB RAM) Soğutucu ve Fan ile\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eSSD:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e Samsung PM9B1 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003ePCIe 4.0 NVMe 512GB\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eWi-Fi \u0026amp; Bluetooth Modülü:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e Intel 8265NGW \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eAC Çift Bant \/ Realtek RTL8B22CE\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eKamera:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eIMX219-200\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePM02D Güç Modülü\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eUBEC 12A (3-14S)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePDB Pano ve Kablo Seti\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch3\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 6X Pro Paketi\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 6X Pro Uçuş Kontrol Modülü\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk Jetson Orin Süpürgelik (Kutusuz\/Kutusuz)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eNvidia Orin NX (16 GB RAM) \/ Orin Nano (4 GB RAM) Soğutucu ve Fan ile\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eSSD, Wi-Fi\/Bluetooth Modülü, Kamera, PM02D Güç Modülü, UBEC 12A, PDB Kartı, Kablo Seti\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch3\u003e\u003cspan\u003e\u003cstrong\u003eSadece Jetson Kaide\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk Jetson Orin Süpürgelik (Kutusuz\/Kutusuz)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eKablo Seti\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003cdiv\u003e\u003chr\u003e\u003c\/div\u003e  \u003ch3\u003e\u003cspan\u003e\u003cstrong\u003eReferans Bağlantıları\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003eTam Pinout ve Kablolama Kılavuzu\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003eBoyut ve Ağırlık Ayrıntıları\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003eFlaşlama ve CAN Kurulum Kılavuzu\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003eCSI Kamera Yapılandırması\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003eMAVLINK Köprü Talimatları\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003eCAD Dosyası İndir\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eJetson Orin için Varsayılan Oturum Açma Kimlik Bilgileri:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eİD:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003ccode\u003e\u003cspan\u003ekutsal kardeş\u003c\/span\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eŞifre:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003ccode\u003e\u003cspan\u003e123\u003c\/span\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003e\u003ccode\u003eDetaylar\u003c\/code\u003e\u003c\/h2\u003e  \u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-With-6X--6X-Pro-and.jpg?v=1737278084\" alt=\"Pixhawk 6X Bundle, Pixhawk 6X integration features ICM-45686 sensors for improved flight control.\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-6_fbb1f8c8-5b2f-44dc-bbfe-65b433418c45.webp?v=1737277970\" alt=\"Pixhawk 6X Bundle, Holybro Pixhawk Jetson Baseboard combines Pixhawk Autopilot Bus spec with NVIDIA Jetson Orin NX\/Nano Carrier Board for seamless integration.\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-13_aceab298-eb55-49b8-becc-2b61dd392d61.webp?v=1737277995\" alt=\"Pixhawk 6X Bundle, This board combines NVIDIA Jetson computing power with Pixhawk flight control capabilities for advanced autonomous applications.\"\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003ch3\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-With-6X--6X-Pro-and_4b618b16-04df-4ef3-a7bb-5f91efe019e4.jpg?v=1737278115\" alt=\"Pixhawk 6X Bundle, Pixhawk and Nvidia Jetson combined in single board.\"\u003e\u003c\/h3\u003e  \u003cp\u003ePixhawk ve Nvidia Jetson tek kartta birleşti.\u003c\/p\u003e  \u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-With-6X--6X-Pro-and_a7c4182a-a84c-430a-800d-b1ee99fa19e3.jpg?v=1737278137\" alt=\"Pixhawk 6X Bundle, NVIDIA Jetson baseboard bundle with Pixhawk for autonomous flight control systems applications development\"\u003e\u003c\/p\u003e  \u003cp\u003eNvidia jetson, otopilot sistemleri için rj45 konnektörü kullanılarak uart can ve ethernet anahtarıyla bağlandı\u003c\/p\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003cdiv\u003e  \u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-With-6X--6X-Pro-and_ef23cc61-e9c5-48ee-821a-7c239bb16b62.jpg?v=1737278152\" alt=\"Pixhawk 6X Bundle, Pixhawk Autopilot Bus (PAB) Open Source Specification\"\u003e  \u003cp\u003ePixhawk Otopilot Otobüsü (PAB) Açık Kaynak Spesifikasyonu\u003c\/p\u003e  \u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-With-6X--6X-Pro-and_b82a4f5e-1533-4724-9019-c3e6758bb168.jpg?v=1737278167\" alt=\"Pixhawk 6X Bundle, The Jetson SoDIMM Connector System is fully compatible with Jetson Orin NX and Nano models.\"\u003e  \u003cp\u003eJetson SoDIMM Konnektör Sistemi Tam Uyumlu: Jetson Orin NX\/Nano\u003c\/p\u003e  \u003c\/div\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003cdiv\u003e  \u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-With-6X--6X-Pro-and_41dc6c46-2c27-4d2c-b53b-96330184b309.jpg?v=1737278180\" alt=\"Pixhawk 6X Bundle, This board combines NVIDIA Jetson and Pixhawk for advanced autonomous applications.\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-With-6X--6X-Pro-and_e0c3c70a-8b40-4cb4-b4fd-a5ad8fe3e326.jpg?v=1737278213\" alt=\"Pixhawk 6X Bundle, Diagram shows Nvidia Jetson, Autopilot Flight Controller with USB, Ethernet, power regulators; highlights interconnections and data flow in an embedded system.\"\u003e  \u003cp\u003eResim, Nvidia Jetson ve Autopilot Uçuş Kontrolcüsü gibi bileşenleri içeren gömülü bir sistem için bir çevre birimleri blok diyagramını tasvir ediyor. Çeşitli konektörler, IC\u0026#39;ler ve USB portları, Ethernet anahtarları ve güç düzenleyicileri gibi modülleri içeriyor ve bunların birbiriyle olan bağlantılarını ve veri akışını gösteriyor.\u003c\/p\u003e  \u003c\/div\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003ch3\u003eReferans Kablolama Şeması\u003c\/h3\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-With-6X--6X-Pro-and_532cace7-ac60-4e2c-af96-efab20ca7f46.jpg?v=1737278234\" alt=\"Pixhawk 6X Bundle, Two diagrams show power distribution for a Jetson module using a battery, PM02D\/Power Board or External UBEC, ensuring voltage regulation.\"\u003e\u003c\/p\u003e  \u003cp\u003eİki diyagram, bir batarya kullanan bir Jetson modülü için güç dağıtım sistemlerini göstermektedir. Soldaki diyagram bir PM02D Güç Modülü ve bir Güç Dağıtım Panosu kullanırken, sağdaki diyagram 4S\u0026#39;den büyük bataryalar için bir Harici UBEC içerir.Her iki kurulum da Jetson ve Pixhawk Power için uygun voltaj regülasyonunu sağlar.\u003c\/p\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003cdiv\u003e  \u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-With-6X--6X-Pro-and_2eb1c16c-ed89-480c-914a-ba053c597666.jpg?v=1737278246\" alt=\"Pixhawk 6X Bundle, PM02D Power Module links battery to Pixhawk and Jetson, supporting 7-21V input via a single adapter.\"\u003e  \u003cp\u003ePM02D Güç Modülü, 7-21V giriş için bir güç adaptörü kullanarak bir pili Pixhawk ve Jetson\u0026#39;a bağlar.\u003c\/p\u003e  \u003c\/div\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003cp\u003e\u003ccode\u003e\u003c\/code\u003e\u003c\/p\u003e","brand":"HolyBro","offers":[{"title":"Pixhawk 6X Pro \/ Jetson Orin NX 16GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ With Case","offer_id":46895096070368,"sku":"Pixhawk-Jetson-Baseboard-1","price":2529.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X Pro \/ Jetson Orin NX 16GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ Without Case","offer_id":46895096103136,"sku":"Pixhawk-Jetson-Baseboard-2","price":2499.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X Pro \/ Jetson Orin Nano 4GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ With Case","offer_id":46895096135904,"sku":"Pixhawk-Jetson-Baseboard-3","price":1919.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X Pro \/ Jetson Orin Nano 4GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ Without Case","offer_id":46895096168672,"sku":"Pixhawk-Jetson-Baseboard-4","price":1889.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X Pro \/ None \/ With Case","offer_id":46895097053408,"sku":"Pixhawk-Jetson-Baseboard-15","price":2329.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X Pro \/ None \/ Without Case","offer_id":46895097086176,"sku":"Pixhawk-Jetson-Baseboard-16","price":2329.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X \/ Jetson Orin NX 16GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ With Case","offer_id":46895096201440,"sku":"Pixhawk-Jetson-Baseboard-5","price":1939.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X \/ Jetson Orin NX 16GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ Without Case","offer_id":46895096234208,"sku":"Pixhawk-Jetson-Baseboard-6","price":1919.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X \/ Jetson Orin Nano 4GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ With Case","offer_id":46895096266976,"sku":"Pixhawk-Jetson-Baseboard-7","price":1329.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X \/ Jetson Orin Nano 4GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ Without Case","offer_id":46895096299744,"sku":"Pixhawk-Jetson-Baseboard-8","price":1299.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X \/ None \/ With Case","offer_id":46895097118944,"sku":"Pixhawk-Jetson-Baseboard-17","price":2529.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk 6X \/ None \/ Without Case","offer_id":46895097151712,"sku":"Pixhawk-Jetson-Baseboard-18","price":2529.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk Jetson Baseboard Only \/ Jetson Orin NX 16GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ With Case","offer_id":46895096332512,"sku":"Pixhawk-Jetson-Baseboard-9","price":0.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk Jetson Baseboard Only \/ Jetson Orin NX 16GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ Without Case","offer_id":46895096365280,"sku":"Pixhawk-Jetson-Baseboard-10","price":0.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk Jetson Baseboard Only \/ Jetson Orin Nano 4GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ With Case","offer_id":46895096398048,"sku":"Pixhawk-Jetson-Baseboard-11","price":0.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk Jetson Baseboard Only \/ Jetson Orin Nano 4GB (with Wi-Fi \u0026 SSD \u0026 Camera) \/ Without Case","offer_id":46895096430816,"sku":"Pixhawk-Jetson-Baseboard-12","price":0.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk Jetson Baseboard Only \/ None \/ With Case","offer_id":46895097184480,"sku":"Pixhawk-Jetson-Baseboard-13","price":599.0,"currency_code":"USD","in_stock":false},{"title":"Pixhawk Jetson Baseboard Only \/ None \/ Without Case","offer_id":46895097217248,"sku":"Pixhawk-Jetson-Baseboard-14","price":569.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Holybro-Pixhawk-Jetson-Baseboard-Bundle-7.webp?v=1737277008"},{"product_id":"nvidia®-jetson-orin™-nx-module-16gb","title":"Nvidia Jetson Orin NX Modülü 16GB AI Geliştirme Kurulu, 100 Tops, 8 -Core CPU, 16GB LPDDR5, PCIE GEN4, 10-25W, 69.6 × 45mm","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson Orin NX Modülü 16 GB Yapay Zeka Geliştirme Kartı, en küçük Jetson form faktöründe 100 TOPS'a kadar yapay zeka performansı sunar ve 10 W ile 25 W arasında yapılandırılabilir güç seçenekleri sunar. NVIDIA Jetson AGX Xavier'in yaklaşık 3 katı ve NVIDIA Jetson Xavier NX'in 5 katı performans sunarak, dronlar, robotlar, el bilgisayarları ve gömülü bilgisayarlı görüş cihazları gibi kompakt ve düşük güç tüketimli uç yapay zeka sistemleri için uygundur.\u003c\/p\u003e\u003ch2\u003eTemel Özellikler\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e32 Tensor Çekirdeğe sahip 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/li\u003e  \u003cli\u003eÇift NVDLA v2.0 derin öğrenme hızlandırıcıları ve PVA v2.0\u003c\/li\u003e  \u003cli\u003e8 çekirdekli Arm Cortex‑A78AE v8.2 64 bit CPU\u003c\/li\u003e  \u003cli\u003e16 GB 128 bit LPDDR5, 102,4 GB\/sn bant genişliği\u003c\/li\u003e  \u003cli\u003eGüç modları: 10W\/15W\/25W\u003c\/li\u003e  \u003cli\u003ePCIe Gen4 ve MIPI CSI‑2 kamera arayüzleri dahil yüksek hızlı G\/Ç\u003c\/li\u003e  \u003cli\u003eKenarda çoklu akış çıkarımı için 8K\/4K'ya kadar donanım video kodlama\/kod çözme\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e  \u003ctd\u003e100 TOPS\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e1024 çekirdekli NVIDIA Ampere, 32 Tensor Çekirdeği\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDL Hızlandırıcı\u003c\/td\u003e  \u003ctd\u003e(2x) NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVizyon Hızlandırıcı\u003c\/td\u003e  \u003ctd\u003ePVA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eİşlemci\u003c\/td\u003e  \u003ctd\u003e8 çekirdekli Arm Cortex‑A78AE; 2 MB L2 + 4 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHafıza\u003c\/td\u003e  \u003ctd\u003e16 GB 128 bit LPDDR5 @ 2133 MHz; 102,4 GB\/sn\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDepolamak\u003c\/td\u003e  \u003ctd\u003eHarici NVMe'yi destekler\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVideo Kodlama\u003c\/td\u003e  \u003ctd\u003e1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVideo Kod Çözme\u003c\/td\u003e  \u003ctd\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 (H.265) H.264, H.265, VP9, ​​AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKamera\u003c\/td\u003e  \u003ctd\u003e4 kameraya kadar (8'i sanal kanallar üzerinden*); 8 şerit MIPI CSI‑2; D‑PHY 1.2 (20 Gbps)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003ePCI Express\u003c\/td\u003e  \u003ctd\u003e3 x1 + 1 (x4 PCIe Gen 4)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMekanik\u003c\/td\u003e  \u003ctd\u003e69,6 mm x 45 mm; 260 pimli konektör\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGüç\u003c\/td\u003e  \u003ctd\u003e10W\/15W\/25W\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNeler Dahil?\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Orin NX Modülü 16 GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eOtonom araçlar ve mobil robotlar\u003c\/li\u003e  \u003cli\u003eİHA ve İHA analitiği\u003c\/li\u003e  \u003cli\u003eEndüstriyel otomasyon ve muayene\u003c\/li\u003e  \u003cli\u003eTıbbi görüntüleme ve akıllı sağlık cihazları\u003c\/li\u003e  \u003cli\u003eAkıllı perakende ve uç AI çıkarımı\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"NVIDIA Jetson Orin NX Module, Custom Design reComputer with NVIDIA Jetson, Interface, Logo, Image Options\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-NX-Module-1T6NU.webp?v=1759676233\"\u003e\u003cp\u003eNVIDIA Jetson, Arayüz, Logo ve Görüntü Seçenekleriyle Özel Tasarım Bilgisayar\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833517129952,"sku":"206001695","price":999.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/900-13767-0010-000-2_1_1.jpg?v=1759675159"},{"product_id":"nvidia®-jetson-orin™-nx-module-8gb","title":"Nvidia Jetson Orin NX Modülü 8GB AI Geliştirme Kurulu, 70 Tops Amper GPU, 6 çekirdekli ARM Cortex-A78A, LPDDR5, 10W-20W","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eBu Yapay Zeka Geliştirme Kartı, NVIDIA Jetson Orin NX 8GB Modülü'nden yararlanarak en küçük Jetson form faktöründe 70 TOPS'a kadar yapay zeka performansı sunar ve 10W - 20W arasında yapılandırılabilir güç seçenekleri sunar. NVIDIA Jetson AGX Xavier'ın 2 katından fazla, NVIDIA Jetson Xavier NX'in ise 3 katından fazla performans sunarak, drone'lar ve taşınabilir cihazlar gibi kompakt ve düşük güç tüketimli sistemler için uygundur. Ayrıca, birden fazla sensör için yüksek hızlı arayüz desteğiyle, önceki nesil NVIDIA CUDA çekirdeklerinin 5 katı ve iki katı performans sunar.\u003c\/p\u003e\u003ch2\u003eTemel Özellikler\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e1024 NVIDIA CUDA çekirdeği ve 32 Tensor çekirdeğine sahip NVIDIA Ampere mimarili GPU\u003c\/li\u003e  \u003cli\u003e6 çekirdekli Arm Cortex-A78AE v8.2 64 bit CPU; 1,5 MB L2 + 4 MB L3\u003c\/li\u003e  \u003cli\u003e1x NVDLA v2.0 derin öğrenme hızlandırıcısı\u003c\/li\u003e  \u003cli\u003ePVA v2.0 görüş hızlandırıcı\u003c\/li\u003e  \u003cli\u003e8 GB 128 bit LPDDR5 bellek (102,4 GB\/sn)\u003c\/li\u003e  \u003cli\u003ePCIe aracılığıyla harici NVMe'yi destekler\u003c\/li\u003e  \u003cli\u003eGüç yapılandırılabilir: 10W - 20W\u003c\/li\u003e  \u003cli\u003eMekanik: 45 mm x 69,6 mm; 260 pinli SO-DIMM konnektörü\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e1024 NVIDIA CUDA çekirdeğine sahip NVIDIA Ampere mimarisi; 32 Tensor çekirdeği\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eİşlemci\u003c\/td\u003e  \u003ctd\u003e6 çekirdekli Arm Cortex-A78AE v8.2 64 bit CPU; 1,5 MB L2 + 4 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDL Hızlandırıcı\u003c\/td\u003e  \u003ctd\u003e1x NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVizyon Hızlandırıcı\u003c\/td\u003e  \u003ctd\u003ePVA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHafıza\u003c\/td\u003e  \u003ctd\u003e8 GB 128 bit LPDDR5, 102,4 GB\/sn\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDepolamak\u003c\/td\u003e  \u003ctd\u003ePCIe aracılığıyla harici NVMe'yi destekler\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGüç\u003c\/td\u003e  \u003ctd\u003e10W - 20W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMekanik\u003c\/td\u003e  \u003ctd\u003e45 mm x 69,6 mm; 260 pinli SO-DIMM konnektörü\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNeler Dahil?\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Orin NX Modülü 8 GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eOtonom Araçlar\u003c\/li\u003e  \u003cli\u003eİnsansız Hava Araçları ve Robotlar\u003c\/li\u003e  \u003cli\u003eEndüstriyel Otomasyon\u003c\/li\u003e  \u003cli\u003eTıbbi Görüntüleme\u003c\/li\u003e  \u003cli\u003eAkıllı Perakende\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eÖzelleştirme\u003c\/h2\u003e\u003cp\u003eSeeed Agile ODM Servisi, form faktörleri, görüntü flaşlama ve logo değişimi gibi özel donanım ihtiyaçlarını destekler. \u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2023\/05\/10\/custom-design-your-own-recomputer-powered-by-nvidia-jetson\/\" rel=\"noopener\" target=\"_blank\"\u003eDaha fazla bilgi edin\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/module\/jetson-orin-nx-datasheet.pdf\" rel=\"noopener\" target=\"_blank\"\u003ejetson-orin-nx-veri sayfası\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eHSCODE\u003c\/td\u003e  \u003ctd\u003e8517180050\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSHSCODE\u003c\/td\u003e  \u003ctd\u003e8543708800\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eABHSKODU\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCOO\u003c\/td\u003e  \u003ctd\u003eÇİN\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"NVIDIA Jetson Orin AI Board, Custom Design reComputer with NVIDIA Jetson, Interface, Logo, Image Options\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/nvidia-jetson-orin-ai-board-hIkTT.webp?v=1759676665\"\u003e\u003cp\u003eNVIDIA Jetson, Arayüz, Logo ve Görüntü Seçenekleriyle Özel Tasarım Bilgisayar\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833522897120,"sku":"206001696","price":659.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/900-13767-0010-000-2_2.jpg?v=1759676364"},{"product_id":"nvidia®-jetson-orin™-nano-module-4gb","title":"Nvidia Jetson Orin Nano Modülü 4GB AI Geliştirme Kurulu, 20 Tops, Amper GPU, 6 çekirdekli kol A78A, LPDDR5, PCIE, CSI-2","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson Orin Nano Module 4GB, en küçük Jetson form faktöründe 20 TOPS'a kadar yapay zeka performansı sunan bir Yapay Zeka Geliştirme Kartı modülüdür. 5W ile 10W arasında yapılandırılabilen güç çıkışıyla, giriş seviyesi uç yapay zeka için NVIDIA Jetson Nano'nun 40 katına kadar performans sunar. Açıklamada ayrıca 5W ile 15W arasında güç seçenekleri ve orijinal Jetson Nano ile aynı boyuta sahip olduğu belirtiliyor.\u003c\/p\u003e\u003ch2\u003eTemel Özellikler\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e16 Tensor Çekirdeğe sahip 512 çekirdekli NVIDIA Ampere mimarili GPU\u003c\/li\u003e  \u003cli\u003e6 çekirdekli Arm Cortex-A78AE v8.2 64 bit CPU (1,5 MB L2 + 4 MB L3)\u003c\/li\u003e  \u003cli\u003e4GB 64-bit LPDDR5 (34GB\/sn)\u003c\/li\u003e  \u003cli\u003eHarici NVMe depolamayı destekler\u003c\/li\u003e  \u003cli\u003e8 MIPI CSI-2 şeridi üzerinden 4 adede kadar kamera (sanal kanallar üzerinden 8*), D-PHY 2.1 (20 Gbps'ye kadar)\u003c\/li\u003e  \u003cli\u003eVideo: 1080p30'u kodlayın (1–2 CPU çekirdeğiyle); 1x 4K60\/2x 4K30\/5x 1080p60\/11x 1080p30'a (H.265) kadar kod çözün\u003c\/li\u003e  \u003cli\u003eBağlantı ve G\/Ç: PCIe Gen3, USB 3.2 Gen2, USB 2.0, GbE, UART\/SPI\/I2S\/I2C\/CAN, DMIC \u0026amp; DSPK, PWM, GPIO'lar\u003c\/li\u003e  \u003cli\u003eEkran: DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4 (4K30'a kadar)\u003c\/li\u003e  \u003cli\u003eKompakt modül: 69,6 mm x 45 mm, 260 pinli SO-DIMM konnektörü\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e  \u003ctd\u003e20 TOPS\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e16 Tensor Çekirdeğe sahip 512 çekirdekli NVIDIA Ampere mimarili GPU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMaksimum GPU Frekansı\u003c\/td\u003e  \u003ctd\u003e625MHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eİşlemci\u003c\/td\u003e  \u003ctd\u003e6 çekirdekli Arm Cortex-A78AE v8.2 64 bit CPU, 1,5 MB L2 + 4 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU Maksimum Frekansı\u003c\/td\u003e  \u003ctd\u003e1,5 GHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHafıza\u003c\/td\u003e  \u003ctd\u003e4GB 64-bit LPDDR5, 34GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDepolamak\u003c\/td\u003e  \u003ctd\u003eHarici NVMe'yi destekler\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKamera\u003c\/td\u003e  \u003ctd\u003e4 kameraya kadar (8'i sanal kanallar üzerinden*); 8 MIPI CSI-2 şeridi, D-PHY 2.1 (20 Gbps'ye kadar)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVideo Kodlama\u003c\/td\u003e  \u003ctd\u003e1–2 CPU çekirdeği tarafından desteklenen 1080p30\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVideo Kod Çözme\u003c\/td\u003e  \u003ctd\u003e1x 4K60 (H.265); 2x 4K30 (H.265); 5x 1080p60 (H.265); 11x 1080p30 (H.265)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003ePCIe\u003c\/td\u003e  \u003ctd\u003e1 x4 + 3 x1 (PCIe Gen3, Kök Bağlantı Noktası ve Uç Nokta)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSB\u003c\/td\u003e  \u003ctd\u003e3x USB 3.2 Gen2 (10 Gbps); 3x USB 2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAğ oluşturma\u003c\/td\u003e  \u003ctd\u003e1x GbE\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGörüntülemek\u003c\/td\u003e  \u003ctd\u003e1x 4K30 çok modlu DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDiğer G\/Ç\u003c\/td\u003e  \u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIO'lar\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGüç\u003c\/td\u003e  \u003ctd\u003e7W – 10W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEk Güç Notu\u003c\/td\u003e  \u003ctd\u003eGüç 5W ile 10W arasında yapılandırılabilir; açıklamada ayrıca 5W – 15W seçenekleri de belirtilmektedir\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMekanik\u003c\/td\u003e  \u003ctd\u003e69,6 mm x 45 mm; 260 pimli SO-DIMM konektörü\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNeler Dahil?\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Orin Nano Modülü 4GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eGömülü Kenar Bilişim\u003c\/li\u003e  \u003cli\u003eYapay Zeka Uygulamaları\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"NVIDIA Jetson Orin Nano AI Board, Custom Design reComputer with NVIDIA Jetson, Interface, Logo, Image Options\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-AI-Board-L1zbp.webp?v=1759677261\"\u003e\u003cp\u003eNVIDIA Jetson, Arayüz, Logo ve Görüntü Seçenekleriyle Özel Tasarım Bilgisayar\u003c\/p\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg alt=\"NVIDIA Jetson Orin Nano AI Board, The NVIDIA Jetson Orin Nano Module 4GB is an AI development board delivering up to 20 TOPS of performance in its smallest form factor.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-AI-Board-VGF88.png?v=1759677279\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833523912928,"sku":"206001698","price":333.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/258462_2.jpg?v=1759676554"},{"product_id":"nvidia®-jetson-orin™-nano-module-8gb","title":"NVIDIA® Jetson Orin ™ Nano Modülü 8GB - 40 Tops Edge AI, Amper GPU, 6 -Core Cortex - A78AE, LPDDR5, CSI, PCIE, USB, GBE","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e  \u003cp\u003eNVIDIA® Jetson Orin™ Nano Modülü 8 GB, en küçük Jetson form faktöründe 40 TOPS'a kadar performans sunan bir uç yapay zeka hesaplama modülüdür. Güç tüketimi 7 W ile 15 W arasında yapılandırılabilir ve orijinal Jetson Nano boyutunu korurken Jetson TX2 NX'in 30 katına kadar performans sunar. Bu modül, robotik, gömülü görme ve uç çıkarımını hızlandırmak için bir NVIDIA Ampere mimarisi GPU'su ve 6 çekirdekli bir Arm Cortex‑A78AE CPU'yu entegre eder.\u003c\/p\u003e  \u003ch2\u003eTemel Özellikler\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003e32 Tensor Çekirdeğe sahip 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/li\u003e  \u003cli\u003e6 çekirdekli Arm Cortex‑A78AE v8.2 64 bit CPU (1,5 MB L2 + 4 MB L3), 1,5 GHz'e kadar\u003c\/li\u003e  \u003cli\u003e8 GB 128 bit LPDDR5 bellek, 68 GB\/sn bant genişliği\u003c\/li\u003e  \u003cli\u003eHarici NVMe depolamayı destekler\u003c\/li\u003e  \u003cli\u003eKamera arayüzü: 4 kameraya kadar (8'i sanal kanallar üzerinden*), 8 şeritli MIPI CSI‑2, D‑PHY 2.1, 20 Gbps'ye kadar\u003c\/li\u003e  \u003cli\u003eVideo: 1080p30 kodlama (1–2 CPU çekirdeği tarafından); 4K60 H.265'e kadar kod çözme\u003c\/li\u003e  \u003cli\u003eG\/Ç: PCIe Gen3 (1 x4 + 3 x1), USB 3.2 Gen2 ve USB 2.0, 1x GbE, çok modlu DP\/eDP\/HDMI, UART\/SPI\/I2S\/I2C\/CAN, DMIC \u0026amp; DSPK, PWM, GPIO'lar\u003c\/li\u003e  \u003cli\u003e260 pinli SO‑DIMM konnektörlü 69,6 mm × 45 mm modül\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eÖzellikler\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e  \u003ctd\u003e40 TOPS\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e32 Tensor Çekirdeğe sahip 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMaksimum GPU Frekansı\u003c\/td\u003e  \u003ctd\u003e625MHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eİşlemci\u003c\/td\u003e  \u003ctd\u003e6 çekirdekli Arm Cortex‑A78AE v8.2 64 bit CPU; 1,5 MB L2 + 4 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU Maksimum Frekansı\u003c\/td\u003e  \u003ctd\u003e1,5 GHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHafıza\u003c\/td\u003e  \u003ctd\u003e8 GB 128 bit LPDDR5; 68 GB\/sn\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDepolamak\u003c\/td\u003e  \u003ctd\u003eHarici NVMe'yi destekler\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKamera\u003c\/td\u003e  \u003ctd\u003e4 kameraya kadar (8'i sanal kanallar üzerinden*); 8 MIPI CSI‑2 şeridi; D‑PHY 2.1 (20 Gbps'ye kadar)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVideo Kodlama\u003c\/td\u003e  \u003ctd\u003e1–2 CPU çekirdeği tarafından desteklenen 1080p30\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVideo Kod Çözme\u003c\/td\u003e  \u003ctd\u003e1× 4K60 (H.265); 2× 4K30 (H.265); 5× 1080p60 (H.265); 11× 1080p30 (H.265)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003ePCIe\u003c\/td\u003e  \u003ctd\u003e1 x4 + 3 x1 (PCIe Gen3, Kök Bağlantı Noktası ve Uç Nokta)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSB\u003c\/td\u003e  \u003ctd\u003e3× USB 3.2 Gen2 (10 Gbps); 3× USB 2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAğ oluşturma\u003c\/td\u003e  \u003ctd\u003e1× GbE\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGörüntülemek\u003c\/td\u003e  \u003ctd\u003e1× 4K30 çok modlu DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDiğer G\/Ç\u003c\/td\u003e  \u003ctd\u003e3× UART, 2× SPI, 2× I2S, 4× I2C, 1× CAN, DMIC \u0026amp; DSPK, PWM, GPIO'lar\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGüç\u003c\/td\u003e  \u003ctd\u003e7W – 15W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMekanik\u003c\/td\u003e  \u003ctd\u003e69,6 mm × 45 mm; 260 pimli SO‑DIMM konektörü\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003eUygulamalar\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eGömülü Kenar Bilişim\u003c\/li\u003e  \u003cli\u003eYapay Zeka Uygulamaları\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eNeler Dahil?\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eNVIDIA Jetson Orin Nano Modülü 8GB ×1\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eÖzelleştirme\u003c\/h2\u003e  \u003cp\u003eSeeed Agile ODM Hizmeti, cihaz üreticileri ve entegratörleri için form faktörü ayarlamaları, görüntü flaşlama ve logo değişiklikleri dahil olmak üzere özelleştirme olanağı sunar.\u003c\/p\u003e  \u003ch2\u003eBelgeler\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003e\u003ca rel=\"noopener\" href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/module\/Jetson-Orin-Nano-datasheet.pdf\" target=\"_blank\"\u003eJetson Orin Nano veri sayfası (PDF)\u003c\/a\u003e\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eECCN\/HTS\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eHSCODE\u003c\/td\u003e  \u003ctd\u003e8517180050\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSHSCODE\u003c\/td\u003e  \u003ctd\u003e8543708800\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUPC\u003c\/td\u003e  \u003ctd\u003e\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eABHSKODU\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCOO\u003c\/td\u003e  \u003ctd\u003eÇİN\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003eDetaylar\u003c\/h2\u003e  \u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-GEOWG.webp?v=1759677833\" alt=\"NVIDIA Jetson Orin Nano, Custom reComputer with Jetson, interface, logo, and image flashing.\"\u003e\u003c\/p\u003e  \u003cp\u003eJetson, arayüz, logo ve resim flaşlamalı özel bilgisayar.\u003c\/p\u003e  \u003cp\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-04N5R.png?v=1759677851\" alt=\"NVIDIA Jetson Orin Nano, Datasheet for Jetson Orin Nano documents ECCN\/HTS information including HS codes and country of origin.\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833533251808,"sku":"206001697","price":399.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/258462_1_1.jpg?v=1759677177"},{"product_id":"nvidia-jetson-agx-orin-module-64gb","title":"Nvidia Jetson Agx Orin Modülü 64GB-275 Tops AI, 15W-60W, 2048 çekirdekli Amper GPU, 12 çekirdekli kol Cortex-A78Ae","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e  \u003cp\u003eNVIDIA Jetson AGX Orin Modülü 64 GB, 15 W ile 60 W arasında yapılandırılabilen güç seçenekleriyle 275 TOPS'a kadar yapay zeka performansı sunar. Robotik ve diğer otonom makine kullanım durumları için aynı kompakt form faktöründe Jetson AGX Xavier'in 8 katından fazla performans sağlar.\u003c\/p\u003e  \u003ch2\u003eTemel Özellikler\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003e2048 çekirdekli NVIDIA Ampere mimarili GPU\u003c\/li\u003e  \u003cli\u003e64 Tensör Çekirdek\u003c\/li\u003e  \u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e  \u003cli\u003e12 çekirdekli Arm Cortex-A78AE v8.2\u003c\/li\u003e  \u003cli\u003e64 bit CPU\u003c\/li\u003e  \u003cli\u003e64 GB 256 bit LPDDR5\u003c\/li\u003e  \u003cli\u003e64 GB eMMC 5.1\u003c\/li\u003e  \u003cli\u003ePVA v2.0\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eÖzellikler\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e  \u003ctd\u003e275 TOP\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e64 Tensör Çekirdeğe sahip 2048 çekirdekli Ampere\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDL Hızlandırıcı\u003c\/td\u003e  \u003ctd\u003e(2x) NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVizyon Hızlandırıcı\u003c\/td\u003e  \u003ctd\u003e(2x) 7 yollu VLIW İşlemci\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eİşlemci\u003c\/td\u003e  \u003ctd\u003e12 çekirdekli Arm Cortex-A78AE; 3MB L2 + 6MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHafıza\u003c\/td\u003e  \u003ctd\u003e64 GB 256 bit LPDDR5 @ 2133 MHz; 205 GB\/sn\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDepolamak\u003c\/td\u003e  \u003ctd\u003e64 GB eMMC\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVideo Kodlama\u003c\/td\u003e  \u003ctd\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) H.264, AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVideo Kod Çözme\u003c\/td\u003e  \u003ctd\u003e1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60 | 22x 1080p30 (H.265) H.264, VP9, ​​AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKamera\u003c\/td\u003e  \u003ctd\u003e16 şeritli MIPI CSI-2 konnektörü\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMekanik\u003c\/td\u003e  \u003ctd\u003e100mm x 87mm; 699 pinli konnektör\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGüç\u003c\/td\u003e  \u003ctd\u003e15W - 60W\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003eNeler Dahil?\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eNVIDIA Jetson AGX Orin Modülü 64 GB x1\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eUygulamalar\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eOtonom Araçlar\u003c\/li\u003e  \u003cli\u003eRobotlar ve İHA'lar\u003c\/li\u003e  \u003cli\u003eEndüstriyel Otomasyon ve Makine Görüşü\u003c\/li\u003e  \u003cli\u003eEğitim ve Araştırma\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eÖzelleştirme\u003c\/h2\u003e  \u003cp\u003eSeeed Agile ODM Hizmeti, form faktörleri, görüntü flaşlama ve logo değişikliği dahil olmak üzere belirli donanım ihtiyaçlarına göre uyarlanmış özelleştirilebilir hizmetlerle cihaz üreticilerine ve entegratörlerine güç katıyor.\u003c\/p\u003e  \u003ch2\u003eBelgeler\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/module\/Jetson-AGX-Orin-Module-Series-Datasheet.pdf\" rel=\"noopener\" target=\"_blank\"\u003eJetson AGX Orin Modül Serisi Veri Sayfası\u003c\/a\u003e\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eECCN\/HTS\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eHSCODE\u003c\/td\u003e  \u003ctd\u003e8543709990\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSHSCODE\u003c\/td\u003e  \u003ctd\u003e8543709860\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUPC\u003c\/td\u003e  \u003ctd\u003e\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eABHSKODU\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCOO\u003c\/td\u003e  \u003ctd\u003eÇİN\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833534038240,"sku":"206001694","price":3349.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/900-13701-0040-000-2t_2.jpg?v=1759677465"},{"product_id":"nvidia-jetson-agx-orin-module-32gb","title":"Nvidia Jetson Agx Orin Modülü 32GB-200 Tops AI, 8 çekirdekli Cortex-A78Ae, Amper GPU, 32GB LPDDR5, 64GB EMMC, PCIE GEN4","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson AGX Orin Modülü 32GB, 15W ile 40W arasında yapılandırılabilen güçle 200 TOPS'a kadar yapay zeka performansı sunarak, robotik ve diğer otonom makine kullanım durumları için aynı kompakt form faktöründe Jetson AGX Xavier'in 6 katından fazla performans sunuyor.\u003c\/p\u003e\u003ch2\u003eTemel Özellikler\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e56 tensör çekirdeğe sahip 1792 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/li\u003e  \u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e  \u003cli\u003e8 çekirdekli Arm Cortex-A78AE v8.2 64 bit CPU\u003c\/li\u003e  \u003cli\u003eYüksek Hızlı Bellek: 32 GB 256 bit LPDDR5\u003c\/li\u003e  \u003cli\u003eBüyük Depolama: 64 GB eMMC 5.1\u003c\/li\u003e  \u003cli\u003ePVA v2.0\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eYapay Zeka Performansı\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e200 TOPS (Sp) |100 TOPS (De)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e56 Tensor Çekirdeğe sahip 1792 çekirdekli NVIDIA Ampere GPU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eDL Hızlandırıcı\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e2x NVDLA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eVizyon Hızlandırıcı\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003ePVA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eİşlemci\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8 çekirdekli NVIDIA Arm Cortex A78AE v8.2 64 bit CPU; 2 MB L2 + 4 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e32 GB 256 bit LPDDR5 @ 3200MHz 204,8 GB\/sn\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eDepolamak\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e64 GB eMMC 5.1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eVideo Kodlama\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265); H.264, AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eVideo Kod Çözme\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 (H.265); H.264, VP9, ​​AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e16 şerit MIPI CSI-2 (16 Sanal Kanal*) D-PHY 2.1 40 Gbps\/C-PHY 2.0 164 Gbps\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003ePCI Express\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e22 şeritli PCIe Gen 4; 2 x8, 1 x4, 2 x1'e kadar\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e1 Gbe RGMII | 4x 10 Gbe XFI\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eMekanik\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e100mm x 87mm; 699 pinli konnektör\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eGüç\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e15W ila 40W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eHSCODE\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8543709990\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eUSHSCODE\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8543709860\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eABHSKODU\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eCOO\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eÇİN\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eUPC\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNeler Dahil?\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson AGX Orin Modülü 32 GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eOtonom Araçlar\u003c\/li\u003e  \u003cli\u003eRobotlar ve İHA'lar\u003c\/li\u003e  \u003cli\u003eEndüstriyel Otomasyon ve Makine Görüşü\u003c\/li\u003e  \u003cli\u003eEğitim ve Araştırma\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"NVIDIA Jetson AGX Orin Module, Custom reComputer with NVIDIA Jetson, featuring interface design, logo integration, and image flashing for optimized performance and branding.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-AGX-Orin-Module-CM48Q.webp?v=1759678550\"\u003e\u003cp\u003eNVIDIA Jetson, arayüz, logo ve resim flaşlamalı özel bilgisayar.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833553010912,"sku":"206001693","price":1549.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/900-13701-0040-000-2t_1_1.jpg?v=1759678174"},{"product_id":"a203v2-carrier-board-for-jetson-nano-xavier-nx-tx2-nx","title":"NVIDIA Jetson Nano\/Xavier NX\/TX2 NX için M.2 Key M\/E, GbE, USB 3.0, HDMI, CSI destekli A203v2 Taşıyıcı Kart, -25–65°C","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eA203v2 taşıyıcı kartı, NVIDIA Jetson Nano, Xavier NX ve TX2 NX modülleri için geliştirilmiş, genişletilmiş bir taşıyıcı karttır (modüller dahil değildir). Üretim, lojistik, perakende ve tarım alanlarında uçtan uca AI robotik ve kenar bilişim dağıtımlarını desteklemek için Ethernet, USB, HDMI, CSI kamera, M.2 depolama ve M.2 kablosuz genişleme gibi zengin çevresel arayüzleri entegre eder. Kompakt 87mm x 52mm x 26mm tasarımı ve -25℃ ile 65℃ arasındaki çalışma sıcaklığı, UAV'ler, insansız botlar ve insansız denizaltılar gibi video analitiği ve robotik platformlar için uygundur.\u003c\/p\u003e\u003ch2\u003eÖnemli Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano\/Xavier NX\/TX2 NX için 260-pin modül konektörü ile taşıyıcı kart.\u003c\/li\u003e\n\u003cli\u003eAğ: 1x Gigabit Ethernet (10\/100\/1000M) RJ-45 üzerinden.\u003c\/li\u003e\n\u003cli\u003eUSB: 2x USB 3.0 Type-A, 1x USB 3.0 0.5mm aralıklı 20-pin ZIF, 1x USB 2.0 Micro-B.\u003c\/li\u003e\n\u003cli\u003eVideo G\/Ç: 1x CSI kamera konektörü ve 1x HDMI dik açılı dik konektör.\u003c\/li\u003e\n\u003cli\u003eDepolama genişletme: 1x M.2 Anahtar M (2242) ve 1x MicroSD kart yuvası.\u003c\/li\u003e\n\u003cli\u003eKablosuz genişleme: 1x M.2 Anahtar E (PCIe 2230) Wi-Fi\/Bluetooth modülleri için.\u003c\/li\u003e\n\u003cli\u003eSoğutma ve zamanlama: 1x fan Picoblade başlığı ve 1x RTC 3V (2-pin).\u003c\/li\u003e\n\u003cli\u003eÇok işlevli başlıklar: 1x 2.0 pitch 40-pin (UART, GPIO, SPI, vb.) ve 1x 2.0 pitch 14-pin (Reset, CAN, Recovery, vb.).\u003c\/li\u003e\n\u003cli\u003eGüç: 9–20V DC girişi @ 7A (görüntü), DC jak 12V\/5A; XT30 DC güç konektörü.\u003c\/li\u003e\n\u003cli\u003eMekanik: 87mm x 52mm x 26mm; ağırlık 100g (görüntü).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ch3\u003eUyumluluk\u003c\/h3\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Nano \/ Xavier NX \/ TX2 NX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül Bağlantısı\u003c\/td\u003e\n\u003ctd\u003e260-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1x Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.0 Tip-A; 1x USB 3.0 0.5mm pitch 20-pin ZIF; 1x USB 2.0 Mikro-B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKamera\u003c\/td\u003e\n\u003ctd\u003e1x CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEkran\u003c\/td\u003e\n\u003ctd\u003e1x HDMI dik açı sağ konektör\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M (2242); 1x MicroSD kart yuvası\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKablosuz Genişleme\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E (PCIe 2230)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoğutma\u003c\/td\u003e\n\u003ctd\u003e1x fan Picoblade başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003eRTC 3V, 2-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇok Fonksiyonlu Başlıklar\u003c\/td\u003e\n\u003ctd\u003e2.0 pitch 40-pin (UART, GPIO, SPI, vb.); 2.0 pitch 14-pin (Reset, CAN, Kurtarma, vb.)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Girişi\u003c\/td\u003e\n\u003ctd\u003e9–20V DC girişi @ 7A (görüntü); DC jak 12V\/5A; XT30 DC güç\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyutlar (G x D x Y)\u003c\/td\u003e\n\u003ctd\u003e87mm x 52mm x 26mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma Sıcaklığı\u003c\/td\u003e\n\u003ctd\u003e-25℃ ile 65℃ arası\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğırlık\u003c\/td\u003e\n\u003ctd\u003e100g (görüntü)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNotlar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson Nano kullanırken, M.2 Key E çalışamaz; bunun yerine M.2 Key M kullanın.\u003c\/li\u003e\n\u003cli\u003eJetson Nano kullanırken, CAN çalışamaz.\u003c\/li\u003e\n\u003cli\u003eModüle işletim sistemi yüklemek için: kurtarma moduna girin, A203v2 üzerindeki 14-pin IO'yu bulun ve Pin 3'ü (KURTARMA) GND ile bir jumper kablosu ile kısa devre yapın.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003cli\u003eYapay Zeka Video Analitiği\u003c\/li\u003e\n\u003cli\u003eMakine Görüşü\u003c\/li\u003e\n\u003cli\u003eÜretken Yapay Zeka\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eA203v2 taşıyıcı kart\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Adaptörü 90W 19V (güç kablosu dahil değildir)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDeğişim hattı (XT30 dişi - DC Güç Jack erkek)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/A203-V2-Carrier-Board-Specification.pdf\" target=\"_blank\"\u003eA203 V2 Taşıyıcı Kart Özellikleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/A203_V.2\/A203_V2_top.dwg\" target=\"_blank\"\u003eA203 V2 Üst View.dwg\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/A203_V.2\/A203_V2_BOTTOM.dwg\" target=\"_blank\"\u003eA203 V2 Alt View.dwg\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/103110043\/A203%20V2%20pin%20description.pdf\" target=\"_blank\"\u003eA203 V2 PIN description.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/203_paba.stp\" target=\"_blank\"\u003eA203 3D Dosyası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/jetsonhacks\/bootFromUSB\" target=\"_blank\"\u003eTaşıyıcı kart SD kart\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNVIDIA Jetson Cihazları ve Taşıyıcı Kartlar Karşılaştırmaları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Donanım Kataloğu\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8543909000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8543709099\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"A203v2 Carrier Board supports Jetson models, offers USB 3.0, HDMI, M.2, and more; operates in harsh environments, weighs 100g, ideal for robotics and computer vision.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A203v2-Carrier-Board-dRUmy.webp?v=1759824123\"\u003e\u003cp\u003eA203v2 Taşıyıcı Kart, Jetson Xavier NX\/Nano\/TX2'yi destekler ve 260-pin konektör, USB 3. özelliklerine sahiptir.0, HDMI, M.2, RJ-45, CSI ve GPIO. -25°C ile 65°C arasında çalışır, 100g ağırlığındadır, robotik ve bilgisayarla görme uygulamaları için idealdir.\u003c\/p\u003e\u003cimg alt=\"The A203v2 Carrier Board features DC power, Ethernet, USB 3.0, HDMI, M.2 SSD, CSI, and multiple connectors including 40-pin and 14-pin interfaces. (24 words)\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A203v2-Carrier-Board-BBcpy.webp?v=1759824147\"\u003e\u003cp\u003eA203v2 Taşıyıcı Kart, DC güç, Ethernet, USB 3.0, HDMI, M.2 SSD, CSI ve 40-pin ile 14-pin çok fonksiyonlu arayüzler gibi birden fazla konektör sunar. (30 kelime)\u003c\/p\u003e\u003cimg alt=\"A203v2 carrier board features SD slot, M.2 E key, fan, and labeled 260-pin connector for drone integration and expansion.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A203v2-Carrier-Board-sLLij.webp?v=1759824166\"\u003e\u003cp\u003eA203v2 \u003ca href=\"https:\/\/rcdrone.top\/collections\/carrier-boards\" title=\"Carrier Board\"\u003eTaşıyıcı Kart\u003c\/a\u003e, SD yuvası, M.2 E anahtarı, fan ve etiketli 260-pin konektör ile birlikte gelir.\u003c\/p\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"A203v2 Carrier Board, Multifunctional headers for various applications, including UART, GPIO, and SPI connections.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A203v2-Carrier-Board-i6tXG.png?v=1759824183\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47838381211872,"sku":"103110043","price":319.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/a203_front-05.jpg?v=1759823851"},{"product_id":"recomputer-j202-carrier-board-for-jetson-xavier-nx-nano-tx2-nx","title":"nVIDIA Jetson Xavier NX\/Nano\/TX2 NX için reComputer J202 Taşıyıcı Kart, 4x USB3.1, M.2 E\/M, HDMI 2.1, DP, GbE, CAN, RTC","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer J202 Taşıyıcı Kartı, \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Xavier NX, Jetson Nano ve TX2 NX modülleri için tasarlanmıştır. NVIDIA Jetson Xavier NX taşıyıcı kartı ile neredeyse aynı tasarım ve işlevi takip eder ve 4x USB 3.1 Gen2 portu, WiFi\/Bluetooth modülleri için M.2 Key E, SSD için M.2 Key M, RTC, CAN, Raspberry Pi 40-pin GPIO ve daha fazlasını entegre eder.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson Xavier NX\/Nano\/TX2 NX modülleri için uyumlu taşıyıcı kart\u003c\/li\u003e\n\u003cli\u003e4x USB 3.1 Type‑A (Xavier NX için 10Gbps, Nano için 5Gbps), artı 1x USB2.0 Type‑C (Cihaz Modu)\u003c\/li\u003e\n\u003cli\u003eAğ: 1x RJ‑45 Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003eKamera: 2x CSI\u003c\/li\u003e\n\u003cli\u003eEkran çıkışları: 1x HDMI 2.1 ve 1x DP\u003c\/li\u003e\n\u003cli\u003eGenişletme: 1x 40-Pin Genişletme başlığı ve 1x 12-Pin Kontrol \u0026amp; UART başlığı\u003c\/li\u003e\n\u003cli\u003eDepolama \u0026amp; kablosuz: 1x M.2 Key M için SSD, 1x M.2 Anahtar E WiFi\/Bluetooth modülü\u003c\/li\u003e\n\u003cli\u003eSoğutma \u0026ve zamanlama: 1x Fan konektörü, 1x RTC 2‑pin\u003c\/li\u003e\n\u003cli\u003eGüç girişi: DC 12V\/5A\u003c\/li\u003e\n\u003cli\u003eMekanik: 100mm x 80mm; kurulum masa veya duvara montajı destekler\u003c\/li\u003e\n\u003cli\u003eÇalışma sıcaklığı: 0℃~60℃\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ – Ethernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ‑45 Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ – M.2 Anahtar E\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E WiFi\/Bluetooth modülü için\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eG\/Ç – USB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.1 Tip‑A (Xavier NX için 10Gbps, Nano için 5Gbps), 1x USB2.0 Tip‑C (Cihaz Modu)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eG\/Ç – Kamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eG\/Ç – Ekran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1, 1x DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI\/O – Fan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x Fan konektörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI\/O – CAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x CAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI\/O – Genişletme\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40-Pin Genişletme başlığı; 1x 12-Pin Kontrol ve UART başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI\/O – RTC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC 12V\/5A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMekanik – Boyutlar (G x D)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e100mm x 80mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMekanik – Kurulum\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMasa, duvara montaj\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0℃~60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eMIPI-CSI kamera konektörleri (2x)\u003c\/li\u003e\n\u003cli\u003eHDMI ve DP görüntü çıkışları\u003c\/li\u003e\n\u003cli\u003eUSB 3.1 port (4x) ve USB Type‑C (Cihaz Modu)\u003c\/li\u003e\n\u003cli\u003eRJ‑45 Gigabit Ethernet\u003c\/li\u003e\n\u003cli\u003e40-pin genişletme başlığı (GPIO, I2C, UART) ve 12-pin Kontrol\/UART başlığı\u003c\/li\u003e\n\u003cli\u003eFan başlığı\u003c\/li\u003e\n\u003cli\u003eRTC soketi\/2-pin\u003c\/li\u003e\n\u003cli\u003eM.2 Anahtar E (WiFi\/Bluetooth) ve M.2 Anahtar M (SSD)\u003c\/li\u003e\n\u003cli\u003eJetson modülleri için 260-pin SODIMM konektörü\u003c\/li\u003e\n\u003cli\u003eDC güç jakı\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAI video analitiği\u003c\/li\u003e\n\u003cli\u003eMakine görüşü\u003c\/li\u003e\n\u003cli\u003eOtonom mobil robotlar (AMR)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/J202\/reComputer_Jetson-J202_datasheet.pdf\" target=\"_blank\"\u003ereComputer J202 datasheet.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer-J202-PCBA-2D\u0026amp;3D.zip\" target=\"_blank\"\u003ereComputer J202 PCBA 2D\u0026amp;3D.zip\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8543909000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8543903500\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEUHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8543709099\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCOO\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ereComputer J202 \u003ca href=\"https:\/\/rcdrone.top\/collections\/carrier-boards\" title=\"Carrier Board\"\u003eTaşıyıcı Kart\u003c\/a\u003e x1\u003c\/li\u003e\n\u003cli\u003e12V\/5A Güç adaptörü 5.5mm\/2.1mm (güç kablosu sağlanmamıştır) x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eNot:\u003c\/strong\u003e Ürün bir güç adaptörü içermektedir ancak AC üçlü güç kablosu içermemektedir. Lütfen bölgeniz için uygun kabloyu satın alın: \u003ca href=\"https:\/\/www.seeedstudio.com\/AC-US-p-5122.html\" target=\"_blank\"\u003eAC Üçlü Güç Kablosu – ABD\u003c\/a\u003e; \u003ca href=\"https:\/\/www.seeedstudio.com\/AC-EU-p-5121.html\" target=\"_blank\"\u003eAC Üçlü Güç Kablosu – AB\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"The reComputer J202 Carrier Board supports Jetson models, offers open-source hardware, Wi-Fi\/Bluetooth, M.2 SSD, Gigabit Ethernet, USB, HDMI, and is ideal for robotics and computer vision applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j202-carrier-board-TnS6Z.webp?v=1759827087\"\u003e\u003cp\u003e\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003ereComputer\u003c\/a\u003e J202 Taşıyıcı Kart, Jetson Xavier NX\/Nano\/TX2'yi destekler ve 260-pin konektör, açık kaynak donanım, geniş sıcaklık aralığı, Wi-Fi\/Bluetooth, M.2 SSD, Gigabit Ethernet, birden fazla USB portu, HDMI ve robotik ile bilgisayarla görme uygulamaları gibi özellikler sunar.\u003c\/p\u003e\u003cimg alt=\"J202 Carrier Board, Compact embedded board with SODIMM, USB 3.1, HDMI, DP, Type-C, Ethernet, PoE, GPIO, camera connectors, and multiple interfaces for enhanced connectivity and expansion.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j202-carrier-board-0fKoT.webp?v=1759827118\"\u003e\u003cp\u003e260-pin SODIMM, dört USB 3.1 portu, DP ve HDMI çıkışları, DC güç girişi, USB Type-C, Gigabit Ethernet, PoE, LED gösterge, GPIO, I2C, UART, CAN, fan girişi, RTC 2-pin, çift MIPI-CSI kamera konektörleri, kontrol ve UART girişi ile 40-pin genişletme başlığına sahiptir. Kompakt gömülü uygulamalarda geliştirilmiş bağlantı ve genişletme için birden fazla arayüzü destekler.\u003c\/p\u003e\u003cimg alt=\"The J202 Carrier Board features M.2 KEY E\/M, RTC socket, multiple connectors, Seed Studio branding, and compliance marks for reliable drone integration.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j202-carrier-board-gQodD.webp?v=1759827141\"\u003e\u003cp\u003eJ202 Taşıyıcı Kart, M.2 KEY E, M.2 KEY M, RTC soketi, birden fazla konektör, Seed Studio markası ve uyumluluk işaretleri içerir.\u003c\/p\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"J202 Carrier Board, NVIDIA Jetson Xavier NX, Nano, and TX2 NX module carrier board designed for computer applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j202-carrier-board-xB981.png?v=1759827161\"\u003e\u003cimg alt=\"The reComputer J202 Carrier Board is designed for NVIDIA Jetson Xavier NX, Jetson Nano, and TX2 NX modules.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j202-carrier-board-H0KK8.png?v=1759827174\"\u003e\u003cimg alt=\"J202 Carrier Board, NVIDIA Jetson Xavier board with features like 4x USB3.1, M.2 E\/M, HDMI 2.1, and more\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j202-carrier-board-ujXjm.png?v=1759827188\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKCA.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47838414897376,"sku":"102991695","price":239.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/102991714_-_font_1.jpg?v=1759826707"},{"product_id":"a205e-carrier-board-for-jetson-nano-xavier-nx-tx2-nx","title":"NVIDIA Jetson Nano\/Xavier NX\/TX2 NX için A205E Taşıyıcı Kart; Çift GbE, 4x USB 3.1, 2x HDMI 2.0, M.2 Key M, RS232\/RS485\/CAN destekli","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson Nano, Xavier NX ve TX2 NX için A205E Taşıyıcı Kart, endüstriyel gömülü AI sistemleri oluşturmak üzere tasarlanmıştır. Endüstriyel RS232 ve RS485 arayüzlerini, yüksek hızlı I\/O'yu, CAN bus'ı ve esnek depolamayı entegre ederken, \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e modülleri ile uyumluluğunu korur. Kompakt 115mm x 105mm Taşıyıcı Kart, 9-36V DC girişle çalışır ve -25℃~80℃ sıcaklık aralığında kullanılabilir, bu da onu robotik, makine görüşü ve AI video analitiği uygulamaları için uygun hale getirir.\u003c\/p\u003e\u003ch2\u003eÖnemli Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano \/ Xavier NX \/ TX2 NX ile uyumlu (260-pin SODIMM konektörü)\u003c\/li\u003e\n\u003cli\u003eAğ: 2x Gigabit Ethernet (10\/100\/1000M); WiFi\/Bluetooth modülü\u003c\/li\u003e\n\u003cli\u003eUSB \u0026ve I\/O: 4x USB 3.1 Tip A, 1x USB 2.0 Tip C, 1x USB 2.0 ZIF 20P 0.5mm aralık\u003c\/li\u003e\n\u003cli\u003eKamera: 1x MIPI CSI-2 (MIPI CSI ve GMSL ile uyumlu)\u003c\/li\u003e\n\u003cli\u003eEkran: 2x HDMI 2.0 (Tip A)\u003c\/li\u003e\n\u003cli\u003eSes: 1x Ses Jakı, 2x Hoparlör Bağlantısı\u003c\/li\u003e\n\u003cli\u003eEndüstriyel arayüzler: 1x CAN; 1x RS485; 1x RS232; 1x UART; 1x SPI Veriyolu (+3.3V seviyesi); 2x I2C Bağlantısı (+3.3V G\/Ç)\u003c\/li\u003e\n\u003cli\u003eDepolama: 1x PCIe M.2 Anahtar M (NVMe SSD), 1x MicroSD kart yuvası\u003c\/li\u003e\n\u003cli\u003eSoğutma \u0026ve zamanlama: 1x FAN (5V PWM), RTC\u003c\/li\u003e\n\u003cli\u003eGüç: 9-36V DC girişi; Mekanik boyut: 115mm x 105mm; Çalışma sıcaklığı: -25℃~80℃\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eSSD Uyumluluk Notu\u003c\/h3\u003e\u003cp\u003ereComputer\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003e Jetson ile kullanılan SSD'ler için, bazı üçüncü taraf SSD'lerin bu ürünle çalışmayabileceğinden, \u003ca href=\"https:\/\/www.seeedstudio.com\/M-2-2280-SSD-128GB-p-5332.html\" target=\"_blank\"\u003e128GB\u003c\/a\u003e, \u003ca href=\"https:\/\/www.seeedstudio.com\/NVMe-M-2-2280-SSD-256GB-p-5333.html\" target=\"_blank\"\u003e256GB\u003c\/a\u003e veya \u003ca href=\"https:\/\/www.seeedstudio.com\/NVMe-M-2-2280-SSD-512GB-p-5334.html\" target=\"_blank\"\u003e512GB\u003c\/a\u003e kapasitelerinde Seeed NVMe M.2 2280 SSD'lerin seçilmesi önerilmektedir.\u003c\/p\u003e\u003ch2\u003eTeknik Özellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUyumluluk\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Nano \/ Xavier NX \/ TX2 NX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x PCIe M.2 Anahtar M (NVMe SSD); 1x MicroSD Kart yuvası\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKablosuz\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWiFi\/Bluetooth modülü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.1 Tip A; 1x USB 2.0 Tip C; 1x USB 2.0 ZIF 20P 0.5mm aralık\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x MIPI CSI-2 (MIPI CSI ve GMSL ile uyumlu)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x HDMI 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSes\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x Ses Jakı; 2x Hoparlör Bağlantısı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEndüstriyel G\/Ç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x CAN; 1x RS485; 1x RS232; 1x UART; 1x SPI Veri Yolu (+3.3V seviyesi); 2x I2C Bağlantısı (+3.3V I\/O)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSoğutma\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x FAN (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç Girişi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e9-36V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMekanik (G x D)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e115mm x 105mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-25℃~80℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eTahtada etiketlenmiş erişilebilir bağlantılar: çift RJ45 GbE, 4x USB 3.0\/3.1 Tip A, USB Tip-C 2.0, 2x HDMI 2.0, ses jakı, hoparlör bağlantıları, DC jakı, 20-pin I\/O, TF (MicroSD) yuvası, sıfırlama \u0026amp; kurtarma, güç düğmesi.\u003c\/li\u003e\n\u003cli\u003eTahta üzerindeki başlıklar ve soketler: I2C konektörü, RTC soketi, WiFi\/BLE modül alanı, Jetson modülleri için 260-pin SODIMM, 5V PWM fan başlığı.\u003c\/li\u003e\n\u003cli\u003eAlt taraf arayüzleri: SSD için M.2 Key M, MIPI CSI, DC giriş yönlendirmesi.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003cli\u003eYapay Zeka Video Analitiği\u003c\/li\u003e\n\u003cli\u003eMakine Görüşü\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/102110774_A205E%20carrier%20board\/A205E%20carrier%20board%20Datasheet.pdf\" target=\"_blank\"\u003eA205E taşıyıcı kart Datasheet.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/102110774_A205E%20carrier%20board\/A205E_PCBA_3D.stp\" target=\"_blank\"\u003eA205E_PCBA_3D.stp\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/102110774_A205E%20carrier%20board\/A205E_Specification.pdf\" target=\"_blank\"\u003eA205E_Specification.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNVIDIA Jetson Cihazları ve Taşıyıcı Kartlar Karşılaştırmaları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Donanım Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8543909000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8543903500\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUPC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEUHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8543709099\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCOO\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eA205E taşıyıcı kart x1\u003c\/li\u003e\n\u003cli\u003eGüç adaptörü 19V 4.74A (Güç kablosu olmadan) x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"A205E Carrier Board supports Jetson modules with industrial I\/O, dual GbE, Wi-Fi, M.2 SSD, and wide voltage\/temperature range for robotics and vision applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A205E-Carrier-Board-Gnu9v.webp?v=1759828109\"\u003e\u003cp\u003eA205E \u003ca href=\"https:\/\/rcdrone.top\/collections\/carrier-boards\" title=\"Carrier Board\"\u003eTaşıyıcı Kart\u003c\/a\u003e Jetson Xavier NX\/Nano\/TX2'yi destekler, 260-pin konektör, geniş sıcaklık aralığı (-25°C ile 80°C), endüstriyel iletişim, Wi-Fi\/Bluetooth, M.2 SSD, çift GbE, MIPI CSI, HDMI, USB portları, ses ve robotik ile bilgisayarla görme uygulamaları için 9-36V DC girişi sunar.\u003c\/p\u003e\u003cimg alt=\"The A205E Carrier Board provides extensive connectivity with Ethernet, USB, HDMI, audio, WiFi\/BLE, and multiple I\/O options via a 260-pin SODIMM interface.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A205E-Carrier-Board-EFjSh.webp?v=1759828158\"\u003e\u003cp\u003eA205E Taşıyıcı Kart, 2 RJ45 Ethernet, 4 USB 3.0, 2 HDMI 2.0, ses jakı, 260-pin SODIMM, USB 2.0, IIC, RTC soketi, WiFi\/BLE, TF kart, Type-C ve çoklu I\/O konektörleri ile çok yönlü bağlantı imkanı sunar.\u003c\/p\u003e\u003cimg alt=\"A205E Carrier Board, The text lists various applications and documents related to autonomous mobile robots, AI video analytics, and machine vision.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A205E-Carrier-Board-oxOMS.webp?v=1759828183\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47838421582048,"sku":"102110774","price":779.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-102110774-a205e-font.jpg?v=1759827694"},{"product_id":"a205-carrier-board-for-jetson-nano-xavier-nx-tx2-nx","title":"NVIDIA Jetson Nano\/Xavier NX\/TX2 NX için A205 Taşıyıcı Kart, 2x GbE, 6x CSI, 5x SATA, 4x USB 3.0, Çift HDMI, 13–19V DC","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eA205 Taşıyıcı Kart, NVIDIA Jetson Nano \/ Xavier NX \/ TX2 NX modülleri için kompakt bir genişletme platformudur (modül dahil değildir). Bu \u003ca href=\"https:\/\/rcdrone.top\/collections\/carrier-boards\" title=\"Carrier Board\"\u003etaşıyıcı kart\u003c\/a\u003e, depolama, kamera, ekran, ağ ve kontrol arayüzlerini 170mm x 100mm boyutunda bir alana entegre ederek robotik, otomatik optik muayene, AI video analitiği, 3D modelleme ve daha fazlası için kenar AI uygulamalarını mümkün kılar.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDesteklenen Jetson modülleri: Nano \/ Xavier NX \/ TX2 NX\u003c\/li\u003e\n\u003cli\u003eAğ: 2x Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003eUSB: 4x USB 3.0 Tip A (entegre USB 2.0), 1x USB 2.0 Tip C (OTG desteği)\u003c\/li\u003e\n\u003cli\u003eKamera: 6x MIPI CSI-2 konektörleri\u003c\/li\u003e\n\u003cli\u003eEkran: 2x HDMI\u003c\/li\u003e\n\u003cli\u003eDepolama: 5x SATA, 1x TF_Kart yuvası\u003c\/li\u003e\n\u003cli\u003eKablosuz genişletme: 1x M.2 Anahtar E; WiFi\/Bluetooth M. üzerinden.2 Anahtar E; 1x Standart USB WIFI Modu (4 pin arayüzü)\u003c\/li\u003e\n\u003cli\u003eSoğutma: 2 x Fan (12V\/5V), 1 x FAN (5V PWM)\u003c\/li\u003e\n\u003cli\u003eSes: 1 x Ses Jakı, 2 x Mikrofon, 2 x Hoparlör (1W)\u003c\/li\u003e\n\u003cli\u003eKontrol ve genişletme başlıkları: I2C, UART, GPIO, SPI, sistem\/güç kontrolü, LED durumu\u003c\/li\u003e\n\u003cli\u003eRTC desteklenmektedir\u003c\/li\u003e\n\u003cli\u003eGüç: +13V ile +19V DC Girişi @ 8A\u003c\/li\u003e\n\u003cli\u003eÇalışma sıcaklığı: -25℃ ~ 80℃\u003c\/li\u003e\n\u003cli\u003eNot: Jetson Nano kullanırken, M.2 Anahtar E çalışamaz.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÜrün Tipi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTaşıyıcı Kart\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUyumlu Modüller\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Nano \/ Xavier NX \/ TX2 NX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ Bağlantısı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.0 Tip A (entegre USB 2.0); 1x USB 2.0 Tip C (OTG desteği)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6x MIPI CSI-2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x HDMI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSes\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 x Ses Jakı; 2 x Mikrofon; 2 x Hoparlör (1W)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5x SATA; 1x TF_Kart yuvası\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 Genişletme\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E arayüzleri\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan Arayüzleri\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 x Fan (12V\/5V); 1 x FAN (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSPI Veriyolu\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 x SPI Veriyolu (+3.3V Seviyesi)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇok Fonksiyonlu Port\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x Sistem Kontrol; 1x Güç Kontrol; 2x I2C Bağlantısı (+3.3V G\/Ç); 1x UART (+3.3V Seviyesi); 2x GPIO (+3.3V Seviyesi); 2x SPI Veriyolu (+3.3V Seviyesi); 1x LED Durumu\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç Girişi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e+13V ile +19V DC Girişi @ 8A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMekanik (G x D)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e170mm x 100mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-25℃ ~ 80℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003ch3\u003eUSB kurtarma modu (USB güncellemesi için)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eSistem gücünü kapatın (güç kapalı olduğundan emin olun, bekleme modunda değil).\u003c\/li\u003e\n\u003cli\u003eTaşıyıcıyı ana cihaza bağlamak için bir USB Type-C kablosu kullanın.\u003c\/li\u003e\n\u003cli\u003eGücü açın.\u003c\/li\u003e\n\u003cli\u003eKurtarma tuşuna basılı tutun, ardından güç tuşuna basılı tutun. Işık yandığında, güç tuşunu bırakın, 2 saniye bekleyin, ardından kurtarma tuşunu bırakın. Veya, açıkken, sıfırlama ve kurtarma tuşuna basılı tutun; sıfırlamayı 2 saniye bırakın, ardından kurtarma tuşunu bırakın.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eSistem güncelleme adımları için güncelleme kılavuzunu takip edin.USB kurtarma modunda, sistem başlamaz ve seri portta hata ayıklama çıktısı yoktur.\u003c\/p\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003cli\u003eYapay Zeka Video Analitiği\u003c\/li\u003e\n\u003cli\u003eMakine Görüşü\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/A205-Carrier-Board-Specification.pdf\" target=\"_blank\"\u003eA205 Taşıyıcı Kart Özellikleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/114110048\/A205%20Pin%20Description%20.pdf\" target=\"_blank\"\u003eA205 Pin Description.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/114110048\/A205_TOP.dwg\" target=\"_blank\"\u003eA205 Üst View.dwg\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/114110048\/A205_BOTTOM.dwg\" target=\"_blank\"\u003eA205 Alt View.dwg\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/FL_A205_PCBA_3D.stp\" target=\"_blank\"\u003eA205 3D Dosyası (STEP)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNVIDIA Jetson Cihazları ve Taşıyıcı Kartlar Karşılaştırmaları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Donanım Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8543909000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8543903500\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEUHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8543709099\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCOO\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eA205 taşıyıcı kart x1\u003c\/li\u003e\n\u003cli\u003eGüç Adaptörü 19V\/4.74A (Maksimum 90W) (Güç kablosu dahil değildir) x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"A205 Carrier Board supports Jetson models with USB 3.0, GbE, MIPI CSI, HDMI, SATA, and TF; ideal for robotics and vision, operating from -25°C to 80°C.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A205-Carrier-Board-phWi6.webp?v=1759828955\"\u003e\u003cp\u003eA205 Taşıyıcı Kart, 260-pin konektör, 4x USB 3.0, çift GbE, 6x MIPI CSI, 2x HDMI, SATA, TF kart yuvası, ses ve DC girişi ile Jetson Xavier NX\/Nano\/TX2'yi destekler. Robotik ve bilgisayarla görme uygulamaları için tasarlanmıştır, -25°C ile 80°C arasında çalışır.\u003c\/p\u003e\u003cimg alt=\"The A205 Carrier Board includes multiple ports, connectors, FLY CORE chips, and dimension labels in cm and inches.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A205-Carrier-Board-uZw2F.webp?v=1759828983\"\u003e\u003cp\u003eA205 Taşıyıcı Kart, FLY CORE çipleri ve cm ile inç cinsinden etiketlenmiş boyutları ile birden fazla port, konektör ve bileşen içerir.\u003c\/p\u003e\u003cimg alt=\"The A205 Carrier Board features USB, HDMI, and GPIO ports, labeled components W1–W32, LED, FLY_CORE, with version PN900-4405-0001 REV:1.1_20210716.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A205-Carrier-Board-mZ4JQ.webp?v=1759829051\"\u003e\u003cp\u003eA205 Taşıyıcı Kart, USB, HDMI ve GPIO portlarına sahiptir. Bileşenler W1–W32, LED ve FLY_CORE olarak etiketlenmiştir. Versiyon: PN900-4405-0001 REV:1.1_20210716.\u003c\/p\u003e\u003cimg alt=\"A205 carrier board features labeled connectors W32–W36 for camera interfaces and central processing components.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A205-Carrier-Board-HobZY.webp?v=1759829184\"\u003e\u003cp\u003eA205 Taşıyıcı Kart, kamera arayüzleri ve merkezi işlem bileşenleri için etiketlenmiş konektörler W32 ile W36 içerir.\u003c\/p\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"A205 Carrier Board, When light is on, release power and recovery keys with a 2-second delay.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/A205-Carrier-Board-QAlWA.png?v=1759829208\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47838424727776,"sku":"114110048","price":719.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/11410048_front-05-min.png?v=1759827996"},{"product_id":"nvidia®-jetson-orin™-nano-super-developer-kit","title":"NVIDIA Jetson Orin Nano Süper Geliştirici Kiti, 67 TOPS, USB 3.2 Gen2, 2x M.2 Key M, Wi‑Fi, DP 1.2","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\n\u003cp\u003eNVIDIA Jetson Orin Nano Süper Geliştirici Kiti, Jetson Orin Nano 8GB modülü etrafında inşa edilmiş kompakt bir kenar AI Kitidir ve 67 TOPS'a kadar AI performansı sunar—bu, orijinal \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin Nano Geliştirici Kitine göre 1.7 katlık bir iyileşmedir. Düşük güç tüketimi ve düşük gecikme ile birden fazla eşzamanlı AI hattı sağlamak için 6 çekirdekli Arm Cortex‑A78AE CPU ile 1,024 CUDA çekirdeği ve 32 Tensor Çekirdeği içeren Ampere mimarisi GPU'yu birleştirir. El boyutundaki tasarımı (100mm x 79mm x 21mm), 4x USB 3.2 Gen2, DP 1.2, SSD için 2x M.2 Key M, önceden yüklenmiş bir Wi‑Fi\/Bluetooth modülü ile bir M.2 Key E yuvası, microSD, 2x MIPI CSI‑2, Gigabit Ethernet ve 40 pinli genişletme başlığı dahil olmak üzere zengin I\/O'yu entegre eder. Bir fanlı soğutucu ve bir güç adaptörü dahildir.\u003c\/p\u003e\n\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eJetson Orin Nano 8GB üzerinde 67 TOPS INT8 (Seyrek) AI performansı; yüksek verimlilikte çıkarım için Ampere GPU ve 6 çekirdekli Arm CPU.\u003c\/li\u003e\u003cli\u003eKompleks ayak izi: 100mm x 79mm x 21mm; fan ve güç adaptörü ile birlikte soğutucu içerir.\u003c\/li\u003e\n\u003cli\u003eGenişletme için zengin I\/O: 4x USB 3.2 Gen2, 1x USB Type‑C (UFP), DP 1.2 (+MST), 2x MIPI CSI‑2 (22‑pin), 1x Gigabit Ethernet, 1x 40‑pin genişletme başlığı, 1x 12‑pin kontrol\/UART başlığı, 1x CAN, 1x 4‑pin fan (5V PWM).\u003c\/li\u003e\n\u003cli\u003eDepolama ve kablosuz: 1x microSD yuvası; 2x M.2 Anahtar M SSD için (PCIe Gen3); 1x M.2 Anahtar E ile önceden yüklenmiş Wi‑Fi\/Bluetooth kombinasyon modülü.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eNotlar\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eFirmware: Cihazlar, JetPack 6.x ile uyumlu OLMAYAN eski fabrika yazılımı ile gönderilmektedir. JetPack 6.x görüntüsü ile flaşlanmış bir microSD kart kullanmadan önce en son yazılıma güncelleyin. Yazılım ve güncellemeleri \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\" rel=\"noopener\" target=\"_blank\"\u003ebu bağlantıdan\u003c\/a\u003e indirin.\u003c\/li\u003e\n\u003cli\u003eİlgili referans: \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-Super-J4012-p-6443.html\" rel=\"noopener\" target=\"_blank\"\u003ereComputer Super J4012\u003c\/a\u003e, Jetson Orin NX 16GB modülünü kullanır ve MAXN Süper Modda 157 TOPS'a kadar performans sunar.\u003c\/li\u003ehtml\n\u003c\/ul\u003e\n\u003ch2\u003eÖzellikler\u003c\/h2\u003e\n\u003ch3\u003eKonfigürasyon Karşılaştırması\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin Nano Geliştirici Kiti (orijinal)\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin Nano Süper Geliştirici Kiti\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere mimarisi; 1,024 CUDA Çekirdeği; 32 Tensor Çekirdeği; 635 MHz\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere mimarisi; 1,024 CUDA Çekirdeği; 32 Tensor Çekirdeği; 1,020MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e\n\u003ctd\u003e40 INT8 TOPS (Seyrek); 20 INT8 TOPS (Yoğun); 10 FP16 TFLOPs\u003c\/td\u003e\n\u003ctd\u003e67 TOPS (Seyrek); 33 TOPS (Yoğun); 17 FP16 TFLOPs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm Cortex‑A78AE v8.2 64 bit CPU; 1.5 GHz\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm Cortex‑A78AE v8.2 64 bit CPU; 1.\n7 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 68GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 102GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül Gücü\u003c\/td\u003e\n\u003ctd\u003e7W | 15W\u003c\/td\u003e\n\u003ctd\u003e7W | 15W | 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eJetson Orin Nano Modül Sistemi\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e\n\u003ctd\u003eJetson Orin Nano 8GB, modülde SD kart yuvası ile – 67 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere mimarisi ile 1,024 NVIDIA® CUDA® çekirdeği ve 32 Tensor Çekirdeği\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm® Cortex®‑A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Kodlayıcı\u003c\/td\u003e\n\u003ctd\u003e1–2 CPU çekirdeği tarafından desteklenen 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Dekodlayıcı\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç\u003c\/td\u003e\n\u003ctd\u003e7W–25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eTaşıyıcı Kart\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd\u003e1x microSD yuvası (UHS‑1 kartlar SDR104 moduna kadar)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ Bağlantısı\u003c\/td\u003e\n\u003ctd\u003e1x Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe\u003c\/td\u003e\n\u003ctd\u003eM.2 Anahtar M: 4x PCIe GEN3; 2x PCIe GEN3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Anahtar E\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E (önceden yüklenmiş 1x Wi‑Fi\/Bluetooth kombinasyon modülü); PCIe (x1), USB 2.0, UART, I2S ve I2C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4x Tip‑A USB 3.2 Gen2; 1x Tip‑C UFP için\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCSI Kamera\u003c\/td\u003e\n\u003ctd\u003e2x MIPI CSI‑2 (22‑pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEkran\u003c\/td\u003e\n\u003ctd\u003e1x DP 1.2 (+MST) konektörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan\u003c\/td\u003e\n\u003ctd\u003e1x 4‑pin Fan Konektörü (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCAN\u003c\/td\u003e\n\u003ctd\u003e1x CAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGenişletme\u003c\/td\u003e\n\u003ctd\u003e1x 40‑Pin Genişletme başlığı; 1x 12‑Pin Kontrol ve UART başlığı; RTC 2‑pin (CR1220 destekler, dahil değildir)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Kaynağı\u003c\/td\u003e\n\u003ctd\u003e9V–19V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyutsal (G x D x Y)\u003c\/td\u003e\n\u003ctd\u003e100mm x 79mm x 21mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÜrün Ağırlığı\u003c\/td\u003e\n\u003ctd\u003e0.176 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGaranti\u003c\/td\u003e\n\u003ctd\u003eGeliştirme kullanımı için yalnızca 1 yıl garanti\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eİçindekiler\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Jetson Orin Nano Süper Geliştirici Kiti\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e19V Güç Adaptörü\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTip B (ABD, JP, CA, PH) Güç Kablosu\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTip I (Çin) Güç Kablosu\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC Etiketi\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHızlı Başlangıç ve Destek Kılavuzu\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eİçermeyen öğeler\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003emicroSD kart (64GB UHS‑1 veya daha büyük önerilir)\u003c\/li\u003e\n\u003cli\u003eUSB klavye ve fare\u003c\/li\u003e\n\u003cli\u003eBilgisayar ekranı\u003c\/li\u003e\n\u003cli\u003eUSB kablo\u003c\/li\u003e\n\u003cli\u003eNVMe SSD kart\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eUygulamalar\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAI Video Analitiği\u003c\/li\u003e\n\u003cli\u003eMakine Görüşü\u003c\/li\u003e\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003cli\u003eÜretken AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eBelgeler\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/jetson-orin-datasheet-nano-developer-kit-3575392-r2.pdf\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA® Jetson Orin™ Nano Süper Geliştirici Kiti\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" rel=\"noopener\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Donanım Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg alt=\"NVIDIA Jetson Orin Nano Dev Kit, The design integrates rich I\/O including USB, DP, M.2, microSD, MIPI CSI-2, Ethernet, and an expansion header.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Dev-Kit-T8Ljb.png?v=1759841539\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47839072288992,"sku":"102110839","price":549.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-102110839-nvidia-jetson-orin-nano-developer-kit.jpg?v=1759840753"},{"product_id":"nvidia®-jetson-agx-thor™-developer-kit","title":"NVIDIA® Jetson AGX Thor™ Geliştirici Kiti, Blackwell GPU, 2070 FP4 TFLOPS, 14 çekirdekli CPU, 128 GB LPDDR5X, zengin I\/O, 130 W","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eNVIDIA® Jetson AGX Thor™ Geliştirici Kiti, bir sonraki nesil insansı robotlar için özel olarak tasarlanmış bir Geliştirici Kitidir. Blackwell mimarisi GPU ile 128 GB yüksek hızlı bellek sunarak, kompakt bir 130 W güç aralığında 2070 FP4 TFLOPS AI performansı sağlar. Jetson AGX Orin™ ile karşılaştırıldığında, en son üretken AI modellerini çok modlu algılama, karar verme ve kontrol için gerçek zamanlı olarak çalıştırmak üzere %7.5 daha fazla AI performansı ve %3.5 daha iyi enerji verimliliği sunar.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003ch3\u003eRobotlar için Aşırı AI Performansı\u003c\/h3\u003e\u003cp\u003e2560 çekirdek ve 96 Tensor Core içeren Blackwell GPU'ya sahip Jetson T5000 modülü ile güçlendirilmiştir ve 2070 FP4 \/ 1035 FP8 TFLOPS'a kadar performans sunar—LLM, VLA (NVIDIA® Isaac™ GR00TN gibi), ViT gibi geniş bir yelpazede üretken AI modellerini çalıştırmak için idealdir.\u003c\/p\u003e\u003ch3\u003eTransformer ve Çok Modlu İş Yükleri için Optimize Edilmiş\u003c\/h3\u003e\u003cp\u003eYerleşik Transformer motoru, Çoklu Örnek GPU (MIG) desteği ve 128 GB LPDDR5X bellek (273 GB\/s), kenarda verimli eğitim ve çıkarım sağlar.\u003c\/p\u003e\u003ch3\u003eGerçek Zamanlı İşleme ve Kontrol\u003c\/h3\u003e\u003cp\u003e14 çekirdekli Arm® Neoverse®‑V3AE 64 bit CPU, gerçek zamanlı robotik uygulamalar için hızlı, belirleyici bir performans sunar.\u003c\/p\u003e\u003ch3\u003eYüksek Hızlı Sensör ve Ağ Entegrasyonu\u003c\/h3\u003e\u003cp\u003e4× 25 GbE bağlantısına, 140 W güç kaynağına ve yüksek bant genişliği, düşük gecikmeli sensör füzyonu için HDMI, DisplayPort, USB 3.2\/USB‑C, CAN ve GbE dahil zengin G\/Ç desteğine sahiptir.\u003c\/p\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYapay Zeka Performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2070 TFLOPS (FP4—Seyrek)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2560 çekirdekli NVIDIA Blackwell mimarisi GPU, 96 beşinci nesil Tensor Core ile; 10 TPC ile Çoklu Örnek GPU (MIG)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Maksimum Frekansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1.57 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e14 çekirdekli Arm® Neoverse®‑V3AE 64 bit CPU; her çekirdek için 1 MB L2 önbellek; 16 MB paylaşımlı sistem L3 önbellek\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU Maksimum Frekansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2.6 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGörüş Hızlandırıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 adet PVA v3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e128 GB 256 bit LPDDR5X; 273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 TB NVMe M.2 Anahtar M Yuvası; PCIe üzerinden NVMe desteği; USB 3.0 üzerinden SSD desteği.html\n2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Kodlama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6× 4Kp60 (H.265); 12× 4Kp30 (H.265); 24× 1080p60 (H.265); 50× 1080p30 (H.265); 48× 1080p30 (H.264); 6× 4Kp60 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Çözme\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4× 8Kp30 (H.265); 10× 4Kp60 (H.265); 22× 4Kp30 (H.265); 46× 1080p60 (H.265); 92× 1080p30 (H.265); 82× 1080p30 (H.264); 4× 4Kp60 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eQSFP yuvası üzerinden HSB kamera; USB kamera; HSB üzerinden 20'ye kadar kamera; 16× yollar MIPI CSI‑2 üzerinden 6'ya kadar kamera; Sanal Kanallar kullanarak 32'ye kadar kamera; C‑PHY 2.1 (10.25 Gbps); D‑PHY 2.1 (40 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePCIe*\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eM.2 Anahtar M yuvası ile x4 PCIe Gen5; M.2 Anahtar E yuvası ile x1 PCIe Gen5; Gen5'e kadar (x8 yollar); Sadece kök port—C1 (x1) ve C3 (x2); Kök Noktası veya Uç Nokta—C2 (x1), C4 (x8), ve C5 (x4)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB*\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2× USB‑A (3.2 Gen2); 2× USB‑C (3.\n1); xHCI ana denetleyici ile entegre PHY (3× USB 3.2 ve 4× USB 2.0'a kadar)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ*\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1× 5GBe RJ45 konektörü; 1× QSFP28 (4× 25 GbE); 4× 25 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1× HDMI 2.0b; 1× DisplayPort 1.4a; 4× paylaşılan HDMI 2.1; VESA DisplayPort 1.4a—HBR2, MST\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDiğer G\/Ç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eQSFP konektörü; M.2 Anahtar E genişletme yuvası (WLAN\/BT, x1 PCIe, USB2.0, UART, I2C, I2S); M.2 Anahtar M konektörü (NVMe depolama için); PCIe x4 hattı, I2C, PCIe x2 hattı; 2× 13‑pin CAN başlığı; 2× 6‑pin otomasyon başlığı; LED; JTAG konektörü (2× 5‑pin başlık); 1× fan konektörü—12 V, PWM, Tach; Ses paneli başlığı (2× 5‑pin); Microfit güç jakı; RTC yedek pil konektörü 2‑pin; 5× I2S\/2× ses hub'ı (AHUB), 2× DMIS, 4× UART, 4× CAN, 3× SPI, 13× I2C, 6× PWM çıkışları\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e40 W – 130 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMekanik\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGeliştirici kiti: 243.19 mm × 112.40 mm × 56.88 mm; Termal Transfer Plakası (TTP) ve isteğe bağlı fan veya soğutucu. Modül: 100 mm × 87 mm; 699‑pin B2B konektörü; Isı borulu entegre TTP.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003e* Desteklenen özellikler için en son NVIDIA Jetson Linux Geliştirici Kılavuzu'nun Yazılım Özellikleri bölümüne bakın.\u003cbr\u003e** Düşük hızlı I\/O spesifikasyonu değişikliklere tabidir.\u003c\/p\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA® Jetson T5000 modülü, soğutucu ve referans taşıyıcı kart ×1\u003c\/li\u003e\n\u003cli\u003eDC güç 140 W ×1\u003c\/li\u003e\n\u003cli\u003eWiFi Modülü ×1\u003c\/li\u003e\n\u003cli\u003e1 TB NVMe ×1\u003c\/li\u003e\n\u003cli\u003eHızlı Başlangıç Kılavuzu ×1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eİnsansı robotik geliştirme ve iş akışları\u003c\/li\u003e\n\u003cli\u003eUzamsal zeka: NVIDIA Video Özetleme ve Arama (VSS) kullanan görsel AI ajanları\u003c\/li\u003e\n\u003cli\u003eÇoklu sensör işleme ve NVIDIA Holoscan ile gerçek zamanlı sensör füzyonu\u003c\/li\u003e\n\u003cli\u003eKenarda Üretken AI: çok modluluk ve temel modeller\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"https:\/\/nvdam.nvidia.com\/c\/bg2nvwaz?t=qf3z5c7k\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8543709990\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517620090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8543709099\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"Jetson AGX Thor Developer Kit, NVIDIA Jetson T5000 offers 2070 TFLOPS AI, 273 GB\/s bandwidth, 14-core CPU, 1TB SSD, Wi-Fi 6e, rich I\/O, and advanced cooling for humanoid robots.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-cGbWk.webp?v=1759842100\"\u003e\u003cp\u003e\u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e T5000, 2070 TFLOPS AI performansı, 273 GB\/s bellek bant genişliği ve 14 çekirdekli CPU sunmaktadır.Özellikler arasında 1TB NVMe SSD, Wi-Fi 6e, zengin I\/O bağlantısı, ısı emici, fan ve insansı robotlar için gelişmiş soğutma bulunmaktadır.\u003c\/p\u003e\u003cimg alt=\"Jetson AGX Thor Developer Kit, NVIDIA GROOT accelerates humanoid robot development using advanced workflows, demonstrated by two robots in a lab environment.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-xm4wV.webp?v=1759842120\"\u003e\u003cp\u003eİnsansı Robotik. NVIDIA GROOT iş akışları ile insansı robot geliştirmeyi hızlandırın. Laboratuvar ortamında iki robot.\u003c\/p\u003e\u003cimg alt=\"Jetson AGX Thor Developer Kit, AI agent uses NVIDIA tech for video analysis, tracing 10 years of AI evolution from perception to physical AI, with audio transcription and search capabilities.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-mo7jo.webp?v=1759842145\"\u003e\u003cp\u003eNVIDIA Video Özetleme ve Arama ile desteklenen Görsel AI ajanı. AI evrimini - Algıdan Fiziksel AI'ya - on yıl boyunca izler. Ses transkripsiyonunu içerir.\u003c\/p\u003e\u003cimg alt=\"Jetson AGX Thor Developer Kit, NVIDIA Holoscan enables real-time, streamlined multi-sensor processing for efficient data integration and analysis.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-JX1IG.webp?v=1759842163\"\u003e\u003cp\u003eÇoklu Sensör İşleme: NVIDIA Holoscan ile sensör işlemesini gerçek zamanlı olarak kolaylaştırın.\u003c\/p\u003e\u003cimg alt=\"Jetson AGX Thor Developer Kit, Generative AI powers physical world via edge deployment, multimodality, and foundation models.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-mkb2F.webp?v=1759842180\"\u003e\u003cp\u003eÜretken AI, kenar dağıtımı, çok modluluk ve temel modeller aracılığıyla fiziksel dünyayı güçlendirir.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Jetson AGX Thor T4000 Module","offer_id":53131282907360,"sku":"100060965","price":4599.0,"currency_code":"USD","in_stock":true},{"title":"Jetson AGX Thor T5000 Module","offer_id":53131282940128,"sku":"100060966","price":6229.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/image-kit-3.webp?v=1759844260"},{"product_id":"nvidia-jetson-agx-orin-64gb-developer-kit","title":"NVIDIA Jetson AGX Orin 64GB Geliştirici Kiti – 275 TOPS Edge AI, 12 çekirdekli CPU, 64GB LPDDR5, 64GB eMMC, PCIe Gen4, 10GbE","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson AGX Orin 64GB Geliştirici Kiti, robotik ve kenar AI için önemli bir adım sunmaktadır. Bu Geliştirici Kiti, 15W–60W yapılandırılabilir güç aralığında, kompakt bir form faktöründe 275 TOPS'a kadar AI performansı sağlar; bu da gelişmiş robotlar, otonom makineler ve gerçek zamanlı analiz sistemleri oluşturmak için Jetson AGX Xavier'ın AI performansının 8 katından fazlasını sunar. Geliştiriciler, doğal dil anlama, 3D algılama ve çoklu sensör füzyonu için büyük, karmaşık modelleri aynı platformda dağıtabilirler.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eKenar AI performansı: 275 TOPS'a kadar; Jetson AGX Xavier performansının 8 katından fazla; 15W–60W yapılandırılabilir güç.\u003c\/li\u003e\n\u003cli\u003eYerleşik depolama ve bellek: 64GB eMMC ile 64GB DRAM ve 204 GB\/s bellek bant genişliği.\u003c\/li\u003e\n\u003cli\u003eÇoklu sensör iş yükleri için yüksek hızlı I\/O: 22 hat PCIe Gen4, 1× 10GbE, DisplayPort, 16 hat MIPI CSI‑2, USB 3.2 ve 40 pinli başlık.\u003c\/li\u003e\n\u003cli\u003eJetPack 6.0 desteği: Linux 36'ya dayanmaktadır.2 Linux Kernel 5.15, UEFI tabanlı önyükleyici, Ubuntu 22.04 kök dosya sistemi, NVIDIA sürücüleri, gerekli firmware, araç zinciri ve daha fazlasını sağlamaktadır.\u003c\/li\u003e\n\u003cli\u003eNot: Jetson AGX Orin Geliştirici Kiti, 64GB bellek ile güncellenmiştir. Performans, bellek kapasitesi dışında orijinal 32GB versiyonu ile aynıdır.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ch3\u003eJetson AGX Orin Modülü (Modül Üzerinde Sistem)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e\n\u003ctd\u003eJetson AGX Orin 64GB – 275 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e2048 NVIDIA CUDA çekirdeği ve 64 Tensor çekirdeği ile NVIDIA Ampere mimarisi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e12 çekirdekli Arm Cortex‑A78AE v8.2 64 bit CPU; 3MB L2 + 6MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL Hızlandırıcı\u003c\/td\u003e\n\u003ctd\u003e2× NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGörsel Hızlandırıcı\u003c\/td\u003e\n\u003ctd\u003ePVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBellek\u003c\/td\u003e\n\u003ctd\u003e64GB 256 bit LPDDR5, 204.8GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Kodlama (H.265)\u003c\/td\u003e\n\u003ctd\u003e2× 4K60 | 4× 4K30 | 8× 1080p60 | 16× 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Dekodlama (H.265)\u003c\/td\u003e\n\u003ctd\u003e1× 8K30 | 3× 4K60 | 6× 4K30 | 12× 1080p60 | 24× 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül Gücü\u003c\/td\u003e\n\u003ctd\u003e15W–60W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eTaşıyıcı Kart\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd\u003e1× M.2 Anahtar M (4× PCIe Gen4); SSD modülü dahil değildir\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ – Ethernet\u003c\/td\u003e\n\u003ctd\u003e1× RJ45, 10GbE'ye kadar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ – M.2 Anahtar E\u003c\/td\u003e\n\u003ctd\u003e1× PCIe Gen4, USB 2.0, UART, I2S (Kablosuz modül dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2× USB 3.2 Gen2 Type‑C; 2× USB 3.2 Gen2 Type‑A; 2× USB 3.2 Gen1 Type‑A; USB 2.0 Micro‑B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKamera\u003c\/td\u003e\n\u003ctd\u003e16‑yol MIPI CSI‑2 konektörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEkran\u003c\/td\u003e\n\u003ctd\u003eDisplayPort 1.4a (+MST)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan\u003c\/td\u003e\n\u003ctd\u003e1× 4‑pin fan başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe Yuvası\u003c\/td\u003e\n\u003ctd\u003e16× PCIe yuvası, 8× PCIe Gen4 desteğiyle\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e2‑pin RTC pil yedekleme konektörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003emicroSD\u003c\/td\u003e\n\u003ctd\u003eUHS‑I kartlar SDR104 moduna kadar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDiğer G\/Ç\u003c\/td\u003e\n\u003ctd\u003e40‑pin başlık (I2C, GPIO, SPI, CAN, I2S, UART, DMIC); 12‑pin otomasyon başlığı; 10‑pin ses paneli başlığı; 10‑pin JTAG başlığı; DC güç jakı; Güç, Zorla Kurtarma ve Sıfırlama butonları\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGiriş Gücü\u003c\/td\u003e\n\u003ctd\u003e12–36V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyutlar\u003c\/td\u003e\n\u003ctd\u003e110mm × 110mm × 71.65mm (yükseklik ayaklar, taşıyıcı kart, modül ve termal çözüm dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e AGX Orin Geliştirici Kiti ×1\u003c\/li\u003e\n\u003cli\u003eGüç Adaptörü AC Güç Bloğu 90W ×1\u003c\/li\u003e\n\u003cli\u003eUSB‑C Kablo ×1\u003c\/li\u003e\n\u003cli\u003eTip B (ABD, CA, JP) Güç Kablosu ×1\u003c\/li\u003e\n\u003cli\u003eTip I (Çin) Güç Kablosu ×1\u003c\/li\u003e\n\u003cli\u003eTip B (Tayvan) Güç Kablosu ×1\u003c\/li\u003e\n\u003cli\u003eUPC Etiketi ×1\u003c\/li\u003e\n\u003cli\u003eHızlı Başlangıç ve Destek Kılavuzu ×1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003ch3\u003eUygulama Alanları\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eAI Video Analitiği\u003c\/li\u003e\n\u003cli\u003eMakine Görüşü\u003c\/li\u003e\n\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003cli\u003eÜretken AI\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eÜretken AI'yi kenara getirme yeteneği\u003c\/h3\u003e\u003cp\u003eCanlı veya arşivlenmiş video ve görüntüleri işleyen AI ajanları oluşturun, Vision-Language Modelleri (e.g., LLaVA) kullanarak özetleme, arama ve doğal dil aracılığıyla içgörü çıkarma işlemlerini gerçekleştirin.\u003c\/p\u003e\u003ch3\u003eÇoklu akış AI video analitiği oluşturun\u003c\/h3\u003e\u003cp\u003eJetson Orin platformları, çoklu akış analitiği boru hatları için SD, HD ve UltraHD (8K\/4K) içerik üzerinde video çözümlemesini hızlandırmak amacıyla NVIDIA Çoklu Standart Video Dekoderini entegre etmektedir.\u003c\/p\u003e\u003cp\u003eHızlı dağıtım kaynakları, tek komutla kurulum ile üretken AI (e.g., Ollama, Llama3) ve bilgisayarla görme (e.g., YOLOv8) çalıştırmak için topluluk örnekleri aracılığıyla mevcuttur.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"543\" src=\"https:\/\/www.youtube.com\/embed\/AdpT0kwcPHo\" width=\"966\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/JetsonOrin\/Jetson_AGX_Orin_DevKit_Carrier_Board_Specification_SP-10900-001_v1.0.pdf\" target=\"_blank\"\u003eNVIDIA Jetson AGX Orin Özellikleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/JetsonOrin\/00_top_lvl_p3737_01142022.stp.zip\" target=\"_blank\"\u003eNVIDIA Jetson AGX Orin 3D dosyası\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHS KODU\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eABD HS KODU\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAB HS KODU\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"Jetson AGX Orin Developer Kit, Unusual situation occurred in aisle 324 with shelf collapse and box blocking at 3.30 PM\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Orin-Developer-Kit-INxaA.webp?v=1759847194\"\u003e\u003cp\u003eHesaplar, 3:30'da bir rafın çöktüğü 324 numaralı koridorda olağandışı bir durumla ilgili endişelidir.\u003c\/p\u003e\u003cimg alt=\"Jetson AGX Orin Developer Kit, DeepStream detects cars in real-time on Jetson AGX Orin, displaying confidence scores, FPS, performance metrics, and system logs in the terminal.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Orin-Developer-Kit-Ob29z.webp?v=1759847219\"\u003e\u003cp\u003eDeepStream uygulaması, araçları güven puanları ile tespit ediyor. Terminal, performans metriklerini, FPS ve sistem günlüklerini gösteriyor. Jetson AGX Orin Geliştirici Kiti, video akışını gerçek zamanlı olarak işliyor.\u003c\/p\u003e\u003cimg alt=\"Jetson AGX Orin Developer Kit with AI tools and applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Orin-Developer-Kit-V8M3U.webp?v=1759847239\"\u003e\u003cp\u003eJetson AGX Orin Geliştirici Kiti, AI araçları ve uygulamaları ile birlikte.\u003c\/p\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg alt=\"Jetson AGX Orin Developer Kit, Documents detailing NVIDIA Jetson AGX Orin specification and ECCN\/HTS codes for international trade compliance.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Orin-Developer-Kit-fROPn.png?v=1759847258\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKCA.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47839159582944,"sku":"102110842","price":4399.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/102110842.png?v=1759846557"},{"product_id":"recomputer-super-j3011-advanced-edge-ai-computer-with-nvidia-jetson-orin-nano-8gb","title":"reComputer Super J3011 Edge AI Bilgisayarı, NVIDIA Jetson Orin Nano 8GB, 67 TOPS, 4x USB 3.2, 2x GbE, JetPack 6.2","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003e Super J3011, NVIDIA Jetson Orin Nano 8GB modülüne dayanan bir Edge AI Bilgisayarıdır. MAXN Süper modda 67 TOPS'a kadar performans sunar ve -20℃ ile 65℃ arasındaki ortamlarda çalışır. Hızlı geliştirme ve dağıtım için tasarlanmış olup, Wi‑Fi\/Bluetooth\/LTE genişletmesi (M.2 Key E ve mini‑PCIe aracılığıyla) ve çift Gigabit Ethernet ile entegre edilmiştir ve 128GB NVMe SSD üzerinde JetPack 6.2 ile önceden yüklenmiştir. Video analizi, çok modlu algılama, robotik ve diğer zorlu edge AI iş yükleri için uygundur.\u003c\/p\u003e\u003ch2\u003eÖnemli Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSüper Hızlandırılmış AI performansı: görsel AI, robotik ve üretken AI için 67 TOPS'a kadar (MAXN Süper Modu).\u003c\/li\u003e\n\u003cli\u003eYapılandırılabilir güç modları: 10W'dan 25W'a kadar (görüntü rehberliği), 7W \/ 15W \/ 25W modül güç profilleri mevcuttur.\u003c\/li\u003e\n\u003cli\u003eSağlam termal aralık: -20°C ile 65°C arasında güvenilir çalışma.\u003c\/li\u003e\n\u003cli\u003eZengin arayüzler: 2x RJ45 GbE (1Gbps), SIM kart yuvası, 4× USB 3.2 Type‑A (5Gbps), 1× USB 2.0 Type‑C (Cihaz\/Hata Ayıklama), 1× HDMI 2.1, 1× CAN (4‑Pin), 4× MIPI CSI (2‑şerit 15‑Pin), M.2 Anahtar E (Wi‑Fi\/BT), M.2 Anahtar M (NVMe), mini‑PCIe (LTE 4G), 4× anten delikleri, 40‑Pin genişletme başlığı, 12‑Pin kontrol \u0026amp; UART başlığı, RTC soketi ve 2‑pin başlık, 5V ve 12V PWM fan konektörleri.\u003c\/li\u003e\n\u003cli\u003eDağıtım için hazır: JetPack 6.2 önceden yüklenmiş ve 128GB NVMe SSD dahil; NVIDIA Isaac, Hugging Face ve ROS2\/1'i destekler.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eUygulama İşlemcisi (AP)\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Orin™ Nano 8GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performansı\u003c\/td\u003e\n\u003ctd\u003e67 TOPS (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e32 Tensor Core ile 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Maks Frekansı\u003c\/td\u003e\n\u003ctd\u003e1020 MHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm® Cortex®‑A78AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Maks Frekansı\u003c\/td\u003e\n\u003ctd\u003e1.7 GHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e8GB 128‑bit LPDDR5 (68GB\/s'ye kadar; 102 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül Güç Profilleri\u003c\/td\u003e\n\u003ctd\u003e7W - 15W - 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Kodlama\u003c\/td\u003e\n\u003ctd\u003e1‑2 CPU çekirdeği tarafından desteklenen 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Dekodlama\u003c\/td\u003e\n\u003ctd\u003e1× 4K60 (H.265); 2× 4K30 (H.265); 5× 1080p60 (H.265); 11× 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCSI Kamera\u003c\/td\u003e\n\u003ctd\u003e4 adede kadar kamera (sanal kanallar üzerinden 8***); 8-yol MIPI CSI‑2; D‑PHY 2.1 (20Gbps'ye kadar)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül Mekanik\u003c\/td\u003e\n\u003ctd\u003e69.6mm × 45mm; 260-pin SO‑DIMM konektörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd\u003e1× M.2 Anahtar M PCIe (M.2 NVMe 2280 SSD 128G dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ Genişletme\u003c\/td\u003e\n\u003ctd\u003e1× M.2 Anahtar E (Wi‑Fi\/Bluetooth); 1× mini‑PCIe (LTE 4G)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e2× RJ45 Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eG\/Ç – USB\u003c\/td\u003e\n\u003ctd\u003e4× USB 3.2 Tip‑A (5Gbps); 1× USB 2.0 Tip‑C (Cihaz Modu\/Hata Ayıklama)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eG\/Ç – Kamera\u003c\/td\u003e\n\u003ctd\u003e4× MIPI CSI (2‑şerit 15‑Pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eG\/Ç – CAN\u003c\/td\u003e\n\u003ctd\u003e1× CAN (4‑Pin Header)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEkran\u003c\/td\u003e\n\u003ctd\u003e1× HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan\u003c\/td\u003e\n\u003ctd\u003e1× 4‑Pin 1.25mm (5V PWM); 1× 4‑Pin 2.54mm (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUzatma\u003c\/td\u003e\n\u003ctd\u003e1× 40-Pin uzatma başlığı; 1× 12-Pin kontrol ve UART başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1× RTC 2-Pin; 1× RTC Soketi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED\u003c\/td\u003e\n\u003ctd\u003e2× LED (PWR ve ACT)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDüğmeler\/anahtar\u003c\/td\u003e\n\u003ctd\u003e1× PWR; 1× RESET; 1× REC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAnten\u003c\/td\u003e\n\u003ctd\u003e4× Anten Deliği\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Girişi\u003c\/td\u003e\n\u003ctd\u003e12-19V 5525 Barrel DC Jack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetPack Versiyonu\u003c\/td\u003e\n\u003ctd\u003eJetPack 6.2 (önceden yüklenmiş)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSistem Boyutları (G×D×Y)\u003c\/td\u003e\n\u003ctd\u003e130mm × 120mm × 66mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğırlık\u003c\/td\u003e\n\u003ctd\u003e1110g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKurulum\u003c\/td\u003e\n\u003ctd\u003eMasa, Duvara montaj\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma Sıcaklığı\u003c\/td\u003e\n\u003ctd\u003e‑20℃~65℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGaranti\u003c\/td\u003e\n\u003ctd\u003e2 Yıl\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBelgelendirme\u003c\/td\u003e\n\u003ctd\u003eRoHS, REACH, CE, FCC, UKCA, KC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eJetson modüllerinin Süper Mod ile performansı\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eGeliştirilmiş güç yönetimi\u003c\/li\u003e\n\u003cli\u003eDaha yüksek kare hızı işleme iyileştirmesi\u003c\/li\u003e\n\u003cli\u003eAzaltılmış çıkarım süresi\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eModül karşılaştırması (referans)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003ereComputer Super J3010\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003ereComputer Super J3011\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAP\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Orin™ Nano 4GB\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Orin™ Nano 8GB\u003c\/td\u003e\n\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e\n\u003ctd\u003e34 TOPS (MAXN_SUPER)\u003c\/td\u003e\n\u003ctd\u003e67 TOPS (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e512 çekirdekli Ampere GPU, 16 Tensor Çekirdeği\u003c\/td\u003e\n\u003ctd\u003e1024 çekirdekli Ampere GPU, 32 Tensor Çekirdeği\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Maksimum Frekansı\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1020 MHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e6 çekirdekli Arm® Cortex®‑A78AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Maksimum Frekansı\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1.7 GHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e4GB LPDDR5 64‑bit (34GB\/s'ye kadar; 51 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003ctd\u003e8GB LPDDR5 128‑bit (68GB\/s'ye kadar; 102 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Profilleri\u003c\/td\u003e\n\u003ctd\u003e7W - 10W - 25W\u003c\/td\u003e\n\u003ctd\u003e7W - 15W - 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003ch3\u003eDış I\/O (arka panel)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eDIP anahtarı (REC)\u003c\/li\u003e\n\u003cli\u003eUSB Type‑C 2.0 (Cihaz\/Hata Ayıklama)\u003c\/li\u003e\n\u003cli\u003eHDMI 2.1\u003c\/li\u003e\n\u003cli\u003e4× USB 3.2 Type‑A\u003c\/li\u003e\n\u003cli\u003e2× delik butonları (e.g., PWR\/RESET)\u003c\/li\u003e\n\u003cli\u003e2× LED göstergeleri (ACT, PWR)\u003c\/li\u003e\n\u003cli\u003eSIM kart yuvası\u003c\/li\u003e\n\u003cli\u003e2× RJ45 Ethernet portları\u003c\/li\u003e\n\u003cli\u003e5525 Barrel DC jak (12‑19V)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eİç bağlantılar\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e4-Pin fan konektörü (5V PWM)\u003c\/li\u003e\n\u003cli\u003e4-Pin fan konektörü (12V PWM)\u003c\/li\u003e\n\u003cli\u003e40-Pin genişletme başlığı\u003c\/li\u003e\n\u003cli\u003eCAN başlığı\u003c\/li\u003e\n\u003cli\u003e12-Pin kontrol ve UART başlığı\u003c\/li\u003e\n\u003cli\u003e4× 15-Pin MIPI CSI\u003c\/li\u003e\n\u003cli\u003eRTC pil soketi (CR1220) ve RTC 2-Pin başlığı (3V)\u003c\/li\u003e\n\u003cli\u003eM.2 Anahtar E yuvası; mini-PCIe yuvası; M.2 Anahtar M yuvası (SSD ile)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003eEdge AI bilgisayarı\u003c\/a\u003e Jetson Platform Hizmetleri kullanarak görsel (e.g., BEV algılama ile 4 USB kameralar)\u003c\/li\u003e\n\u003cli\u003eOtonom mobil robotlar (AMR), akıllı perakende, endüstriyel otomasyon\u003c\/li\u003e\n\u003cli\u003eVideo gözetimi ve akıllı video analitiği\u003c\/li\u003e\n\u003cli\u003eHızlı başlangıç örnek projeleri: üretken AI (Ollama, Llama3), bilgisayarla görme (YOLOv8) ve daha fazlası için tek satırlık dağıtım \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\" rel=\"noopener\" target=\"_blank\"\u003eJetson‑örneği\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_super_user_manual.pdf\" rel=\"noopener\" target=\"_blank\"\u003eKullanıcı Kılavuzu \u0026ve Veri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Super_Temperature_Test_Report.pdf\" rel=\"noopener\" target=\"_blank\"\u003eSıcaklık Test Raporu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Super%20J401_v1.0_SCH_PDF_250401.pdf\" rel=\"noopener\" target=\"_blank\"\u003eŞematik\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Super%20J401.stp\" rel=\"noopener\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Mechanical_reComputer_Super.dxf\" rel=\"noopener\" target=\"_blank\"\u003eMekanik Belge – reComputer Super\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Mechanical_reComputer_Super_PCBA.dxf\" rel=\"noopener\" target=\"_blank\"\u003eMekanik Belge – reComputer Super PCBA\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" rel=\"noopener\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Başarı Durumları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" rel=\"noopener\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eABHS KODU\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson Orin™ NX 16GB\/NX 8GB \/ Nano 8GB \/ Nano 4GB modülü × 1 (konfigürasyona göre varyant)\u003c\/li\u003e\n\u003cli\u003eSeeed Taşıyıcı Kart (reComputer Super J401) × 1\u003c\/li\u003e\n\u003cli\u003e128GB NVMe SSD × 1\u003c\/li\u003e\n\u003cli\u003eAlüminyum Kasa ve Fanlı Soğutucu × 1\u003c\/li\u003e\n\u003cli\u003eUSB Kablosu; Tip‑A'dan Tip‑C'ye × 1\u003c\/li\u003e\n\u003cli\u003eKullanım Kılavuzu × 1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"reComputer J3011 AI Computer, Jetson Orin Nano 8GB offers 67 TOPS AI performance, 1.7x faster, power-efficient (10W–25W), open-source, wide temperature range, ideal for robotics, generative AI, and smart transportation.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-J3011-AI-Computer-XrOZA.webp?v=1759911959\"\u003e\u003cp\u003eJetson Orin Nano 8GB, 67 TOPS AI performansı sunar, 1.7 kat daha hızlı, 10W–25W aralığında enerji verimli, açık kaynak donanım, geniş sıcaklık desteği, robotik, üretken yapay zeka ve akıllı ulaşım için idealdir. \u003c\/p\u003e\u003cimg alt=\"reComputer J3011 AI Computer, The Jetson Commercial Module ORIN NANO features 512 CUDA Cores, with up to 1024 cores and performance up to 40 TOPS.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-J3011-AI-Computer-nMXGT.webp?v=1759912030\"\u003e\u003cp\u003eJetson Ticari Modülleri, Süper Mod ile performans sunar. ORIN NANO, 512 CUDA Çekirdeği, 16 Tensor Çekirdeği ve 918 MHz'lik bir tepe frekansına sahiptir. GPU Perf, seyrek işlemler için 117 TOPS'a kadar performans sunar. Yoğun INT8 işlemleri için 20 TOPS'a ulaşır. CPU hızı 15 GHz ile 2.0 GHz arasında değişir. DLA Perf, 167 VB'ye kadar ulaşır. Modüller, 34 GBIs ve 102 GBIg dahil olmak üzere çeşitli DRAM bant genişliği seçeneklerine sahiptir. Boyutlar 70*45 mm ve 260 pin ile birlikte gelir. Modül güç tüketimi 25w veya 40w'dır. \u003c\/p\u003e\u003cimg alt=\"The ReComputer J3011 AI Computer has a 3DIP switch, USB ports, SIM card slot, button controls, and an RJ45 Ethernet port.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-J3011-AI-Computer-uqPGH.webp?v=1759912075\"\u003e\u003cp\u003e3DIO Kart Okuyucu, 4x Tip A USB 3.2, SIM Kart Yuvası, Tip C USB 2.0, Pinhole Düğmesi, RJ45 Ethernet Portu, HDMI, LED Göstergesi, DC Jack. \u003c\/p\u003e\u003cimg alt=\"reComputer J3011 AI Computer, Nvidia Jetson Orin module extension board features 4-pin fan connectors for PWM control\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-J3011-AI-Computer-0npye.webp?v=1759912110\"\u003e\u003cp\u003e\u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNvidia Jetson\u003c\/a\u003e Orin Modül Genişletme Kartı, üst kısımda SV ve I2C PWM kontrolü için 4 pinli bir fan konektörüne sahiptir.\u003c\/p\u003e\u003cimg alt=\"reComputer J3011 AI Computer, Bottom view of reComputer J3011 showing connectors: 40-pin header, CAN, UART, MIPI CSI, RTC battery, M.2 Key E\/M, Mini PCIe, and power headers.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-J3011-AI-Computer-dv1k3.webp?v=1759912145\"\u003e\u003cp\u003ereComputer J3011 AI Bilgisayarın alt görünümü, 40-Pin Uzatma Başlığı, CAN Başlığı, UART başlığı, MIPI CSI, RTC pil soketi, M.2 Anahtar E ve M yuvaları, Mini PCIe Yuvası ve güç başlıkları dahil olmak üzere çeşitli konektörler ve yuvalar içermektedir.\u003c\/p\u003e\u003cimg alt=\"The ReComputer J3011 AI Computer features a comprehensive ecosystem for AI, including apps, services, and frameworks.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-J3011-AI-Computer-Zq0gO.webp?v=1759912217\"\u003e\u003cp\u003eEcosystem Uygulamaları \u0026ve Hizmetler Referansı: Al İş Akışları, Üretken AI, NVR Destekli Uyarılar, Perceptor Manipülatörü, Al Çerçeveleri. Cloud Metropolis, Isaac Holoscan, Referans IoT Sunucusu, Mobil Ul Al Yığını, Jetson Platform Hizmetleri. 50+ Önceden Eğitilmiş Modeller, VIT, LLM, DeepStream Al, DL Çerçeveleri, LLM Çerçeveleri, Al Analitiği, Algılama Omniverse, CUDA, CUDNN, CUDLA, TensorRT, Triton. Isaac Sim, Sıfır Atış Görüş, Dil Tespiti, Çıkarım Modelleri, Çıkarım Haritalaması.\u003c\/p\u003e\u003cimg alt=\"reComputer J3011 AI Computer, The reComputer Super J3011 is an Edge AI Computer based on the NVIDIA Jetson Orin Nano 8GB module.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-J3011-AI-Computer-7I2jU.webp?v=1759912241\"\u003e\u003cimg alt=\"reComputer J3011 AI Computer, AI system running Llama3, Ollama, LLaVA, and Stable Diffusion WebUI for advanced language, vision, and image generation tasks.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-J3011-AI-Computer-1pIJQ.webp?v=1759912273\"\u003e\u003cp\u003eLlama3, ollama, LLaVA ve Stable Diffusion Webui ile AI bilgisayarı.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47840947798240,"sku":"114110312","price":1059.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/6-114110311-recomputer-super-j3010_3.jpg?v=1759911518"},{"product_id":"recomputer-j3011-edge-ai-computer-with-nvidia-jetson-orin-nano-8gb-support-super-mode","title":"reComputer J3011 Edge AI Bilgisayarı, NVIDIA Jetson Orin Nano 8GB, 128GB SSD, 4x USB 3.2, HDMI 2.1, GbE, Süper Mod JP6.2","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer J3011, NVIDIA Jetson Orin Nano 8GB SoM üzerine inşa edilmiş bir \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003eEdge AI Bilgisayarı\u003c\/a\u003e'dır. 128GB NVMe SSD üzerinde JetPack 5.1.1 (orijinal JP5.1.3 de referans alınmıştır) ile önceden yüklenmiş olarak gelir ve zengin I\/O sunar: 4x USB 3.2, HDMI 2.1, RJ-45 GbE, 2x CSI, CAN, 40-pin başlık üzerinden GPIO, RTC, ayrıca Wi‑Fi\/Bluetooth için M.2 Anahtar E ve SSD için M.2 Anahtar M. Kompakt kasa, masa ve duvara montajı destekler ve -10℃ ile 60℃ arasında çalışır.\u003c\/p\u003e\u003cp\u003eJetPack 6.2 “Süper Mod”a kendiliğinden yükseltme ile, AI performansı 40 TOPS (INT8 Sparse) 'dan 67 TOPS (INT8 Sparse) 'a çıkarak, NVIDIA Jetson Orin Nano Süper Geliştirici Kiti ile karşılaştırılabilir yetenekler sunar. Dağıtımları ölçeklendirmeye yardımcı olmak için Allxon ve Balena tarafından desteklenen OTA ve uzaktan yönetim hizmetleri mevcuttur.\u003c\/p\u003e\u003ch2\u003eTemel Özellikler\u003c\/h2\u003e\u003ch3\u003ePerformans\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Ampere mimarisi GPU: 1.024 CUDA çekirdeği, 32 Tensor Çekirdeği\u003c\/li\u003e\n\u003cli\u003eYapay Zeka performansı: 40 INT8 TOPS (Seyrek) \/ 20 INT8 TOPS (Yoğun); Süper Mod: 67 TOPS (Seyrek) \/ 33 TOPS (Yoğun)\u003c\/li\u003e\n\u003cli\u003eCPU: 6 çekirdekli Arm Cortex-A78AE v8.2 64-bit\u003c\/li\u003e\n\u003cli\u003eHafıza: 8GB 128-bit LPDDR5 (68 GB\/s); Süper Mod hafıza bant genişliği: 102 GB\/s\u003c\/li\u003e\n\u003cli\u003eModül gücü: 7W | 15W (orijinal); 10W | 15W | 25W (Süper Mod)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eBağlantı ve G\/Ç\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e4x USB 3.2 Type-A (10Gbps); 1x USB2.0 Type-C (Cihaz Modu)\u003c\/li\u003e\n\u003cli\u003e1x HDMI 2.1 görüntü çıkışı\u003c\/li\u003e\n\u003cli\u003e1x RJ-45 Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003e2x CSI kamera arayüzleri (2-yol, 15-pin)\u003c\/li\u003e\n\u003cli\u003eM.2 Anahtar E (önceden yüklenmiş 1x Wi‑Fi\/Bluetooth kombinasyon modülü)\u003c\/li\u003e\n\u003cli\u003eM.2 Anahtar M için NVMe SSD (128G dahil)\u003c\/li\u003e\n\u003cli\u003e1x CAN; 1x 40-pin Genişletme başlığı; 1x 12-pin Kontrol \u0026amp; UART başlığı\u003c\/li\u003e\n\u003cli\u003e1x RTC 2-pin (CR1220 destekler, pil dahil değildir)\u003c\/li\u003e\n\u003cli\u003e1x 4-pin Fan konektörü (5V PWM)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eMekanik ve Güç\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eBoyutlar (kasa ile birlikte): 130mm x 120mm x 58.5mm\u003c\/li\u003e\n\u003cli\u003eGüç girişi: 9–19V DC; 12V\/5A güç adaptörü dahil\u003c\/li\u003e\n\u003cli\u003eKurulum: Masa veya duvara montaj\u003c\/li\u003e\n\u003cli\u003eÇalışma sıcaklığı: -10℃ ile 60℃\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eVideo Yetenekleri\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eVideo kodlayıcı: 1080p30, 1–2 CPU çekirdeği tarafından desteklenir\u003c\/li\u003e\n\u003cli\u003eVideo dekoder: 1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eNotlar\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eSuper Modu etkinleştirmek ve AI performansını 40 TOPS'tan 67 TOPS'a artırmak için JetPack 6.2'ye yükseltin.\u003c\/li\u003e\u003cli\u003eÖnerilen SSD'ler: 128GB \/ 256GB \/ 512GB \/ 1TB Seeed'den; bazı piyasa SSD'leri yalnızca belirli JetPack sürümleriyle çalışabilir.\u003c\/li\u003e\n\u003cli\u003eGüç adaptörü olmadan mevcut versiyon: \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-J3011-w-o-power-adapter-p-5630.html\" rel=\"noopener\" target=\"_blank\"\u003egüç adaptörü olmadan reComputer J3011\u003c\/a\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSoM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin Nano 8GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1,024 çekirdekli NVIDIA Ampere mimarisi, 32 Tensor Çekirdeği; 635 MHz (orijinal) \/ 1,020MHz (Süper Mod)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm Cortex-A78AE v8.2 64-bit; 1.5 GHz (orijinal) \/ 1.7 GHz (Süper Mod); 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 68 GB\/s (orijinal) \/ 102 GB\/s (Süper Mod)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYapay Zeka Performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e40 INT8 TOPS (Seyrek), 20 INT8 TOPS (Yoğun); Süper Mod: 67 TOPS (Seyrek), 33 TOPS (Yoğun)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModül Gücü\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7W | 15W (orijinal) \/ 10W | 15W | 25W (Süper Mod)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M PCIe (M.2 NVMe 2280 SSD 128G dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 Gigabit Ethernet (10\/100\/1000M); 1x M.2 Anahtar E (önceden yüklenmiş Wi‑Fi\/Bluetooth modülü)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.2 Tip-A (10Gbps); 1x USB2.0 Tip-C (Cihaz Modu)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2-yol, 15-pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4-pin Fan konektörü (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x CAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGenişletme\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40-pin Genişletme başlığı; 1x 12-pin Kontrol \u0026amp; UART başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRTC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2-pin (CR1220 destekler, dahil değildir)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e9–19V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMekanik\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130mm x 120mm x 58.5mm (kasa ile); Masa veya duvara montaj\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-10℃~60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGaranti\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 Yıl\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-J401-Carrier-Board-for-Jetson-Orin-NX-Orin-Nano-p-5636.html\" rel=\"noopener\" target=\"_blank\"\u003ereComputer J401 taşıyıcı kartı\u003c\/a\u003e tam sistem reComputer J3011 içinde yer almaktadır.\u003c\/p\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ereComputer J3011 (sistem yüklü) x1\u003c\/li\u003e\n\u003cli\u003e12V\/5A (Barrel Jack 5.5\/2.5mm) Güç Adaptörü (güç kablosu dahil değildir) x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eNot:\u003c\/strong\u003e Ürün bir güç adaptörü içermektedir ancak AC üçgen güç kablosu yoktur. Lütfen bölgeniz için uygun bir kablo satın alınız: \u003ca href=\"https:\/\/www.seeedstudio.com\/AC-US-p-5122.html\" rel=\"noopener\" target=\"_blank\"\u003eABD\u003c\/a\u003e veya \u003ca href=\"https:\/\/www.seeedstudio.com\/AC-EU-p-5121.html\" rel=\"noopener\" target=\"_blank\"\u003eAB\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAI Video Analitiği\u003c\/li\u003e\n\u003cli\u003eMakine Görüşü\u003c\/li\u003e\n\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003cli\u003eÜretken AI\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eÇoklu akış AI Video Analitiği\u003c\/h3\u003e\u003cp\u003eJetson Orin Nano, NVIDIA Çok Standartlı Video Decoder'ı entegre eder. \u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003ereComputer\u003c\/a\u003e J3011, \u003cstrong\u003e13x1080p30\u003c\/strong\u003e akış alabilir. Test edilen \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv8-DeepStream-TRT-Jetson\/#multistream-model-benchmarks\" rel=\"noopener\" target=\"_blank\"\u003eYOLOv8 performansını NVIDIA DeepStream ile görün\u003c\/a\u003e.\u003c\/p\u003e\u003ch3\u003eÜretken AI ve Bilgisayarla Görme Teknolojisini Hızla Yayınlayın\u003c\/h3\u003e\u003cp\u003eSeeed, \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\" rel=\"noopener\" target=\"_blank\"\u003ejetson-examples\u003c\/a\u003e ile Ollama, Llama3, LLaVA, YOLOv8 ve daha fazlasını içeren kenar AI projelerinin tek satırlık dağıtımı için hizmet vermektedir. Ortamlar, tek komutla dağıtım için önceden yapılandırılmıştır.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"543\" src=\"https:\/\/www.youtube.com\/embed\/AdpT0kwcPHo\" width=\"966\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J301x-datasheet.pdf\" target=\"_blank\"\u003ereComputer J301x Veri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNVIDIA Jetson Cihazları ve taşıyıcı kartlar karşılaştırmaları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/J401\/reComputer_J401_SCH_V1.0.pdf\" target=\"_blank\"\u003ereComputer J401 şematik tasarım dosyası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-J4012\/reComputer-J4012.stp\" target=\"_blank\"\u003ereComputer J3011 3D dosyası\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8471419000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEUHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCOO\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"J3011 Edge AI Computer, Jetson Orin Nano 8GB offers 40–67 TOPS AI, compact design, open-source hardware, supports robotics, generative AI, computer vision, wide temp range, and multiple I\/Os.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3011-edge-ai-computer-zLVWO.webp?v=1759914879\"\u003e\u003cp\u003eJetson Orin Nano 8GB, 40 TOPS AI (67 TOPS'a kadar), kompakt, enerji verimli, açık kaynak donanım. Robotik, üretken AI ve bilgisayarla görme desteği ile geniş sıcaklık aralığı ve çoklu I\/O'lar sunar.\u003c\/p\u003e\u003cimg alt=\"The J3011 Edge AI Computer has various features including control headers, camera, expansion headers, USB3.2 ports, HDMI, Ethernet, power jack, LED light, and RTC socket.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3011-edge-ai-computer-z0FBm.webp?v=1759914924\"\u003e\u003cp\u003eBu kart, bir Kontrol ve UART CAN Başlığı, 2-pin Fan Başlığı ve MIPI-CSI Kamera içermektedir. Ayrıca EVRO konektörleri ve GPIO, IZC ve UART işlevleri için 40-pin Genişletme Başlığı bulunmaktadır. Kartta USB3.2 portları, Gigabit Ethernet, LED ışıklar, HDMI ve bir DC güç jakı mevcuttur.\u003c\/p\u003e\u003cimg alt=\"J3011 Edge AI Computer, Key features of a device including GPU architecture, CPU, memory, power consumption, connectivity options, and video capabilities.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011-Edge-AI-Computer-6NHXf.webp?v=1759914943\"\u003e\u003cimg alt=\"J3011 Edge AI Computer, AI and computer vision technologies including video analytics, machine vision, and autonomous mobile robots.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011-Edge-AI-Computer-vXNX2.webp?v=1759914958\"\u003e\u003cimg alt=\"J3011 Edge AI Computer, Shelf collapsed, boxes fell at 3:30 PM, blocking aisle. Camera stream displayed.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011-Edge-AI-Computer-ACvZx.webp?v=1759914974\"\u003e\u003cp\u003eRaf çöktü, kutular saat 15:30'da düştü ve geçidi kapattı. Kamera akışı görüntülendi.\u003c\/p\u003e\u003cimg alt=\"J3011 Edge AI Computer, Nvidia Deepstream car detection system runs on NVIDIA desktop with a performance of 0.73, reading vendor info from Tegra.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011-Edge-AI-Computer-2L1M6.webp?v=1759915007\"\u003e\u003cp\u003eNvidia Deepstream masaüstünde araç tanıma ile FPS, ortalama hız ve blok oluşturma gibi performans metriklerini içermektedir.\u003c\/p\u003e\u003cimg alt=\"J3011 Edge AI Computer, J3011 Edge AI supports Llama3, ollama, LLaVA, Stable Diffusion, and Whisper for advanced on-device AI processing.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011-Edge-AI-Computer-h1Ok1.webp?v=1759915029\"\u003e\u003cp\u003eJ3011 Edge AI, Llama3, ollama, LLaVA, Stable Diffusion, Whisper'ı desteklemektedir.\u003c\/p\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"J3011 Edge AI Computer, The reComputer J3011 system comes with one installed and one 12V\/5A power adapter without an AC power cord.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011-Edge-AI-Computer-fAahk.png?v=1759915047\"\u003e\u003cimg alt=\"J3011 Edge AI Computer, ReComputer J3011 without power adapter available.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011-Edge-AI-Computer-daMxG.png?v=1759915062\"\u003e\u003cimg alt=\"J3011 Edge AI Computer, Version without power adapter available for reComputer J3011.\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/ROHS.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003cimg alt=\"J3011 Edge AI Computer, AI computer with NVIDIA Jetson Orin Nano, 8GB RAM, 128GB storage, and multiple ports.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011-Edge-AI-Computer-lWCt6.png?v=1759915092\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47840980926688,"sku":"110110147","price":1059.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/row6-recomputer_j30.jpg?v=1759912455"},{"product_id":"recomputer-j1020-v2-edge-ai-computer-with-nvidia-jetson-nano-4gb","title":"reComputer J1020 v2 Edge AI Bilgisayarı, NVIDIA Jetson Nano 4GB, 0.5 TOPS, 16G eMMc, M.2 Key M, 4x USB3, HDMI \u0026 DP","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer J1020 v2, NVIDIA Jetson Nano 4GB üretim modülü üzerine inşa edilmiş bir \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003eEdge AI Bilgisayarı\u003c\/a\u003e olup, kompakt, elde taşınabilir alüminyum bir kasada 0.5 TOPS AI performansı sunmaktadır. Geliştirme için NVIDIA JetPack 4.6 ile hazır olarak gelir, üzerinde 16G eMMc bulunur ve 4x USB 3.0 Type‑A, 2x CSI kamera konektörü, HDMI, DP, RJ‑45 Gigabit Ethernet, M.2 Key M ve DC Jack 12V\/2A dahil olmak üzere zengin bir I\/O setine sahiptir. Mekanik boyutları 130mm x 120mm x 58.5mm (kasa ile birlikte)dir.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003ch3\u003eHesaplama ve yazılım\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano 4GB üretim modülü, 0.5 TOPS AI performansı.\u003c\/li\u003e\n\u003cli\u003eHızlı geliştirme ve dağıtım için önceden yüklenmiş NVIDIA JetPack 4.6; NVIDIA gömülü geliştirici araçlarını ve endüstri AI çerçevelerini destekler.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eI\/O ve genişletme\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e4x USB 3.0 Type‑A; cihaz modu için 1x Micro‑USB portu.\u003c\/li\u003e\n\u003cli\u003e2x CSI (2‑şerit 15‑pin) kamera konektörleri.\u003c\/li\u003e\u003cli\u003e1x HDMI Tip-A; 1x DP.\u003c\/li\u003e\n\u003cli\u003eM.2 Anahtar M SSD, LTE ve Bluetooth için; yerleşik RTC; Raspberry Pi GPIO 40-pin; 12-pin Kontrol ve UART başlığı; 4-pin fan konektörü (5V PWM).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eMekanik ve güç\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003ePasif soğutma ile alüminyum kasa.\u003c\/li\u003e\n\u003cli\u003eMasaya veya duvara montaj.\u003c\/li\u003e\n\u003cli\u003eDC Jack 12V\/2A üzerinden enerji verimli çalışma.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eNotlar\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eResmi NVIDIA Jetson Nano Geliştirici Kiti EOL'a ulaşmıştır. reComputer J10 tam sistemi, Jetson Nano Geliştirici Kitine önerilen bir alternatiftir.\u003c\/li\u003e\n\u003cli\u003eBazı GPIO kütüphanelerinin kullanılması, taşıyıcı kartlarda GPIO sorunlarına yol açabilecek dalgalanan voltaj (1.2V~2V) oluşturabilir. Bu, reComputer serisi ve resmi \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e geliştirici kitlerinde yaygın bir durumdur; bu sorun için satış sonrası\/garanti geçerli değildir. Detaylar için \u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/Jetson_Nano_Developer_Kit_40-Pin_Expansion_Header_GPIO_Usage_Considerations.pdf\" target=\"_blank\"\u003eNVIDIA resmi belgesine\u003c\/a\u003e bakın.\u003c\/li\u003e\u003cli\u003eGüç adaptörü olmayan versiyon için \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-J1020-v2-w-o-power-adapter-p-5608.html\" target=\"_blank\"\u003egüç adaptörü olmadan reComputer J1020 v2\u003c\/a\u003e'e bakın.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYapay Zeka Performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Nano 4GB – 0.5 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Maxwell mimarisi, 128 CUDA çekirdeği\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDört çekirdekli ARM Cortex‑A57 MPCore işlemci\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 GB 64-bit LPDDR4, 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Kodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K30 | 2x 1080p60 | 4x 1080p30 | 4x 720p60 | 9x 720p30 (H.265 \u0026amp; H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Dekodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 \u0026amp; H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M PCIe; 16G eMMc\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ‑45 Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.0 Type‑A； 1x Micro‑USB port cihaz modu için\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2‑şerit 15‑pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI Type‑A; 1x DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4‑pin Fan Bağlantısı (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGenişletme\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40‑Pin Genişletme başlığı; 1x 12‑Pin Kontrol ve UART başlığı; RTC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC Jack 12V\/2A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoyutlar (G x D x Y)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130mm x 120mm x 58.5mm (kasa ile)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKurulum\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMasada, duvara montaj\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0℃ ~ 60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÖnceden Yüklenmiş OS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA JetPack 4.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003ereComputer\u003c\/a\u003e J1020 v2 (Sistem Yüklü) x1\u003c\/li\u003e\n\u003cli\u003e12V\/2A güç adaptörü (5 değiştirilebilir adaptör fişi ile) x1\u003c\/li\u003e\n\u003cli\u003e*3V RTC pili dahil edilmeyecektir\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBilgisayarla Görme\u003c\/li\u003e\n\u003cli\u003eMakine Öğrenimi\u003c\/li\u003e\n\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKılavuzlar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/reComputer-Jetson-J1020-w_o-power-adapter-datasheet.pdf\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/reComputer%20J202_V1.0_SCH_PDF_240822.pdf\" target=\"_blank\"\u003eŞematik\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer_Jetson_j1020_v2.stp\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNvidia Jetson Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNvidia Jetson Ürün Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Başarı Hikayeleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"Jetson Nano AI Computer, The NVIDIA Jetson Nano 4GB-powered reComputer J1020 v2 offers 0.5 TOPS AI performance in a compact 130x120x58.5mm design, ideal for robotics and AI applications with HDMI, DisplayPort, USB 3.0, M.2 SSD support, and JetPack 4.6 compatibility.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Nano-AI-Computer-KQ9xG.webp?v=1759926910\"\u003e\u003cp\u003eNVIDIA Jetson Nano 4GB, reComputer J1020 v2'yi 0 ile güçlendirir.5 TOPS AI performansı sunarak Jetson Nano B01 Geliştirme Kiti'ne kompakt bir alternatif oluşturur. 130mm x 120mm x 58.5mm boyutlarında, 1x HDMI, 1x DisplayPort, 4x USB 3.0 Type-A ve cihaz modu için 1x Micro-USB bağlantı noktası ile donatılmıştır. SSD için M.2 KEY M yuvası, DC Jack (12V\/2A) içerir ve JetPack 4.6'yı destekler. Robotik, bilgisayarla görme ve AI destekli uygulamalar için ideal olan bu ürün, kullanıma hazır tasarımıyla güçlü ve alan verimli bir hesaplama sunar.\u003c\/p\u003e\u003cimg alt=\"The Jetson Nano AI Computer features various connectors including UART, CAN, MIPI-CSI camera, GPIO, I2C, audio, USB3.0, and POE Gigabit Ethernet.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Nano-AI-Computer-v92lV.webp?v=1759926948\"\u003e\u003cp\u003eÜrün özellikleri: Kontrol ve UART CAN (devre dışı), RTC için başlık, 2-pin fan başlığı, MIPI-CSI kamera konektörü, iki ooco konektörü, GPIO, I2C ve UART ile birlikte Quinno 40-pin genişletme başlığı, seeedstudio ses modülü, 260-pin SODIMM yuvası, USB3.0 portları (4x), POE gigabit Ethernet portu, DisplayPort, HDMI, LED ışık göstergesi, DC güç jakı ve USB Type-C portu.\u003c\/p\u003e\u003cimg alt=\"Jetson Nano AI Computer, Jetson Nano features M.2 KEY E (disabled), M.2 KEY M, RTC socket, power input, USB ports, and GPIO pins for AI computing and connectivity.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Nano-AI-Computer-7Yuvw.webp?v=1759926965\"\u003e\u003cp\u003eJetson Nano AI Bilgisayarı M.2 KEY E (Devre Dışı), M.2 KEY M, RTC Soketi ve çeşitli konektörler ile birlikte; etiketli bileşenler güç girişi, USB portları ve GPIO pinlerini içerir.\u003c\/p\u003eI'm sorry, but it seems that the text you provided consists of codes or identifiers that do not contain translatable content. If you have specific sentences or phrases that need translation, please provide them, and I will be happy to assist you.","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47841017135328,"sku":"110061441","price":389.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/row11-recomputer_j10.jpg?v=1759913740"},{"product_id":"recomputer-j1010-edge-ai-computer-with-nvidia-jetson-nano-4gb","title":"reComputer J1010 Edge AI Bilgisayarı, NVIDIA Jetson Nano 4GB, 0.5 TOPS, HDMI, USB, 2x CSI, M.2 Key E, GbE","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer J1010, NVIDIA Jetson Nano 4GB üretim modülü etrafında inşa edilmiş bir \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003eEdge AI Bilgisayarı\u003c\/a\u003e'dır. El boyutundaki sistem, 0.5 TOPS AI performansı, pasif soğutucuya sahip alüminyum bir kasa, önceden yüklenmiş JetPack 4.6, 16 GB eMMC ve 2x CSI kamera portları, 1x USB 3.0, 2x USB 2.0, M.2 Key E, HDMI, Gigabit Ethernet ve USB Type‑C güç girişi (5V⎓3A) gibi zengin I\/O özellikleri sunmaktadır.\u003c\/p\u003e\u003ch2\u003eÖnemli Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eKenarda çıkarım için NVIDIA Jetson Nano 4GB üretim modülü.\u003c\/li\u003e\n\u003cli\u003eAI performansı: 0.5 TOPS.\u003c\/li\u003e\n\u003cli\u003eGPU: 128 NVIDIA CUDA çekirdeği ile NVIDIA Maxwell mimarisi.\u003c\/li\u003e\n\u003cli\u003eCPU: Dört çekirdekli ARM Cortex-A57 MPCore.\u003c\/li\u003e\n\u003cli\u003eHafıza: 4 GB 64-bit LPDDR4, 25.6 GB\/s; 16 GB eMMC yerleşik.\u003c\/li\u003e\n\u003cli\u003eÖnceden yüklenmiş JetPack 4.6.\u003c\/li\u003e\n\u003cli\u003eI\/O: 1x USB 3.0 Tip A; 2x USB 2.0 Tip A; 1x USB Tip C (cihaz modu); 5V güç girişi için 1x USB Tip C.\u003c\/li\u003e\n\u003cli\u003eKamera: 2x CSI.\u003c\/li\u003e\n\u003cli\u003eEkran: 1x HDMI Tip A.\u003c\/li\u003e\u003cli\u003eAğ Bağlantısı: 1x RJ-45 Gigabit Ethernet (10\/100\/1000M).\u003c\/li\u003e\n\u003cli\u003eGenişletme: 1x M.2 Anahtar E WiFi\/Bluetooth modülü için; 1x 40-Pin Genişletme başlığı; 1x 12-Pin Kontrol ve UART başlığı.\u003c\/li\u003e\n\u003cli\u003eSoğutma\/Kontrol: 1x 4-pin Fan Bağlantısı (5V PWM).\u003c\/li\u003e\n\u003cli\u003eMekanik: 130 mm x 120 mm x 58.5 mm (kasa ile); Masa veya duvara montaj; Çalışma sıcaklığı: 0℃ ~ 60℃.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eNotlar\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eResmi \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Nano Geliştirici Kiti EOL'a ulaşmıştır. reComputer J10 tam sistemi önerilen bir yedeklemedir.\u003c\/li\u003e\n\u003cli\u003eBazı GPIO kütüphanelerinin kullanımı, dalgalanan voltaj (1.2V~2V) sorununa neden olabilir. Normal GPIO voltajı 3V olmalıdır, bu nedenle taşıyıcı kartlardaki (reComputer ve NVIDIA geliştirici kitleri dahil) sorunlar satış sonrası\/garanti kapsamında değildir. Detaylar için \u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/Jetson_Nano_Developer_Kit_40-Pin_Expansion_Header_GPIO_Usage_Considerations.pdf\" target=\"_blank\"\u003eNVIDIA resmi belgesine\u003c\/a\u003e bakınız.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eJetson Nano 4GB Modül Sistemi\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYapay Zeka Performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Nano 4GB - 0.5 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Maxwell mimarisi ile 128 NVIDIA CUDA çekirdeği\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDört çekirdekli ARM Cortex-A57 MPCore işlemci\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 GB 64-bit LPDDR4, 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYerleşik Depolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16 GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Kodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 \u0026ve H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Dekodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 \u0026ve H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eTaşıyıcı Kart\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x TF Kart\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ Bağlantısı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 ANAHTAR E\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E WiFi\/Bluetooth modülü için\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x USB 3.0 Tip A; 2x USB 2.0 Tip A; 1x USB Tip C cihaz modu için; 1x USB Tip C 5V güç girişi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI Tip A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4 pin Fan Bağlantısı (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇok Fonksiyonlu Portlar\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40-Pin Genişletme başlığı; 1x 12-Pin Kontrol ve UART başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUSB-Tip C 5V⎓3A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoyutlar (G x D x Y)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130 mm x 120 mm x 58.5 mm (kasa ile)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKurulum\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMasaya, duvara montaj\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0℃ ~ 60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\n\u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-J101-v2-Carrier-Board-for-Jetson-Nano-p-5396.html\" target=\"_blank\"\u003e\u003cstrong\u003e\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003ereComputer\u003c\/a\u003e J101 taşıyıcı kartı\u003c\/strong\u003e\u003c\/a\u003e, tam sistem - reComputer J1010 içinde yer almaktadır.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBilgisayarla Görme\u003c\/li\u003e\n\u003cli\u003eMakine Öğrenimi\u003c\/li\u003e\n\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul class=\"documents_list\"\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer-J1010-datasheet.pdf\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/reComputer%20J101_V2.0_SCH_240822.pdf\" target=\"_blank\"\u003eŞematik\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/J1010-Jetson-Nano.stp\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNvidia Jetson Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNvidia Jetson Ürün Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Başarı Örnekleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003cdiv class=\"certification\"\u003e\n\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061362-CE.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061362-EUDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061362-FCC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061362-KC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"J1010 Edge AI Computer, GPU has NVIDIA Maxwell architecture with 128 NVIDIA CUDA cores.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J1010-Edge-AI-Computer-qwpmZ.png?v=1759929254\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061362-REACH.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"J1010 Edge AI Computer, A computer with NVIDIA Jetson Nano, 4GB RAM, and various interfaces for AI applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J1010-Edge-AI-Computer-nfLyI.png?v=1759929272\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061362-ROHS.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"J1010 Edge AI Computer, The expansion includes one M.2 key E slot for WiFi\/Bluetooth, one 40-pin expansion header, and one 12-pin control and UART header.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J1010-Edge-AI-Computer-Ab9xj.png?v=1759929290\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061362-UKDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061362-UKCA.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"J1010 Edge AI Computer, A computer with an NVIDIA Jetson Nano and 4GB of memory.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j1010-edge-ai-computer-mYZ3r.png?v=1759929309\"\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHS KODU\u003c\/td\u003e\n\u003ctd\u003e8471419000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eABD HS KODU\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003eABHS KODU\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMenşei Ülke (COO)\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ereComputer J1010 (Sistem Yüklü)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003eNot: Güç kaynağı ve RTC (CR1220) dahil değildir.Lütfen gerektiği gibi ekleyin.\u003c\/td\u003e\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"J1010 Edge AI Computer, The NVIDIA ReComputer U is an Edge AI computer powered by Jetson with Al performance, featuring compact design and various interfaces.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j1010-edge-ai-computer-zmEdo.webp?v=1759929360\"\u003e\u003cp\u003eElite Partner NVIDIA reComputer U. NVIDIA Jetson Nano, robotik ve bilgisayarla görme uygulamaları için tasarlanmış yüksek performanslı bir bilgisayardır. Karmaşık AI modellerini işlemek için ideal olan 4GB Al performans belleği ile 0.5 TOPS Nano işlemciye sahiptir. Kit, bir JetPack 4.6 kartı, Ix USB 3.0 Tip A bağlantıları, M.2 KEY E, 2x USB 2.0 Tip A bağlantıları ve Wi-Fi yetenekleri içermektedir.\u003c\/p\u003e\u003cimg alt=\"The J1010 Edge AI Computer is a compact, powerful device with dual cameras, multiple ports, and versatile connectivity, ideal for AI applications in limited spaces.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j1010-edge-ai-computer-mmH1M.webp?v=1759929394\"\u003e\u003cp\u003eKompakt ve zengin özelliklere sahip J1010 Edge AI Bilgisayarı, çift CSI kamera arayüzleri, 48MHz CLK ile bir micro SD kart yuvası ve bir M.2 Key E yuvası sunmaktadır. 260-pin SO-DIMM, 40-pin ve RTC 2-pin bağlantılarını destekler. Bağlantı seçenekleri arasında Tip C güç, HDMI, USB 3.0 Tip A, iki USB 2.0 Tip A portu, Gigabit Ethernet ve yalnızca USB 2.0 Tip C portu bulunmaktadır. Verimli kenar bilişimi için küçük bir form faktöründe tasarlanmış fan başlığı, buton başlığı ve Seeed Studio markası ile donatılmıştır.AI uygulamaları için güvenilir performans ve sınırlı alanlarda çok yönlü I\/O seçenekleri gerektiren ideal bir çözümdür.\u003c\/p\u003e\u003cimg alt=\"J1010 Edge AI Computer, AI computer with NVIDIA Jetson Nano, 0.5 TOPS, HDMI, USB, camera interfaces, and networking.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j1010-edge-ai-computer-7Rjx6.webp?v=1759929422\"\u003e\u003cimg alt=\"J1010 Edge AI Computer, The NVIDIA Jetson Nano is a 4GB production module for edge inference.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j1010-edge-ai-computer-tdWp6.webp?v=1759929439\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"J1010 Edge AI Computer, AI computer with NVIDIA Jetson Nano, 4GB memory, and various interfaces for AI development and deployment.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j1010-edge-ai-computer-wz63i.png?v=1759929465\"\u003e\u003cimg alt=\"J1010 Edge AI Computer, Edge AI computer with NVIDIA Jetson Nano and various ports.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J1010-Edge-AI-Computer-8qHiU.png?v=1759929481\"\u003e\u003cimg alt=\"J1010 Edge AI Computer, AI computer with NVIDIA Jetson Nano, 4GB RAM, 0.5 TOPS processing power, and multiple interfaces for connectivity.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j1010-edge-ai-computer-WdBvl.png?v=1759929499\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003cimg alt=\"J1010 Edge AI Computer, AI computer with NVIDIA Jetson Nano, 4GB RAM, 0.5 Tera Operations Per Second, and multiple ports for connectivity.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J1010-Edge-AI-Computer-WdgDy.png?v=1759929519\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47841230553312,"sku":"110061362","price":309.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1-110061362-recomputer-j1010_2.png?v=1759926803"},{"product_id":"recomputer-j4011b-edge-ai-computer-with-nvidia-jetson-orin-nx-8gb-super-mode-not-supported","title":"reComputer J4011B Edge AI Bilgisayarı, NVIDIA Jetson Orin NX 8GB, 128GB NVMe, USB3.2, HDMI, GbE (Süper Mod Desteklenmez)","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer J4011B, \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003eEdge AI Bilgisayarı\u003c\/a\u003e olarak \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin NX 8GB modülü üzerine inşa edilmiştir. Geliştirme ve dağıtım için 2x USB 3.2, HDMI, Gigabit Ethernet, Wi‑Fi modülü için M.2 Key E, SSD için M.2 Key M, LTE modülü için mini‑PCIe, CAN ve 40-pin başlık dahil olmak üzere zengin I\/O ile kompakt boyutu birleştirir. Önceden yüklenmiş 128GB NVMe SSD ve JetPack 5.1.3 (Linux OS BSP hazır) ile birlikte gelir. Not: Süper Mod Desteği YOK.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eGüçlü bir gömülü AI platformu oluşturun: Jetson Orin NX modülleri ile uyumlu, 100 TOPS'a kadar sunar.\u003c\/li\u003e\n\u003cli\u003eGeniş I\/O ile geliştirme ve üretim için tasarlanmıştır: 2x USB 3.2, HDMI, Ethernet, M.2 Key M, M.2 Key E, mini‑PCIe, 40-pin GPIO ve CAN.\u003c\/li\u003e\n\u003cli\u003eWi‑Fi ve LTE dahil olmak üzere birden fazla kablolu ve kablosuz iletişimi destekler (modüller ek satın alma gerektirir).\u003c\/li\u003e\n\u003cli\u003eHızla pazara çıkmak için önceden yüklenmiş JetPack 5.1.3, Linux OS BSP hazır.\u003c\/li\u003e\u003cli\u003eUyumluluk: RoHS, CE, FCC, KC, UKCA, REACH; üretim ömrü en az 2032 yılına kadar.\u003c\/li\u003e\n\u003cli\u003eDonanım diyagramından: 2x MIPI‑CSI (2‑şerit 15‑pin) kamera konektörleri, Kontrol \u0026amp; UART başlığı, fan başlığı (5V PWM), 40‑pin genişletme başlığı (GPIO\/I2C\/UART), 260‑pin SODIMM, USB Type‑C (Cihaz Modu), güç LED'i, DC 9–19V 5525 jak, SIM kart yuvası (LTE için) ve isteğe bağlı PoE geri güç başlığı.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÜrün Serisi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ereComputer J4011B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModül\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Orin NX 8GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYapay Zeka Performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e70 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16 Tensor Core ile 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Maksimum Frekansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e765 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm® Cortex®-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU Maksimum Frekansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 102.4 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDL Hızlandırıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x NVDLA v2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDLA Maks Frekansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e614 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGörüş Hızlandırıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x PVA v2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eönceden yüklenmiş 128GB NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Kodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 (H.265) | 3x 4K30 (H.265) | 6x 1080p60 (H.265) | 12x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Dekodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 (H.265) | 2x 4K60 (H.265) | 4x 4K30 (H.265) | 9x 1080p60 (H.265) | 18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eArayüzler\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCSI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2-yol 15pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ Bağlantısı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.2 Type-A (10Gbps); 1x USB2.0 Type-C (Cihaz Modu)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 Anahtar M\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M için SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 Anahtar E\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E için Wi‑Fi modülü*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003emini-PCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x mini-PCIe LTE modülü için*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x JST 4pin Fan Bağlantısı (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x CAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇok Fonksiyonlu Port\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40-Pin Genişletme başlığı; 1x 12-Pin Kontrol ve UART başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRTC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRTC 2-pin; RTC soketi (CR1220* destekler)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç Kaynağı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC 9-19V 5525 DC jakı üzerinden\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eStandartlar\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBelgelendirme\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCE, FCC, KC, TELEC; UKCA, REACH, RoHS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOrtam Koşulları\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-10~60 °C\u003c\/td\u003e\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eDiğerleri\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoyut\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130mm x120mm x 58.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğırlık\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e451.9g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGaranti\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 yıl\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÜretim Süresi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2032'ye kadar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAçıklama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e* ile işaretlenmiş seçenekler ek satın alma gerektirir\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003cp\u003e\u003cimg alt=\"J4011B Edge AI Computer, reComputer J4011B hardware overview\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j4011b-edge-ai-computer-ON16T.png?v=1759934242\"\u003e\u003c\/p\u003e\u003ch2\u003eUygulama\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAkıllı Sokak Lambası:\u003c\/strong\u003e sensörlerle trafiği izleyin ve daha iyi trafik kontrolü için verileri iletin. Güneş enerjisini entegre edin, gece kullanımı için enerji depolayın ve fazla enerjiyi şebekeye verebilir.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEV Pil Değiştirme\/Şarj Sistemi:\u003c\/strong\u003e akıllı şebekeye bağlı şarj istasyonları şarj sürelerini optimize eder; pil değiştirme, elektrikli araç menzil kaygısını hafifletir.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eAkıllı Geri Dönüşüm Merkezi:\u003c\/strong\u003e kutulardaki sensörler atık toplama seferlerini azaltır; ekipman, yoğun olmayan saatlerde çalışır; geri dönüştürülmüş malzemeler akıllı şebeke ve elektrikli araç bileşenleri için kullanılabilir.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer_J401B_datasheet_v1.pdf\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer_J401B_CarrierBoard_SCH_V1.0.pdf\" target=\"_blank\"\u003eTaşıyıcı Kart Şeması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer_J4011B_LTE_SCH_V1.0.pdf\" target=\"_blank\"\u003eLTE Kart Şemaları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNVIDIA Jetson Ürün Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Başarı Örnekleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEUHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCOO\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eParça Listesi\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Jetson Orin™ modülü\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed taşıyıcı kart (\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003ereComputer\u003c\/a\u003e J401B）\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e128GB NVMe SSD\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFanlı alüminyum soğutucu\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSiyah alüminyum kasa\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Adaptörü (12V\/5A)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"J4011B Edge AI Computer, This computer features various headers for connectivity and expansion, including M2 KEY E CAN, GPIO, I2C, UART, MIPI-CSI camera connectors, SODIMM slots, PoE backpower, and more.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j4011b-edge-ai-computer-JFW1G.webp?v=1759934301\"\u003e\u003cp\u003eKontrol ve UART Başlığı, M.2 Anahtar E, CAN Başlığı, RTC 2-pin Soket, Fan Başlığı LO-pin Genişletme Başlığı ile GPIO, I2C ve UART. MIPI-CSI Kamera Bağlantıları (2x), 260-Pin SODIMM, M.2 Anahtar M. Opsiyonel PoE Geri Güç Başlığı, Güç LED'i, DC Güç Jack'i, USB Type-C, HDMI ve USB 3.2 Portları (2x). SIM Kart Yuvası, LTE Modülü için Mini-PCIE ve Gigabit Ethernet Portu.\u003c\/p\u003e\u003cimg alt=\"J4011B Edge AI Computer, Smart lamppost with cameras, sensors, and LED display\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j4011b-edge-ai-computer-3mRT0.webp?v=1759934329\"\u003e\u003cp\u003eKameralar, sensörler ve LED ekran ile akıllı aydınlatma direği\u003c\/p\u003e\u003cimg alt=\"J4011B Edge AI Computer, Combines compact size with rich I\/O features including USB, HDMI, Ethernet, Wi-Fi, SSD, LTE, and more.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j4011b-edge-ai-computer-ADkWP.webp?v=1759934348\"\u003e\u003cimg alt=\"J4011B Edge AI Computer, Build a powerful embedded AI platform for Jetson Orin NX modules, offering up to 100 TOPS.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j4011b-edge-ai-computer-a0dbc.webp?v=1759934368\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"J4011B Edge AI Computer, This device combines compact size with rich I\/O features including USB, HDMI, Ethernet, Wi-Fi, SSD, and more.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j4011b-edge-ai-computer-KX5em.png?v=1759934393\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47841269907680,"sku":"114993488","price":949.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1-114993488-recomputer-j4011b-carrier-board_2.jpg?v=1759929302"},{"product_id":"recomputer-j3011b-edge-ai-computer-with-nvidia-jetson-orin-nano-8gb","title":"reComputer J3011B Edge AI Bilgisayarı, NVIDIA Jetson Orin Nano 8GB, 128GB NVMe, HDMI 2.1, USB 3.2, GbE, M.2, mini-PCIe","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer J3011B, \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003eEdge AI Bilgisayarı\u003c\/a\u003e olup \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin Nano 8GB modülüne dayanmaktadır. reComputer J401B serisine (reComputer Classic serisinin bir versiyonu) aittir ve zengin arayüzlerle kenarda kompakt, üretime hazır AI sunmaktadır: 2x USB 3.2, HDMI, Gigabit Ethernet, Wi‑Fi modülü için M.2 Anahtar E*, SSD için M.2 Anahtar M, LTE modülü için mini‑PCIe*, CAN, 40‑pin genişletme ve daha fazlası. Önceden yüklenmiş 128GB NVMe SSD, alüminyum kasa ve aktif soğutma dahildir. Not: Wi‑Fi ve LTE modülleri ek satın alma gerektirir.\u003c\/p\u003e\u003cp\u003eJetson Orin Nano ile uyumlu olup, 67 TOPS'a kadar performans sunar (kendiniz OS güncellemesi yapmanız gerekmektedir) ve süper modda 25W tüketir. Cihaz, JetPack 5.1.3 ve Linux OS BSP ile birlikte gelir ve JetPack 6.2'yi destekler. Sertifikalar arasında RoHS, CE, FCC, KC, UKCA ve REACH bulunmaktadır. Üretim ömrü en az 2032 yılına kadar devam etmektedir.\u003c\/p\u003e\u003ch2\u003eTemel Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson Orin Nano üzerinde Gömülü AI platformunu oluşturun; 67 TOPS'a kadar (kendiniz OS güncellemesi gerektirir); süper modda 25W.\u003c\/li\u003e\n\u003cli\u003eGeniş I\/O ile geliştirme ve dağıtım için tasarlanmıştır: 2x USB 3.2, HDMI, Ethernet, M.2 Anahtar M, M.2 Anahtar E, mini‑PCIe, 40‑pin GPIO.\u003c\/li\u003e\n\u003cli\u003eWi‑Fi ve LTE dahil olmak üzere birden fazla kablolu ve kablosuz iletişimi destekler (modüller ayrı satılmaktadır).\u003c\/li\u003e\n\u003cli\u003eÖnceden yüklenmiş JetPack 5.1.3, Linux OS BSP hazır; JetPack 6.2'yi destekler.\u003c\/li\u003e\n\u003cli\u003eUyumluluk: RoHS, CE, FCC, KC, UKCA, REACH.\u003c\/li\u003e\n\u003cli\u003eEn az 2032 yılına kadar üretim ömrü ile uzun vadeli kullanılabilirlik.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDonanım Genel Bakışı\u003c\/h2\u003e\u003cp\u003eTaşıyıcı kart, donanım genel bakış diyagramında etiketli konektörler sağlar: Kontrol ve UART başlığı, MIPI‑CSI kamera konektörleri (2x), M.2 Anahtar M ve M.2 Anahtar E yuvası, RTC 2-pin ve RTC soketi, CAN başlığı, Fan başlığı, 40-pin genişletme başlığı (GPIO\/I2C\/UART), USB Type-C (cihaz modu), USB 3.2 portları (2x), HDMI, DC güç jakı, Gigabit Ethernet portu, Güç LED'i ve LTE modülü için mini-PCIe yuvası. Diyagram ayrıca LTE kullanımı için bir SIM kart yuvası ve isteğe bağlı PoE geri güç başlığını göstermektedir.\u003c\/p\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÜrün Serisi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ereComputer J3011B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModül\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Orin Nano 8GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e40 TOPS; süper modda 67 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1024 çekirdekli NVIDIA Ampere mimarisi GPU, 16 Tensor Core ile\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Maks Frekansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e625 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm® Cortex®-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU Maksimum Frekansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1.5 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 68 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eönceden yüklenmiş 128GB NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Kodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1080p30, 1–2 CPU çekirdeği tarafından desteklenmektedir\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Çözücü\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 (H.265); 2x 4K30 (H.265); 5x 1080p60 (H.265); 11x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCSI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2-yol 15pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ Bağlantısı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.2 Tip‑A (10Gbps); 1x USB2.0 Tip‑C (Cihaz Modu)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 Anahtar M\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M SSD için\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 Anahtar E\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E için Wi‑Fi modülü*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003emini‑PCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x mini‑PCIe LTE modülü için*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x JST 4pin Fan Bağlantısı (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x CAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇok Fonksiyonlu Port\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40‑Pin Genişletme başlığı; 1x 12‑Pin Kontrol ve UART başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRTC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRTC 2‑pin; RTC soketi (CR1220* destekler)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç Kaynağı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC 9–19V 5525 DC jakı üzerinden\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBelgelendirme\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCE, FCC, KC, TELEC; UKCA, REACH, RoHS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-10~60 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoyut\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130mm x120mm x 58.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğırlık\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e451.9g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGaranti\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 yıl\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÜretim Süresi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2032'ye kadar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAçıklama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e* ile işaretlenmiş seçenekler ek satın alma gerektirir\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Jetson Orin™ modülü\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed taşıyıcı kartı (\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003ereComputer\u003c\/a\u003e J401B)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e128GB NVMe SSD\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFanlı alüminyum soğutucu\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSiyah alüminyum kasa\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Adaptörü (12V\/5A)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eNot: Wi‑Fi ve LTE modülleri ek satın alma gerektirir; paket içinde yer almamaktadır.\u003c\/p\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAkıllı Sokak Lambası: daha iyi trafik kontrolü için trafik izleme ve veri iletimi.\u003c\/li\u003e\n\u003cli\u003eElektrikli Araç Batarya Değiştirme\/Yükleme Sistemi: şarj sürelerini optimize eden akıllı şebeke bağlantılı istasyonlar.\u003c\/li\u003e\n\u003cli\u003eAkıllı Geri Dönüşüm Merkezi: toplama gezilerini azaltmak ve verimli operasyonları sağlamak için sensörlü kutular.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer_J401B_datasheet_v1.pdf\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer_J401B_CarrierBoard_SCH_V1.0.pdf\" target=\"_blank\"\u003eTaşıyıcı Kart Şeması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer_J401B_LTE_SCH_V1.0.pdf\" target=\"_blank\"\u003eLTE Kart Şemaları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNVIDIA Jetson Ürün Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Başarı Hikayeleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"J3011B Edge AI Computer, AI computer with NVIDIA Jetson Orin Nano and advanced interfaces for applications like edge AI, machine learning, and high-performance computing.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011B-Edge-AI-Computer-QMW2u.png?v=1759935068\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/p\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"The J3011B Edge AI Computer features M.2, USB 3.2, HDMI, PoE, LTE, GPIO, CAN, and camera support for versatile industrial applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3011b-edge-ai-computer-JUP0k.webp?v=1759935118\"\u003e\u003cp\u003eJ3011B Edge AI Bilgisayarı, M.2 yuvaları, USB 3.2, HDMI, Gigabit Ethernet, SIM yuvası, LTE için mini-PCIe, GPIO, UART, CAN, genişletme başlıkları, RTC, kamera bağlantıları, DC jakı ve PoE desteği.\u003c\/p\u003e\u003cimg alt=\"J3011B Edge AI Computer, Smart lamppost with AI camera, sensors, and LED display\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011B-Edge-AI-Computer-T4Lx3.webp?v=1759935145\"\u003e\u003cp\u003eYapay zeka kamerası, sensörler ve LED ekran ile akıllı aydınlatma direği\u003c\/p\u003e\u003cimg alt=\"J3011B Edge AI Computer, The Smart Lamppost application monitors traffic and transmits data for improved traffic control.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011B-Edge-AI-Computer-lDjrD.webp?v=1759935165\"\u003e\u003cimg alt=\"J3011B Edge AI Computer, Builds embedded AI platform on Jetson Orin Nano, achieving up to 67 TOPS and consuming 25W in super mode.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3011b-edge-ai-computer-ujtrr.webp?v=1759935186\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"J3011B Edge AI Computer, JetPack 5.1.3 pre-installed on Linux OS, ready for BSP, and compatible with JetPack 6.2.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3011B-Edge-AI-Computer-b7gJb.png?v=1759935213\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47841288782048,"sku":"114993487","price":889.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1-114993488-recomputer-j4011b-carrier-board_1.jpg?v=1759929919"},{"product_id":"recomputer-mini-j3011-intelligent-edge-ai-computer-with-nvidia-jetson-orin-nano-8gb","title":"reComputer Mini J3011 Edge AI Bilgisayarı, NVIDIA Jetson Orin Nano 8GB, 40 TOPS'a kadar, PCIe, 63mm x 95mm x 42mm","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer Mini J3011, NVIDIA Jetson Orin Nano 8GB modülü etrafında inşa edilmiş bir \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003eEdge AI Bilgisayarı\u003c\/a\u003e olup, 40 TOPS'a kadar AI performansı sunmaktadır. Kompakt sistem (63mm x 95mm x 42mm), Mini J401 taşıyıcı kartı, soğutma fanı ve muhafazayı entegre eder ve esnek genişleme için alt PCIe arayüzü ile donatılmıştır. Otonom makinelerde, örneğin dronlar, devriye robotları ve teslimat robotları gibi gömülü kullanım için tasarlanmıştır ve pil ile çalışan uygulamalar için XT30 konektörü aracılığıyla geniş bir 12–54V DC girişini destekler.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eHarika AI performansı: NVIDIA Orin Nano (Ampere GPU + 6 çekirdekli Arm CPU) ile düşük güç ve gecikme ile 40 TOPS'a kadar, gelişmiş video\/görüntü işleme ve NVIDIA Derin Öğrenme Hızlandırıcıları ile.\u003c\/li\u003e\n\u003cli\u003eEl boyutunda tasarım: 63mm x 95mm x 42mm; \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin Nano 8GB modülü, Mini J401 taşıyıcı kartı, fan ve muhafaza içerir; masaüstü ve duvara montajı destekler.\u003c\/li\u003e\u003cli\u003eGenişletilebilir I\/O: 4 x USB, DP 1.4, M.2 Anahtar E, M.2 Anahtar M. 4 x USB 3.0, çift CAN ve RJ‑45 GbE gibi daha fazla seçenek \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-Mini-J3011-with-Extension-p-6354.html\" target=\"_blank\"\u003ereComputer J3011 ile uzantı\u003c\/a\u003e üzerinde mevcuttur.\u003c\/li\u003e\n\u003cli\u003eÜretime hız kazandırın: 128GB NVMe SSD üzerinde önceden yüklenmiş JetPack 6.0 ile Linux BSP; Jetson yazılımını ve önde gelen AI çerçevelerini destekler.\u003c\/li\u003e\n\u003cli\u003eDağıtım için ölçeklendirin: Allxon ve Balena tarafından desteklenen OTA ve uzaktan yönetim hizmetleri.\u003c\/li\u003e\n\u003cli\u003eEsnek özelleştirme: J3011 tasarımına dayalı aksesuar modülleri, logo ve donanım arayüzü modifikasyonları için seçenekler (\u003ca href=\"https:\/\/www.seeedstudio.com\/odm.html\" target=\"_blank\"\u003eSeeed ODM\u003c\/a\u003e).\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ch3\u003eJetson Orin Modül Sistemi\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e\n\u003ctd\u003ereComputer Mini J3011 – Orin Nano 8GB – 40 TOPS; reComputer Mini J4012 – Orin NX 16GB – 100 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e32 Tensor Core ile 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm Cortex‑A78AE (Orin Nano 8GB); 8 çekirdekli Arm Cortex‑A78AE v8.2 64 bit (Orin NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e8GB 128 bit LPDDR5 (Orin Nano 8GB); 16GB 128 bit LPDDR5 (Orin NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Kodlama\u003c\/td\u003e\n\u003ctd\u003eOrin Nano 8GB: 1–2 CPU çekirdeği ile desteklenen 1080p30. Orin NX 16GB: 1x 8K30 (H.265) | 2x 4K60 (H.265) | 4x 4K30 (H.265) | 9x 1080p60 (H.265) | 18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Dekodlama\u003c\/td\u003e\n\u003ctd\u003eOrin Nano 8GB: 1x 4K60 (H.265); 2x 4K30 (H.265); 5x 1080p60 (H.265); 11x 1080p30 (H.265).Orin NX 16GB: 1x 8K30 (H.265); 2x 4K60 (H.265); 4x 4K30 (H.265); 9x 1080p60 (H.265); 18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL Hızlandırıcı\u003c\/td\u003e\n\u003ctd\u003eOrin NX: 2x NVDLA v2; Orin Nano: \/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eTaşıyıcı Kart\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M PCIe (M.2 NVMe 2242 SSD 128G dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ Bağlantısı\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E WiFi\/Bluetooth modülü için\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eG\/Ç – USB\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.2 Tip‑A (10Gbps); 1x USB 2.0 Mikro‑B (Cihaz Modu); 1x USB 3.2 Tip‑C (Ana Mod); 1x USB 2.0 JST‑5pin (Ana Mod)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eG\/Ç – UART\u003c\/td\u003e\n\u003ctd\u003e1x UART; 1x Hata Ayıklama UART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEkran\u003c\/td\u003e\n\u003ctd\u003e1x DP 1.4 (Type‑C konektöründe dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan\u003c\/td\u003e\n\u003ctd\u003e1x 4‑pin Fan Bağlantısı (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDüğmeler\u003c\/td\u003e\n\u003ctd\u003e1x Sıfırlama; 1x Kurtarma\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGenişletme Portları\u003c\/td\u003e\n\u003ctd\u003e2x 60‑pin Yüksek Hızlı Bağlantılar (genişletme kartı için); 1x 10‑pin Güç Bağlantısı (genişletme kartı için)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Girişi\u003c\/td\u003e\n\u003ctd\u003e1x XT30 Bağlantısı (12–54V DC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eMekanik \u0026ve Çevresel\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyutlar (G x D x Y)\u003c\/td\u003e\n\u003ctd\u003e63mm x 95mm x 42mm (Genişletme Olmadan)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğırlık\u003c\/td\u003e\n\u003ctd\u003e345g (Genişletme Olmadan)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKurulum\u003c\/td\u003e\n\u003ctd\u003eMasada, duvara montaj\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma Sıcaklığı\u003c\/td\u003e\n\u003ctd\u003e-10℃ ~ 50℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eGaranti\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd\u003eGaranti\u003c\/td\u003e\n\u003ctd\u003e1 Yıl\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003cimg alt=\"ReComputer Mini Edge AI Computer, reComputer Mini J3011 hardware overview\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-5UsV8.png?v=1759935726\"\u003e\u003ch3\u003e Masaüstü, duvara montaj, genişletilebilir veya her yere sığabilir\u003c\/h3\u003e\u003ch2\u003eUygulama\u003c\/h2\u003e\u003ch3\u003eRobotik Kontrol\u003c\/h3\u003e\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/UlcHC2XVgIk?si=8jr-45Gt-Fj3zGgs\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003e\n\u003cstrong\u003eÜretken AI'yı Kenara Getirme Yeteneği\u003c\/strong\u003e — Doğal dil kullanarak video içinden özetleme, arama ve içgörü çıkarma için LLaVA gibi Görüntü-Dil Modelleri kullanarak AI ajanları oluşturun.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e\u003cimg alt=\"ReComputer Mini Edge AI Computer, VLM application\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-Zjd3K.png?v=1759935738\"\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003e\n\u003cstrong\u003eÇoklu Akış AI Video Analitiği Oluşturun\u003c\/strong\u003e — Jetson video dekoderi, SD'den UltraHD'ye oynatmayı hızlandırır. \u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003ereComputer\u003c\/a\u003e J4012, 18x1080p30 akışını destekleyebilir. \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv8-DeepStream-TRT-Jetson\/#multistream-model-benchmarks\" target=\"_blank\"\u003eYOLOv8 performansını DeepStream'te görün\u003c\/a\u003e.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e\u003cimg alt=\"ReComputer Mini Edge AI Computer, Multi‑stream analytics\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-sgdmO.png?v=1759935750\"\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003e\n\u003cstrong\u003eÜretken AI ve Bilgisayarla Görme Modellerini Dağıtmanın En Hızlı Yolu\u003c\/strong\u003e — Ollama, Llama3, YOLOv8 ve daha fazlasının tek satırlık dağıtımı için hazırlanmış \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\" target=\"_blank\"\u003ejetson-example\u003c\/a\u003e deposunu kullanın.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e\u003cimg alt=\"Edge AI apps\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-FllKV.webp?v=1759935783\"\u003e\u003c\/p\u003e\u003cp\u003eReComputer Mini, Llama3, ollama, LLaVA, Stable Diffusion, Nanoowl ve Whisper'ı destekler.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/AdpT0kwcPHo?si=yw_fo2F6JggCfhR2\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_mini_datasheet_V1.0.pdf\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/mini\/reComputer_Mini_SCH.7z\" target=\"_blank\"\u003eŞematik\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/mini\/reComputer_Mini_3D.7z\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNvidia Jetson Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNvidia Jetson Ürün Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Başarı Örnekleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003cdiv class=\"certification\"\u003e\n\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102110999-CE.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"CE\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102110999-EUDOC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"EUDOC\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102110999-FCC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"FCC\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102110999-ROHS.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"ReComputer Mini Edge AI Computer, AI computer with NVIDIA Jetson Orin Nano and 8GB memory, suitable for edge AI applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-aDIYo.png?v=1759935811\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102110999-UKDOC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"UKDOC\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ereComputer Mini J3011 x1\u003c\/li\u003e\n\u003cli\u003eAnten x2\u003c\/li\u003e\u003cli\u003ext30'dan DC güç konektörü x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"ReComputer Mini Edge AI Computer, The Elite Partner NVIDIA ReComputer Mini J30I features AI performance, Wi-Fi\/Bluetooth, and multiple USB ports for various applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-YMm9H.webp?v=1759935870\"\u003e\u003cp\u003eElite Partner NVIDIA reComputer Mini J30I.Jetson Orin ile güçlendirilmiş, 40 TOPS Nano ve 8GB bellek sunan bu cihaz, 63*95*42mm (uzantı ile 66.7mm) ölçülerinde kompakt bir pakette yüksek performans sunmaktadır. Çalışma sıcaklığı aralığı: -10°C ile 50°C. Bağlantı özellikleri arasında USB 2.0 Micro-B, Wi-Fi, Bluetooth ve iki USB 3.2 portu bulunmaktadır. Güç kaynağı isteğe bağlıdır. Ek arayüzler arasında RJ-45 GbE, çift CAN ve dört USB 3.0 Type-A portu yer almaktadır.\u003c\/p\u003e\u003cimg alt=\"ReComputer Mini Edge AI Computer, The J40 Mini Edge AI Computer is a compact, powerful device with extensive connectivity and cooling fins, ideal for industrial edge computing applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-oo83Q.webp?v=1759935924\"\u003e\u003cp\u003eKompakt ve güçlü olan J40 Mini Edge AI Bilgisayarı, geniş bağlantı seçenekleri sunmaktadır. Yan portlar arasında USB 2.0 Micro-B (Cihaz Modu), HOST+DP, RESET ve RECOVERY bulunmaktadır. Ön kısımda POWER IN (9–60V), USB 2.0, UART1 ve UART DEBUG yer almaktadır. Arka arayüzler 2x USB 3.2 Type-A, 4x USB 3.0 Type-A (5 Gbps), Ethernet, SPI, CAN0+Güç, IIC1, IIC0 ve Can1 sunmaktadır. Verimli performans için tasarlanmış olup, termal yönetim için soğutma kanatları içermektedir. Kenar bilişim için ideal olan bu cihaz, kompakt form faktöründe çeşitli endüstriyel uygulamaları destekleyen sağlam bir yapıya sahiptir.\u003c\/p\u003e\u003cimg alt=\"ReComputer Mini Edge AI Computer, Shelf collapsed at 3:30 PM, boxes fell and blocked aisle; incident captured on camera.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-4pQ3F.webp?v=1759935957\"\u003e\u003cp\u003eRaf saat 15:30'da çöktü, kutular düştü ve geçidi kapattı; olay kameraya kaydedildi.\u003c\/p\u003e\u003cimg alt=\"ReComputer Mini Edge AI Computer powered by NVIDIA for edge AI applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-KXiTn.webp?v=1759936007\"\u003e\u003cp\u003eNVIDIA DeepStream otomobil ürünü 0.73 FPS ve 0.79 Ortalama performansa sahip.\u003c\/p\u003e\u003cimg alt=\"ReComputer Mini Edge AI Computer, Edge AI device featuring Llama3, ollama, LLaVA, and advanced AI tools for on-device processing and inference.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-qRYwk.webp?v=1759936041\"\u003e\u003cp\u003eLlama3, ollama, LLaVA ve daha fazlasıyla Edge AI cihazı.\u003c\/p\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"ReComputer Mini Edge AI Computer, Production-ready Jetson module with pre-installed JetPack 6.0 and 128GB storage for accelerated development and deployment.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-Mini-Edge-AI-Computer-o9qEx.png?v=1759936066\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47841301758176,"sku":"102110999","price":809.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/7-recomputer-mini-j3040-_without-expansion-board_-feature_1.jpg?v=1759930716"},{"product_id":"recomputer-mini-j4012-with-extension-intelligent-edge-ai-computer-with-nvidia-jetson-orin-nx-16gb","title":"reComputer Mini J4012 Uzatmalı – NVIDIA Jetson Orin NX 16GB, 100 TOPS, 12–54V DC, Çift CAN’lı Edge AI Bilgisayarı","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer Mini J4012 Uzantılı, \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003eEdge AI Bilgisayarı\u003c\/a\u003e olarak tasarlanmış bir \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin NX 16GB modülüne dayanan, 100 TOPS'a kadar AI performansı sunan bir sistemdir. Kompakt sistem, zengin I\/O'yu sağlamak için altta bir PCIe genişletme arayüzü entegre eder; bu, 8'e kadar USB portu ve çift CAN dahil olmak üzere esnek özelleştirme seçenekleri sunar. Otonom makineler (drone'lar, devriye robotları, teslimat robotları) içine gömülmek üzere tasarlanmıştır ve XT30 konektörü aracılığıyla 12–54V DC girişi destekler, bu da pil ile çalışan uygulamalar için uygun hale getirir.\u003c\/p\u003e\u003cp\u003eÜnite, uzantı ile 63mm x 95mm x 66.7mm (uzantı olmadan 63mm x 95mm x 42mm) ölçülerindedir ve masaüstü veya duvara montajı destekler.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Orin SoC ile güçlendirilmiş, NVIDIA Ampere mimarisi GPU, NVIDIA Derin Öğrenme Hızlandırıcıları ve gelişmiş video\/görüntü işleme ile 100 TOPS'a kadar AI performansı.\u003c\/li\u003e\u003cli\u003eJetson Orin NX 16GB: 32 Tensor Core ile 1024 çekirdekli NVIDIA Ampere mimarisi GPU; 8 çekirdekli Arm Cortex-A78AE v8.2 64-bit CPU; 16GB 128-bit LPDDR5.\u003c\/li\u003e\n\u003cli\u003eEl boyutunda tasarım: 63mm x 95mm x 66.7mm (uzatma ile) \/ 63mm x 95mm x 42mm (uzatma olmadan); masaüstü ve duvara montaj desteği.\u003c\/li\u003e\n\u003cli\u003eZengin genişletme: 8x USB'ye kadar, DP 1.4 (Type-C üzerinden), 1x RJ-45 GbE, M.2 Anahtar E, M.2 Anahtar M, çift kanallı CAN, GPIO.\u003c\/li\u003e\n\u003cli\u003e128GB NVMe SSD üzerinde önceden yüklenmiş JetPack 6.0; Linux OS BSP; Jetson yazılımını ve önde gelen AI çerçevelerini destekler.\u003c\/li\u003e\n\u003cli\u003eÖlçeklenebilir dağıtım: OTA ve Allxon ile Balena üzerinden uzaktan yönetim hizmetleri.\u003c\/li\u003e\n\u003cli\u003eGüç girişi: XT30 konektörü, 12–54V DC.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eJetson Orin Modül Sistemi\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYapay Zeka Performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ereComputer Mini J4012 ile Uzatma - Orin NX 16GB, 100 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32 Tensor Core ile 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8 çekirdekli Arm Cortex-A78AE v8.2 64-bit CPU (Orin NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR5 (Orin NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Kodlama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 (H.265) | 2x 4K60 (H.265) | 4x 4K30 (H.265) | 9x 1080p60 (H.265) | 18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Dekodlama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 (H.265); 2x 4K60 (H.265); 4x 4K30 (H.265); 9x 1080p60 (H.265); 18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDL Hızlandırıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x NVDLA v2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eTaşıyıcı Kart\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M PCIe (M.2 NVMe 2242 SSD 128G dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ Bağlantısı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E WiFi\/Bluetooth modülü için\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"6\"\u003e\u003cstrong\u003eG\/Ç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.2 Tip-A (10Gbps); 1x USB 2.0 Mikro-B (Cihaz Modu); 1x USB 3.2 Tip-C (Ana Mod); 1x USB 2.0 JST-5pin (Ana Mod)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd\u003e1x UART; 1x Hata Ayıklama UART\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd\u003e1x DP 1.4 (Type-C konektöründe dahil)\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd\u003e1x 4-pin Fan Bağlantısı (5V PWM)\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd\u003e1x Sıfırlama Düğmesi; 1x Kurtarma Düğmesi\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd\u003e2x 60-pin Yüksek Hızlı Bağlantı (uzatma kartı); 1x 10-pin Güç Bağlantısı (uzatma kartı); 1x RTC 2-pin\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x XT30 Bağlantısı (12–54V DC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eUzatma Kartı\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.0 Type-A (5 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCAN (Güç Sağlama)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCAN0: XT30 (2+2) x2; CAN1: JST x2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4-pin Fan Bağlantısı (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI2C\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x I2C JST 4-pin (3.3V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSPI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x SPI JST 6-pin (3.3V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eMekanik\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoyutlar (G x D x Y)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e63mm x 95mm x 42mm (uzatma olmadan); 63mm x 95mm x 66.7mm (uzatma ile)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğırlık\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e345g (uzatma olmadan); 462g (uzatma ile)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKurulum\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMasada; Duvara montaj\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-10℃~50℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGaranti\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 Yıl\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ereComputer Mini J4012 (Uzatma ile) x1\u003c\/li\u003e\n\u003cli\u003eAnten x2\u003c\/li\u003e\n\u003cli\u003eXT30'dan DC güç konektörü x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003ch3\u003eRobotik Kontrol\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eDoğal dil aracılığıyla video içinden özetleme, arama ve içgörü çıkarma işlemleri için Görsel-Dil Modellerini (e.g., LLaVA) kullanarak Üretken AI'yi kenara getirme yeteneğine sahip.\u003c\/li\u003e\u003cli\u003eÇoklu akış AI video analitiği oluşturun: Jetson Orin NX video dekoderi 8K\/4K\/HD\/SD içeriğini hızlandırır; reComputer J4012, 18x1080p30 akışını alabilir (NVIDIA DeepStream ile test edilmiştir).\u003c\/li\u003e\n\u003cli\u003eHızlı dağıtım: Hazırlanmış ortamlarla Generative AI (Ollama, Llama3) ve Bilgisayarla Görme (YOLOv8) için tek satırlık projeler.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/UlcHC2XVgIk?si=8jr-45Gt-Fj3zGgs\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/AdpT0kwcPHo?si=yw_fo2F6JggCfhR2\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_mini_datasheet_V1.0.pdf\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/mini\/reComputer_Mini_SCH.7z\" target=\"_blank\"\u003eŞematik\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/mini\/reComputer_Mini_3D.7z\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNvidia Jetson Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNvidia Jetson Ürün Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Başarı Örnekleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUPC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEUHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCOO\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"ReComputer J4012 AI Computer, Elite NVIDIA computer with excellent performance, compact size, and wide temperature range.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-J4012-AI-Computer-kLZTR.webp?v=1759937179\"\u003e\u003cp\u003eElite Partner NVIDIA reComputer Mini J4012 Jetson Orin, 6GB RAM ile TOPS NX performansı sunarak, 63x95x42mm (66.7mm uzantı dahil). -10°C ile 50°C arasında geniş bir sıcaklık aralığında çalışır. Özellikler arasında USB 2.0, mikro-B, WiFi\/Bluetooth ve 4x USB 3.2 Tip-A gibi I\/O portları bulunmaktadır.\u003c\/p\u003e\u003cimg alt=\"ReComputer J4012 AI Computer, The ReComputer J4012 is a compact, feature-rich AI computer with extensive connectivity, clear labeling, and efficient cooling, designed for reliable performance in diverse applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-J4012-AI-Computer-OSGVS.webp?v=1759937233\"\u003e\u003cp\u003eKomple ve özellik açısından zengin olan ReComputer J4012 AI Bilgisayarı, 2x USB 3.2 Tip-A, 4x USB 3.0 Tip-A (5 Gbps), Ethernet, SPI, IIC0, IIC1, CAN0+Güç, CAN1, USB 2.0, UART1, UART DEBUG ve GÜÇ GİRİŞİ (9–60V) ile geniş bağlantı imkanı sunar. HOST+DP, USB 2.0 Mikro-B (Cihaz Modu), KURTARMA ve SIFIRLA desteği vardır. Ön paneldeki etiketli J40 Mini rozeti modeli tanımlar. Havalandırma delikleri soğutmaya yardımcı olurken, net bir şekilde işaretlenmiş portlar kolay erişim ve kurulum sağlar. Farklı uygulamalarda güvenilir performans için tasarlanmıştır.\u003c\/p\u003e\u003cimg alt=\"ReComputer J4012 AI Computer, Shelf collapsed, boxes fell at 3:30 PM, blocking aisle in warehouse.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-J4012-AI-Computer-76iaq.webp?v=1759937262\"\u003e\u003cp\u003eRaf çöktü, kutular saat 15:30'da düştü ve depo koridorunu kapattı.\u003c\/p\u003e\u003cimg alt=\"ReComputer J4012 AI computer performs poorly, achieving FPS 0 and average performance of 0.79 with performance metrics ranging from 0 to 60.02.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-J4012-AI-Computer-sO1KG.webp?v=1759937315\"\u003e\u003cp\u003eNvidia Deepstream aracı 0.73 FPS performansıyla BLOK MODUNDA açılıyor.\u003c\/p\u003e\u003cimg alt=\"ReComputer J4012 AI Computer, ReComputer J4012 is an AI computer supporting Llama3, Ollama, LLaVA, and other advanced AI tools for powerful edge computing and machine learning applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-J4012-AI-Computer-A7Omc.webp?v=1759937349\"\u003e\u003cp\u003e\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003eReComputer\u003c\/a\u003e J4012 AI bilgisayarı, Llama3, Ollama, LLaVA ve daha fazlasıyla.\u003c\/p\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"ReComputer J4012 AI Computer, Compact system integrates PCIe expansion interface for rich I\/O, including USB and CAN, with customizable options.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-J4012-AI-Computer-duUnJ.png?v=1759937375\"\u003e\u003cimg alt=\"ReComputer J4012 AI Computer, Designed for autonomous machines, this module supports 12-54V DC input and is suitable for battery-powered deployments.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ReComputer-J4012-AI-Computer-UDo3A.png?v=1759937399\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47841322696928,"sku":"114993553","price":1469.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/7-recomputer-mini-j30or40-feature_1.jpg?v=1759932145"},{"product_id":"recomputer-super-j3010-advanced-edge-ai-computer-with-nvidia-jetson-orin-nano-4gb","title":"reComputer Super J3010 Edge AI Bilgisayarı – NVIDIA Jetson Orin Nano 4GB, 34 TOPS, 2x RJ45 GbE, 4x USB 3.2, HDMI 2.1","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\n\u003cp\u003ereComputer Super J3010, NVIDIA® Jetson™ Orin™ Nano 4GB modülüne dayanan bir Edge AI Bilgisayarıdır. MAXN Süper Modu'nda 34 TOPS'a kadar performans sunar, -20℃~65℃ aralığında çalışır ve genişletme modülleri ile çift Gigabit Ethernet üzerinden Wi‑Fi\/Bluetooth\/LTE yetenekleri ile hızlı geliştirme ve dağıtım için tasarlanmıştır. Sistem, önceden yüklenmiş JetPack 6.2 ve 128GB NVMe SSD ile birlikte sunulmaktadır. Video analizi, çok modlu algılama ve robotik uygulamalar için uygundur. reComputer Super J3010 ailesini veya J3011 (Orin Nano 8GB) varyantını düşünen projeler için, Özellikler bölümündeki modül karşılaştırmasına bakınız.\u003c\/p\u003e\n\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSüper Artırılmış AI Performansı:\u003c\/strong\u003e Görsel AI, robotik ve üretken AI için MAXN Süper Modu'nda 34 TOPS'a kadar.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnerji Verimli Çalışma:\u003c\/strong\u003e 10W'dan 25W'a kadar yapılandırılabilir güç modları (modül güç profilleri: J3010 için 7W–10W–25W; J3011 için 7W–15W–25W).\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eSağlam Termal Tasarım:\u003c\/strong\u003e -20°C ile 65°C arasında güvenilir çalışma.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eZengin Arayüzler:\u003c\/strong\u003e 2x RJ45, SIM kart yuvası, 4× USB 3.2 Type‑A (5Gbps), 1× USB 2.0 Type‑C (Cihaz\/Hata Ayıklama), HDMI 2.1, CAN, ayrıca M.2 Anahtar E\/M, Mini‑PCIe ve kameralar için 4× CSI.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDağıtım İçin Hazır:\u003c\/strong\u003e JetPack 6.2 önceden yüklenmiş ve 128GB NVMe SSD; uygulama geliştirmeyi hızlandırmak için NVIDIA Isaac, Hugging Face ve ROS2\/1'i destekler.\u003c\/li\u003e\u003c\/ul\u003e\n\u003ch2\u003eÖzellikler\u003c\/h2\u003e\n\u003ch3\u003eModül (AP) Karşılaştırması\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003ereComputer Super J3010\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003ereComputer Super J3011\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUygulama İşlemcisi (AP)\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Orin™ Nano 4GB\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Orin™ Nano 8GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e\n\u003ctd\u003eOrin Nano 4GB – 34 TOPS (MAXN_SUPER)\u003c\/td\u003e\n\u003ctd\u003eOrin Nano 8GB – 67 TOPS (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e16 Tensor Core ile 512 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e\n\u003ctd\u003e32 Tensor Core ile 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Maksimum Frekansı\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1020 MHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e6 çekirdekli Arm® Cortex®‑A78AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Maksimum Frekansı\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1.7 GHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR5 (34GB\/s'ye kadar; 51 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 (68GB\/s'ye kadar; 102 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Profilleri\u003c\/td\u003e\n\u003ctd\u003e7W – 10W – 25W\u003c\/td\u003e\n\u003ctd\u003e7W – 15W – 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Kodlama\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1080p30, 1–2 CPU çekirdeği tarafından desteklenmektedir\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Dekodlama (H.265)\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1× 4K60; 2× 4K30; 5× 1080p60; 11× 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCSI Kamera\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eEn fazla 4 kamera (sanal kanallar üzerinden 8***); 8 hat MIPI CSI-2; D-PHY 2.1 (20Gbps'ye kadar)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül Mekaniği\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e69.6mm × 45mm; 260-pin SO-DIMM konektörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eTaşıyıcı Kart \u0026ve Sistem\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd\u003e1× M.2 Anahtar M PCIe (M.2 NVMe 2280 SSD 128G dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ – M.2 Anahtar E\u003c\/td\u003e\n\u003ctd\u003e1× M.2 Anahtar E için WiFi\/Bluetooth modülü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ – Mini‑PCIe\u003c\/td\u003e\n\u003ctd\u003e1× mini‑PCIe LTE 4G modülü için\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e2× RJ45 Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4× USB 3.2 Type‑A (5Gbps); 1× USB 2.0 Type‑C (Cihaz Modu\/Hata Ayıklama)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKamera\u003c\/td\u003e\n\u003ctd\u003e4× MIPI CSI (2‑şerit, 15‑Pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCAN\u003c\/td\u003e\n\u003ctd\u003e1× CAN (4‑Pin Header)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEkran\u003c\/td\u003e\n\u003ctd\u003e1× HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan\u003c\/td\u003e\n\u003ctd\u003e1× 4‑Pin 1.25mm Fan Bağlantısı (5V PWM); 1× 4‑Pin 2.54mm Fan Connector (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUzatma Portları\u003c\/td\u003e\n\u003ctd\u003e1× 40‑Pin uzatma başlığı; 1× 12‑Pin kontrol ve UART başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1× RTC 2‑pin; 1× RTC Soketi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED\u003c\/td\u003e\n\u003ctd\u003e2× LED (PWR ve ACT)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDüğmeler\u003c\/td\u003e\n\u003ctd\u003e1× PWR; 1× RESET\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAnahtar\u003c\/td\u003e\n\u003ctd\u003e1× REC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAnten\u003c\/td\u003e\n\u003ctd\u003e4× Anten Delikleri\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Girişi\u003c\/td\u003e\n\u003ctd\u003e12–19V 5525 Barrel DC Jack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYazılım\u003c\/td\u003e\n\u003ctd\u003eJetPack 6.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Mekanik (G × D × Y) \u003c\/td\u003e\n\u003ctd\u003e 130mm × 120mm × 66mm \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Ağırlık \u003c\/td\u003e\n\u003ctd\u003e 1110g \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Kurulum \u003c\/td\u003e\n\u003ctd\u003e Masa, Duvara montaj \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Çalışma Sıcaklığı \u003c\/td\u003e\n\u003ctd\u003e -20℃~65℃ \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Garanti \u003c\/td\u003e\n\u003ctd\u003e 2 Yıl \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Sertifikasyon \u003c\/td\u003e\n\u003ctd\u003e RoHS, REACH, CE, FCC, UKCA, KC \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e Uygulamalar \u003c\/h2\u003e\n\u003cp\u003e AMR, akıllı perakende, endüstriyel otomasyon, video gözetimi ve akıllı video analizi gibi zorlu Edge AI dağıtımları için tasarlanmıştır. \u003ca href=\"https:\/\/docs.nvidia.com\/jetson\/jps\/moj-overview.html\"\u003e Jetson Platform Hizmetleri \u003c\/a\u003e NVIDIA Jetson üzerinde Edge AI uygulamalarının geliştirilmesini, dağıtımını ve yönetimini basitleştirir (e.g., 4 USB kameralı BEV algılama demosu). Üretken AI (Ollama, Llama3), bilgisayarla görme (YOLOv8) ve daha fazlası için hızlı tek satırlık dağıtım örnekleri \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\"\u003e Jetson-example \u003c\/a\u003e aracılığıyla mevcuttur.\u003c\/p\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\n\u003cdiv class=\"documents_list\"\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_super_user_manual.pdf\" target=\"_blank\"\u003eKullanıcı Kılavuzu\u0026ve Veri Sayfası\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Super_Temperature_Test_Report.pdf\" target=\"_blank\"\u003eSıcaklık Test Raporu\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Super%20J401_v1.0_SCH_PDF_250401.pdf\" target=\"_blank\"\u003eŞematik\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Super%20J401.stp\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Mechanical_reComputer_Super.dxf\" target=\"_blank\"\u003eMekanik Belge‑reComputer Super\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Mechanical_reComputer_Super_PCBA.dxf\" target=\"_blank\"\u003eMekanik Belge‑reComputer Super PCBA\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Başarı Örnekleri\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\n\u003cdiv class=\"certification\"\u003e\n\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114110311-CE.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-HwGYx.png?v=1761978241\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer, JetPack 6.2 pre-installed and 128GB NVMe SSD for accelerating application development.\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114110311-FCC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114110311-KC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-ZYa9P.png?v=1761978254\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer, Rapid deployment examples are available for generative AI, computer vision, and more via Jetson-example.\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114110311-ROHS.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-f0NDf.png?v=1761978266\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer, The Orin Nano 4GB computer is an edge AI device based on the NVIDIA Jetson module.\"\u003e\u003c\/a\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eİçindekiler\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\u003ctd\u003eJetson Orin™ NX 16GB\/NX 8GB \/ Nano 8GB \/ Nano 4GB modülü\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed Taşıyıcı Kartı (reComputer Super J401)\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e128GB NVMe SSD\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlüminyum Kasa ve Fanlı Soğutucu\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Kablosu; Tip A'dan Tip C'ye\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKullanıcı Kılavuzu\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-9c1pe.webp?v=1761978292\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer, Jetson Orin Nano 4GB offers 34 TOPS AI performance, 1.7x gain, 7W–25W efficiency, open hardware, wide temperature range, ideal for robotics, generative AI, and smart transportation. (24 words)\"\u003e\u003c\/p\u003e\n\u003cp\u003eJetson Orin Nano 4GB, 34 TOPS AI performansı sunar, 1.7 kat iyileştirme, 7W–25W güç verimliliği, açık donanım, geniş sıcaklık desteği, robotik, üretken yapay zeka ve akıllı ulaşım için idealdir. (39 kelime)\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-58OHH.webp?v=1761978336\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer features 4GB or 8GB RAM, CUDA cores, Tensor Cores, and supports frequencies up to MHz.\"\u003e\u003c\/p\u003e\n\u003cp\u003eJetson Ticari Modüller Performansı Süper Mod ile: ORIN NANO 4GB, ORIN NANO 8GB, ORIN NX I6G8 GPU Çekirdekleri: 512, 1024 Tensor Çekirdekleri: 16, 32 Maks Frekans: 625 MHz, 918 MHz, 1173 MHz Zirve AI Performansı: 20 TOPS, 34 TOPS, 40 TOPS, 67 TOPS, 70 TOPS IO Performansı: 100 TOPS, 157 TOPS CPU Frekansı: 1.5 GHz, 2.0 GHz SPECint Oranı: 106, 118, 130, 167 DLA Performansı: 20\/10 TOPs, 40\/20 TOPs, 80\/40 TOPs\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-ZAI5r.webp?v=1761978355\" alt=\"DIP switch, USB, HDMI, Ethernet, SIM slot, and DC power jack provide versatile connectivity and enhanced performance on the NVIDIA Jetson Orin Nano Edge AI Computer. (24 words)\"\u003e\u003c\/p\u003e\n\u003cp\u003eDIP anahtarı, USB portları, HDMI, Ethernet, SIM yuvası ve DC güç jakı, NVIDIA Jetson Orin Nano Edge AI Bilgisayarı'nda çok yönlü bağlantı ve performans sağlar. (34 kelime)\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-pH5gm.webp?v=1761978379\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer product image features a top view.\"\u003e\u003c\/p\u003e\n\u003cp\u003eNvidia Jetson Orin Modül Genişletme Kartı, aynı anda SV ve I2V PWM kontrol işlevselliği için 4 pinli fan konektörü sunar.\u003c\/p\u003e\u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-3hHS4.webp?v=1761978395\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer, Bottom view of NVIDIA Jetson Orin Nano showing M.2, Mini PCIe, MIPI CSI, CAN, UART, RTC battery, and extension headers for versatile connectivity and expansion.\"\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Jetson Orin Nano Edge AI Bilgisayarı'nın alt görünümü, M.2, Mini PCIe, MIPI CSI, CAN, UART, RTC pili ve çeşitli bağlantılar ve genişleme seçenekleri için genişletme başlıkları dahil olmak üzere çeşitli konektörler ve yuvalar içermektedir.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-0qslT.webp?v=1761978448\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer features generative AI, AI-powered alerts, and security features like CuOPT and measured execution.\"\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Ekosistemi, bir dizi uygulama ve hizmet sunmaktadır. AI-NVR destekli uyarılar, gerçek zamanlı izleme sağlar. Perceptor manipülatörü, bilgisayarla görme yeteneklerini artırır. Al Frameworks, Cloud Metropolis ve Isaac Holoscan'ı içerir. Referans LoT Sunucusu ve Mobil Ul Al Yığını, esnek dağıtım seçenekleri sunar. Jetson Platform Hizmetleri TAO, 50'den fazla önceden eğitilmiş modeli destekler. DeepStream Al, AI analitiği ve algılama sağlar. CUDA, CUDNN ve CUDLA, hesaplamayı hızlandırır.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-dbZrI.webp?v=1761978468\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer, A reliable thermal design for robust operation in temperatures ranging from -20°C to 65°C.\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-iP5O7.webp?v=1761978489\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer, Jetson Orin Nano powers AI apps like Llama3, Stable Diffusion, and Whisper efficiently in compact devices.\"\u003e\u003c\/p\u003e\n\u003cp\u003eJetson Orin Nano, Llama3, Stable Diffusion, Whisper gibi AI uygulamalarını çalıştırır.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-m4FJP.png?v=1761978501\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer, Configurable power modes from 10W to 25W with module power profiles: 7W-10W-25W and 7W-15W-25W.\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/nvidia-jetson-orin-nano-edge-ai-computer-VqjTE.png?v=1761978514\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer, An Edge AI computer based on the NVIDIA Jetson Orin Nano 4GB module.\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Edge-AI-Computer-j3vpR.png?v=1761978526\" alt=\"NVIDIA Jetson Orin Nano Edge AI Computer, AI performance boost with up to 34 TOPS in MAXN Super Mode for vision, robotics, and generative AI applications.\"\u003e\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Orin Nano \/ wi-Fi\/BLE\/LTE için \/ 4GB","offer_id":48080688185568,"sku":"114110311","price":699.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/5-114110311-recomputer-super-j3010.jpg?v=1761977876"},{"product_id":"recomputer-robotics-j4012-with-gmsl-extension-intelligent-edge-ai-computer-with-nvidia-jetson-orin-nx-super-16gb","title":"reComputer Robotics J4012 GMSL Uzatma Edge AI Bilgisayarı, NVIDIA Jetson Orin NX Super 16GB, 157 TOPS","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer Robotics J4012, GMSL Uzantısı ile birlikte, gelişmiş robotik geliştirme için kompakt, yüksek performanslı bir Edge AI Bilgisayarıdır. NVIDIA Jetson Orin NX 16GB modülü etrafında inşa edilen bu sistem, Super\/MAXN modunda çalışarak, selefine göre %1.7'lik bir iyileşme ile 157 TOPS'a kadar AI performansı sunmaktadır. Sistem, çoklu sensörlerden gelen karmaşık verileri işlemek için sağlam bir robotik beyin sağlayarak, sorunsuz dağıtım için önceden JetPack 6.2 ve Linux BSP ile kurulmuştur; GMSL kameraları da dahil olmak üzere.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin NX 16GB (Super\/MAXN modu) ile 157 TOPS'a kadar AI performansı.\u003c\/li\u003e\n\u003cli\u003eÖnceden kurulmuş JetPack 6.2 ve Linux BSP; hızlı dağıtım için yazılım hazır ekosistem.\u003c\/li\u003e\n\u003cli\u003eZengin robotik G\/Ç: çift RJ-45 Gigabit Ethernet, 6x USB 3.2 Tip-A (5Gbps), 1x USB 3.0 Tip-C (Host\/DP 1.4), 1x USB 2.0 Tip-C (Sadece Cihaz Modu için Yeniden Yükleme\/Hata Ayıklama), 2x CAN0 (XT30(2+2)), 3x CAN1 (4-Pin GH-1.25), UART, I2C, LED'ler, delik butonları ve DIP anahtarı.\u003c\/li\u003e\n\u003cli\u003eM.2 genişletme: Wi‑Fi\/Bluetooth için E Anahtarı, 4G\/5G için B Anahtarı, NVMe SSD için M PCIe Anahtarı.\u003c\/li\u003e\n\u003cli\u003eKullanıma hazır GMSL uzantısı, JetPack'te birden fazla kamerayı destekler; gösterilen 4x GMSL (6Gbps).\u003c\/li\u003e\n\u003cli\u003eEndüstriyel güç ve termal tasarım: XT30 üzerinden geniş 19–54V DC girişi, reComputer Robotics soğutucu fanı ile –20℃~60℃ (25W modu) ve –20℃~55℃ (MAXN modu) arasında güvenilir çalışma.\u003c\/li\u003e\n\u003cli\u003eKomple ve hafif: 115mm x 115mm x 38mm, 200g; masa veya duvara montaj.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ch3\u003eModül\u003c\/h3\u003e\u003c\/td\u003e\n\u003ctd\u003ereComputer Robotics J4012\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUygulama İşlemcisi (AP)\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin™ NX 16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e\n\u003ctd\u003eOrin NX 16GB – 157 TOPS (MAXN)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e32 Tensor Core ile 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Maksimum Frekansı\u003c\/td\u003e\n\u003ctd\u003e1173 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e8 çekirdekli NVIDIA Arm® Cortex A78AE v8.2 64 bit CPU, 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Maksimum Frekansı\u003c\/td\u003e\n\u003ctd\u003e2.0 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL Hızlandırıcı\u003c\/td\u003e\n\u003ctd\u003e2 x NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL Maksimum Frekansı\u003c\/td\u003e\n\u003ctd\u003e1.23 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGörüş Hızlandırıcı\u003c\/td\u003e\n\u003ctd\u003e1 x PVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e16GB 128 bit genişliğinde LPDDR5 DRAM 102.4GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Modları\u003c\/td\u003e\n\u003ctd\u003e10W - 15W - 25W - 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Kodlama\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 (H.265); 3x 4K30 (H.265); 6x 1080p60 (H.265); 12x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Dekodlama\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 (H.265); 2x 4K60 (H.265); 4x 4K30 (H.265); 9x 1080p60 (H.265); 18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCSI Kamera\u003c\/td\u003e\n\u003ctd\u003eEn fazla 4 kamera (sanalsal kanallar ile 8); 8 hat MIPI CSI‑2; D‑PHY 2.1 (en fazla 20Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül Mekaniği\u003c\/td\u003e\n\u003ctd\u003e69.6mm x 45mm; 260‑pin SO‑DIMM konektörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ch3\u003eTaşıyıcı Kart\u003c\/h3\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M PCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ – M.2 Anahtar E\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E WiFi\/Bluetooth modülü için\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ – M.2 Anahtar B\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar B 5G modülü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e2x RJ‑45 Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e6x USB 3.2 Tip‑A (5Gbps); 1x USB 3.0 Tip‑C (Host\/DP 1.4); 1x USB 2.0 Tip‑C (Sadece Cihaz Modu için Yeniden Yükleme\/Hata Ayıklama)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCAN\u003c\/td\u003e\n\u003ctd\u003e2x CAN0 (XT30(2+2)); 3x CAN1 (4-Pin GH‑1.25 Header)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEkran\u003c\/td\u003e\n\u003ctd\u003e1x DP1.4 (Tip C Host)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUART\u003c\/td\u003e\n\u003ctd\u003e1 x UART 4-Pin GH‑1.25 Header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eI2C\u003c\/td\u003e\n\u003ctd\u003e2x I2C 4-Pin GH‑1.25 Başlık\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan\u003c\/td\u003e\n\u003ctd\u003e1x 4‑Pin Fan Bağlantısı (5V PWM); 1x 4‑Pin Fan Bağlantısı (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUzatma Portu\u003c\/td\u003e\n\u003ctd\u003e1x Kamera Genişletme Başlığı (GMSL2 kartı için)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2‑pin; 1x RTC Soketi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED\u003c\/td\u003e\n\u003ctd\u003e3x LED (PWR, ACT ve Kullanıcı LED'i)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePinhole Düğmesi\u003c\/td\u003e\n\u003ctd\u003e1x PWR; 1x RESET\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDIP Anahtarı\u003c\/td\u003e\n\u003ctd\u003e1x REC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAnten\u003c\/td\u003e\n\u003ctd\u003e5x Anten Deliği\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Girişi\u003c\/td\u003e\n\u003ctd\u003e19‑54V XT30(2+2) (XT30'dan 5525 DC Jack Kablosu dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetPack Versiyonu\u003c\/td\u003e\n\u003ctd\u003eJetPack 6.html\n2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Mekanik (Sistem) \u003c\/td\u003e\n\u003ctd\u003e 115mm x 115mm x 38mm \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Ağırlık \u003c\/td\u003e\n\u003ctd\u003e 200g \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Kurulum \u003c\/td\u003e\n\u003ctd\u003e Masa, Duvara montaj \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Çalışma Sıcaklığı \u003c\/td\u003e\n\u003ctd\u003e -20℃~60℃ (25W Modu); -20℃~55℃ (MAXN Modu) (fanlı reComputer Robotics soğutucu ile) \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Garanti \u003c\/td\u003e\n\u003ctd\u003e 2 Yıl \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Sertifika \u003c\/td\u003e\n\u003ctd\u003e RoHS, CE, FCC, KC (Beklemede) \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e JetPack'te Desteklenen Kameralar \u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e Üretici \u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e Model \u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e Çözünürlük \u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Algılama \u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/SG3S-ISX031C-GMSL2F-p-6245.html\"\u003e SG3S‑ISC031C‑GMSL2F \u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e 1920H*1536V \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Algılama \u003c\/td\u003e\n\u003ctd\u003e SG2‑AR0233C‑5200‑G2A \u003c\/td\u003e\n\u003ctd\u003e 1920H*1080V \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Algılama \u003c\/td\u003e\n\u003ctd\u003eSG2‑IMX390C‑5200‑G2A\u003c\/td\u003e\n\u003ctd\u003e1920Y*1080D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlgılama\u003c\/td\u003e\n\u003ctd\u003eSG8S‑AR0820C‑5300‑G2A\u003c\/td\u003e\n\u003ctd\u003e3840Y*2160D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrbbec\u003c\/td\u003e\n\u003ctd\u003eOrbbec Gemini 335Lg\u003c\/td\u003e\n\u003ctd\u003e3D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cp\u003eOtonom mobil robotlar (AMR'ler), akıllı perakende, endüstriyel otomasyon, video gözetimi ve akıllı video analizi gibi zorlu kenar AI bilgisayarlı görü görevleri için tasarlanmıştır.Jetson Platform Services, NVIDIA Jetson üzerinde Edge AI uygulamalarının geliştirilmesini, dağıtımını ve yönetimini basitleştirir (e.g., birden fazla USB kamerasıyla BEV algılama demoları). NVIDIA Isaac platformu, AMR'ler, manipülasyon kolları, insansı robotlar ve daha fazlasını oluşturmak için CUDA hızlandırmalı kütüphaneler, uygulama çerçeveleri ve AI modelleri sağlar.\u003c\/p\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson Orin™ NX 16GB modülü x 1\u003c\/li\u003e\n\u003cli\u003eGMSL Uzantılı Seeed Taşıyıcı Kart (reComputer Robotics J401) x 1\u003c\/li\u003e\n\u003cli\u003e128GB NVMe SSD x 1\u003c\/li\u003e\n\u003cli\u003eFanlı Alüminyum Kasa ve Soğutucu x 1\u003c\/li\u003e\n\u003cli\u003eUSB Kablosu; Tip A'dan Tip C'ye x 1\u003c\/li\u003e\n\u003cli\u003eXT30'dan DC kablosu x 1\u003c\/li\u003e\n\u003cli\u003eKullanıcı Kılavuzu x 1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_robotics_J401_user_manual.pdf\" target=\"_blank\"\u003eKullanıcı Kılavuzu \u0026ve Veri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Robotics%20J401_V1.0_SCH_250421.pdf\" target=\"_blank\"\u003eTaşıyıcı Kart Şeması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Power%20board%20for%20reComputer%20Robotics_V1.0_SCH_250507.pdf\" target=\"_blank\"\u003eGüç Kartı Şeması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/GMSL%20board%20for%20reComputer%20Robotics_V1.0_SCH_250717.pdf\" target=\"_blank\"\u003eGMSL Kartı Şeması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/recomputer_robotics_j401.stp\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Mechanical_reComputer_Robotics_PCBA.dxf\" target=\"_blank\"\u003eTeknik Doküman – reComputer Robotics PCBA\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed_NVIDIA_Jetson_Catalog_in_Robotics_and_Edge_AI.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNVIDIA Jetson Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Başarı Hikayeleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRoHS, CE, FCC, KC\u003c\/td\u003e\n\u003ctd\u003e(Beklemede)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"J4012 GMSL AI Computer, Jetson Orin NX offers 157 TOPS AI performance, open-source hardware, GMSL support, perfect for manipulators, humanoid robots, and generative AI.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J4012-GMSL-AI-Computer-GBD0Z.webp?v=1761981396\"\u003e\u003cp\u003eJetson Orin NX (MAXN) 157 TOPS AI performansı, açık kaynak donanım, GMSL desteği ile, manipülatörler, insansı robotlar ve üretken AI uygulamaları için idealdir.\u003c\/p\u003e\u003cimg alt=\"J4012 GMSL AI Computer, Jetson Commercial Modules offer high-performance options featuring Super Mode with up to 1024 CUDA Cores and a peak frequency of 1173 MHz.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J4012-GMSL-AI-Computer-kWvpU.webp?v=1761981483\"\u003e\u003cp\u003eJetson Ticari Modüller Performans Karşılaştırması:\n* ORIN NANO:\n\t+ Süper Mod: 512 CUDA Çekirdeği, 16 Tensor Çekirdeği, 20 TOPS (Seyrek)\n\t+ CPU: 1.5 GHz, SPEC int hızı: 106\n\t+ DRAM BW: 34 GBIs\n\t+ Modül Gücü: 7W | IOw\n* ORIN NANO I6g8:\n\t+ Süper Mod: 1024 CUDA Çekirdeği, 32 Tensor Çekirdeği, 117 TOPS (Seyrek)\n\t+ CPU: 2.0 GHz, SPEC int hızı: 167\n\t+ DRAM BW: 102 GBIs\n\t+ Modül Gücü: 25W | IOw\n* ORIN NX:\n\t+ Süper Mod: 512 CUDA Çekirdeği, 16 Tensor Çekirdeği, 20 TOPS (Seyrek)\n\t+ CPU: 1.5 GHz, SPEC int hızı: 106\n\t+ DRAM BW: 34 GBIs\n\t+ Modül Gücü: 7W | IOw\u003c\/p\u003e\u003cimg alt=\"The J4012 GMSL AI Computer features CAN, USB 3.2, Ethernet, UART, IIC, power, and debug\/display ports for robotics applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J4012-GMSL-AI-Computer-k6lJy.webp?v=1761981518\"\u003e\u003cp\u003eJ4012 GMSL AI Bilgisayarı, robotik için CAN0\/CAN1, USB 3.2, Ethernet, UART, IIC, DC güç ve hata ayıklama\/görüntüleme portlarını içerir.\u003c\/p\u003e\u003cimg alt=\"The J4012 GMSL AI Computer offers versatile connectivity with USB, Ethernet, M.2 slots, camera expansion, RTC socket, USB Type-C, and DIP switch for broad integration and expansion options.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j4012-gmsl-ai-computer-lqotq.webp?v=1761981565\"\u003e\u003cp\u003eJ4012 GMSL AI Bilgisayarı, 6x USB 3.2 portu, 2x RJ45 Ethernet, M.2 Anahtar B\/E\/M yuvaları, Kamera Genişletme Bağlantısı, RTC pil soketi, Type-C USB 2.0 ve çok yönlü bağlantı ve genişleme için DIP anahtarı içerir.\u003c\/p\u003e\u003cimg alt=\"J4012 GMSL AI Computer, AI performance reaches up to 157 TOPS with NVIDIA Jetson Orin NX 16GB.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J4012-GMSL-AI-Computer-DcBke.webp?v=1761981584\"\u003e\u003cimg alt=\"J4012 GMSL AI Computer, NVIDIA Isaac combines GROOT models, Omniverse simulation, and ROS on Jetson for advanced humanoid, manipulation, and mobile robotics development.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J4012-GMSL-AI-Computer-2RXF5.webp?v=1761981615\"\u003e\u003cp\u003eNVIDIA Isaac platformu, insansı, manipülasyon ve mobil robot iş akışları için GROOT N Modelleri, Omniverse'de Sim ve Jetson'da ROS'u entegre eder.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"wi-Fi\/BLE\/LTE için \/ Orin NX + 16GB \/ GMSL ile","offer_id":48080698474720,"sku":"100026552","price":1412.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-100001302_recomputer_robotics_j3011_with_gmsl_extension.jpg?v=1761978237"},{"product_id":"recomputer-industrial-j3010-fanless-edge-ai-device-with-jetson-orin-nano-4gb","title":"reComputer Industrial J3010 Fansız Edge AI Bilgisayarı, NVIDIA Jetson Orin Nano 4GB, 20 TOPS, çift GbE PoE","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer Industrial J3010, 20 TOPS AI performansı sunan NVIDIA Jetson Orin™ Nano 4GB modülü üzerine inşa edilmiş bir Edge AI Bilgisayarıdır. 2 RJ-45 Ethernet portu (birinde PoE PSE), birleştirilmiş RS232\/RS422\/RS485 seri portu ve CAN dahil olmak üzere hibrit bağlantı özellikleri entegre eder, ayrıca zengin USB ve görüntü arayüzleri sunar. Fanless, pasif soğutma tasarımı ve çok yönlü montaj seçenekleri (masa, DIN rayı, duvar, VESA), zorlu ortamlarda ve ağır iş yüklerinde dağıtım imkanı sağlar. Sistem, -20 ~ 60°C aralığında (0.7m\/s hava akışı ile) çalışır ve enerji verimlidir (10W – 20W).\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSSD notu:\u003c\/strong\u003e SSD'ler için, Seeed, JetPack sürüm uyumluluğu farklılıkları nedeniyle 128GB, 256GB veya 512GB NVMe M.2 2280 modellerinin kullanılmasını önermektedir.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin Nano 4GB (20 TOPS) ile 512 çekirdekli Ampere GPU ve 16 Tensor Core.\u003c\/li\u003e\n\u003cli\u003e6 çekirdekli Arm Cortex-A78AE 64-bit CPU (1.5MB L2 + 4MB L3); 4GB 64-bit LPDDR5, 34 GB\/s.\u003c\/li\u003e\u003cli\u003eÇift RJ-45 GbE: LAN1 PoE PSE (802.3 af, 15 W) ile; LAN2 10\/100\/1000 Mbps.\u003c\/li\u003e\n\u003cli\u003eEndüstriyel G\/Ç: 1x DB9 (RS232\/RS422\/RS485), 4x DI, 4x DO, 1x CAN, birden fazla GND hattı.\u003c\/li\u003e\n\u003cli\u003eUSB: 3x USB 3.2 Gen1 Tip-A; 1x USB 2.0 Tip-C (Cihaz modu); 1x USB 2.0 Tip-C Hata Ayıklama UART \u0026amp; RP2040.\u003c\/li\u003e\n\u003cli\u003eEkranlar ve kameralar: 1x HDMI (ürün resmine göre HDMI 2.0), 1x DP; 2x CSI (2-yol, 15-pin).\u003c\/li\u003e\n\u003cli\u003eDepolama: 1x M.2 Anahtar M PCIe yuvası (M.2 NVMe 2280 SSD 128G dahildir).\u003c\/li\u003e\n\u003cli\u003eGenişletme: 4G\/LoRaWAN® için Mini PCIe (isteğe bağlı), 4G\/5G için M.2 Anahtar B (isteğe bağlı), Wi‑Fi\/Bluetooth desteği (özelleştirilmiş), TPM 2.0 konektörü, RTC soketi (CR1220 dahildir).\u003c\/li\u003e\n\u003cli\u003eSIM: 1x Nano SIM kart yuvası.\u003c\/li\u003e\n\u003cli\u003eGüç: 2-pin terminal bloğu üzerinden DC 12V–24V; 19V güç adaptörü dahildir (AC üçgen kablo yok).\u003c\/li\u003e\n\u003cli\u003eMekanik: 159mm x 155mm x 57mm; 1.57kg; montaj seçenekleri: masa, DIN rayı, duvar, VESA.\u003c\/li\u003e\n\u003cli\u003eÇevresel: -20 ~ 60°C (0 ile birlikte.7m\/s hava akışı), 40°C'de %95 (yoğuşmasız), 3 Grms titreşim, 50G darbe.\u003c\/li\u003e\n\u003cli\u003eAçık Kaynak Donanım ve ürün görsellerine göre enerji verimli çalışma (10W – 20W).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYapay Zeka performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e20 TOPS (Jetson Orin Nano 4GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16 Tensor Core ile 512 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm® Cortex®-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR5, 34 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo kodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1–2 CPU çekirdeği tarafından desteklenen 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo kod çözücü\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eTaşıyıcı Kart\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M PCIe (M.2 NVMe 2280 SSD 128G dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x LAN1 RJ45 GbE PoE (PSE 802.3 af, 15 W); 1x LAN2 RJ45 GbE (10\/100\/1000 Mbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e3x USB 3.2 Gen1; 1x USB 2.0 Type‑C (Cihaz modu); 1x USB 2.0 Type‑C Hata Ayıklama UART için \u0026amp; RP2040\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI Tip A (HDMI 2.0 ürün resmi için); 1x DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4‑pin fan konektörü (5V PWM); fansız pasif soğutucu\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDI\/DO \u0026amp; CAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x DI; 4x DO; 3x GND_DI; 2x GND_DO; 1x GND_ISO; 1x CAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCOM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x DB9 (RS232\/RS422\/RS485)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSIM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x Nano SIM kart yuvası\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMini PCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMini PCIe 4G\/LoRaWAN® için (Modül isteğe bağlı)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWi‑Fi\/Bluetooth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSMD Wi‑Fi\/Bluetooth desteği (Özel üretim; iletişim için order@seeed.cc)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 Anahtar B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eM.2 Anahtar B 4G\/5G destekler (Modül isteğe bağlı)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTPM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x TPM 2.0 konektör (Modül isteğe bağlı)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRTC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RTC soketi (CR1220 dahil); 1x RTC 2‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2‑şerit, 15‑pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç girişi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC 12V–24V, 2‑pin terminal bloğu\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç adaptörü\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e19V Güç Adaptörü (güç kablosu olmadan)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç tüketimi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10W – 20W (ürün görsellerine göre)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoyutlar (G x D x Y)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e159mm x 155mm x 57mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğırlık\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1.57kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKurulum\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMasa, DIN rayı, duvara montaj, VESA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-20 ~ 60°C ile 0.7m\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma nemi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e95% @ 40°C (yoğunlaşmayan)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTitreşim\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e3 Grms @ 5 ~ 500 Hz, rastgele, 1 saat\/ekseni\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eŞok\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e50G pik ivme (11 msec)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGaranti\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 Yıl\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003ch3\u003eTam Sistem\u003c\/h3\u003e\u003cp\u003e\u003cimg alt=\"The J3010 Edge AI Computer features multiple connectivity options and is built for reliable industrial applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3010-Edge-AI-Computer-apANS.webp?v=1762002109\"\u003e\u003c\/p\u003e\u003ch3\u003eTaşıyıcı Kart\u003c\/h3\u003e\u003cp\u003e\u003cimg alt=\"J3010 Edge AI Computer, Compact edge computing module with M.2, SODIMM, CSI, and expansion options; supports AI, industrial applications, Wi-Fi\/Bluetooth, and multiple interfaces in a versatile design. (24 words)\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3010-Edge-AI-Computer-KI9aj.webp?v=1762002133\"\u003e\u003c\/p\u003e\u003ch3\u003eMasada, Duvara Montaj, DIN Rayı, VESA montajı ile her yere uyum sağlar\u003c\/h3\u003e\u003cp\u003e\u003cimg alt=\"J3010 Edge AI Computer, Hybrid connectivity features include Ethernet, RS232\/RS422\/RS485, CAN, and USB.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3010-Edge-AI-Computer-KvQKe.webp?v=1762002149\"\u003e\u003c\/p\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003ch3\u003eUygulama Alanları\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eAI Video Analitiği\u003c\/li\u003e\n\u003cli\u003eMakine Görüşü\u003c\/li\u003e\n\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003cli\u003eÜretken AI\u003c\/li\u003e\u003c\/ul\u003e\u003ch3\u003eÜretken AI'yi Kenara Getirme Yeteneğine Sahip\u003c\/h3\u003e\u003cp\u003e\u003cimg alt=\"J3010 Edge AI Computer, Shelf collapsed, boxes fell at 3:30 PM, blocking aisle in warehouse.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-5osPw.webp?v=1762002173\"\u003e\u003c\/p\u003e\u003cp\u003eGörüntü-Dil Modelleri ile büyük hacimli canlı veya arşivlenmiş videoları ve görüntüleri işleyen AI ajanları oluşturun (e.g., LLaVA) doğal dil kullanarak özetleme, arama ve içgörü çıkarma işlemleri için.\u003c\/p\u003e\u003ch3\u003eÇoklu Akış AI Video Analitiği Oluşturun\u003c\/h3\u003e\u003cp\u003e\u003cimg alt=\"J3010 Edge AI Computer, DeepStream detects cars with high confidence at ~60 FPS, operating in blocking mode with NVMMLite for efficient, stable performance under load.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-hb1Lw.webp?v=1762002216\"\u003e\u003c\/p\u003e\u003cp\u003eJetson Orin platformları, SD, HD ve UltraHD (4K\/8K dahil) içeriklerin video çözümlemesini hızlandırmak için NVIDIA Çoklu Standart Video Decoder'ı entegre etmektedir.\u003c\/p\u003e\u003ch3\u003eÜretken AI ve Bilgisayarla Görme Modellerini Dağıtmanın En Hızlı Yolu\u003c\/h3\u003e\u003cp\u003e\u003cimg alt=\"J3010 Edge AI Computer, J3010 Edge AI supports Llama3, Ollama, LLaVA, Stable Diffusion, and Whisper for advanced on-device AI processing.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-XYKLf.webp?v=1762002245\"\u003e\u003c\/p\u003e\u003cp\u003eSeeed, Ollama, Llama3, VLM'ler, YOLOv8 ve daha fazlasını içeren kenar AI uygulamalarının tek komutla dağıtımı için \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\" target=\"_blank\"\u003ejetson-example\u003c\/a\u003e projeleri sunmaktadır. Tüm ortamlar, tek komutla dağıtımı sağlamak için önceden yapılandırılmıştır.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/AdpT0kwcPHo?si=DGXk_JL05r5kZoWR\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul class=\"documents_list\"\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-Industrial-Reference-Guide.pdf\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/reComputer%20Industrial%20J201_V1.2_SCH_240806.pdf\" target=\"_blank\"\u003eŞematik\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/Industrial\/reComputer-Industrial.stp\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/Industrial\/reComputer-Industrial-Assembly-Guide.pdf\" target=\"_blank\"\u003eMontaj Kılavuzu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/MTBF-18290KC40023301.pdf\" target=\"_blank\"\u003eMTBF Test Raporu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/OSHW-Jetson-Series\/tree\/main\/reComputer%20Jetson%20carrier%20board\/reComputer%20Industrial%20J201\" target=\"_blank\"\u003eGithub\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNvidia Jetson Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNvidia Jetson Ürün Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Başarı Vakaları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110110192-CE.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"J3010 Edge AI Computer, Purchase an AC power cord suitable for your region, such as US or EU.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-1kwZE.png?v=1762002260\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110110192-EUDOC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"EUDOC\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110110192-FCC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"FCC\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110110192-KC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"J3010 Edge AI Computer, Open source hardware with power-efficient operation.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-HmTSr.png?v=1762002280\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110110192-REACH.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"J3010 Edge AI Computer, Purchase the correct power cord for your region, available options include US and EU\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-CspsF.png?v=1762002295\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110110192-ROHS.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"J3010 Edge AI Computer, USB ports: 3x USB 3.2 Gen1 Type-A and 2x USB 2.0 Type-C (one for Device mode and one for Debug UART \u0026amp; RP2040).\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-kKHZR.png?v=1762002313\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110110192-UKDOC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"J3010 Edge AI Computer, The device has a 6-core Arm Cortex-A78AE CPU with 1.5MB L2 and 4MB L3 cache, along with 4GB LPDDR5 memory and a bandwidth of 34 GB\/s.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-lK6SG.png?v=1762002337\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110110192-UKCA.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"UKCA\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKCA.png\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSHSCODE\u003c\/strong\u003e\u003c\/td\u003e\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUPC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEUHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCOO\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ereComputer Endüstriyel J3010 (Sistem Yüklü)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMontaj braketleri\u003c\/td\u003e\n\u003ctd\u003ex2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDIN ray braketi\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBraket vidası\u003c\/td\u003e\n\u003ctd\u003ex4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDIO için 16-Pin Terminal Bloğu\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e19V Güç adaptörü (güç kablosu ayrı satılmaktadır)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2-Pin Terminal bloğu güç konektörü\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003e\u003cstrong\u003eGüç kablosu notu:\u003c\/strong\u003e Ürün bir güç adaptörü içerir ancak AC üçgen güç kablosu yoktur.Lütfen bölgeniz için uygun kabloyu satın alın:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/AC-US-p-5122.html\" target=\"_blank\"\u003eAC Cloverleaf Güç Kablosu – ABD\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/Power-Cord-EU-0-5m-p-6385.html\" target=\"_blank\"\u003eAC Cloverleaf Güç Kablosu – AB\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"J3010 Edge AI Computer, Elite Partner NVIDIA Jetson Orin Industrial Computer with AI, power efficient design, and various features including networking options.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3010-Edge-AI-Computer-GzjgY.webp?v=1762002396\"\u003e\u003cp\u003eElite Porter, NVIDIA'dan endüstriyel sınıf bir reComputer'dır. 20 TOPS performansına ve 4GB belleğe sahip Jetson Orin işlemcisini içerir. Bu fan'sız cihaz 59mm x 155mm x 70mm boyutlarındadır ve 20W düşük güç tüketimine sahiptir. HDMI, Ethernet, USB ve daha fazlası dahil olmak üzere çeşitli arayüzleri destekler.\u003c\/p\u003e\u003cimg alt=\"J3010 Edge AI Computer, WDAI device features LAN-PSE, HDMI, USB, SIM, and edge computing with reset option, supporting U5B3.2 and x3 devices.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-HCqwW.webp?v=1762002441\"\u003e\u003cp\u003eLani-PSE HDMI ve USB-ZO SIM sıfırlama için Kablosuz Veri Toplama Bağlantı Modülü (WDAL). Özellikler arasında U5B3.2 x3 cihaz, nano Bulton LAN2, USB-Z.0 kurtarma, DC girişi, ED COM DLX4 çalıştırma, DOx4 CAN XL hata ayıklama düğmesi, 12-24V güç, LED gösterge ve RS232\/RS422\/RS485 seri iletişim bulunmaktadır.\u003c\/p\u003e\u003cimg alt=\"J3010 Edge AI Computer, Offers M.2, CSI, SODIMM, TPM, UART, FAN, and RTC interfaces; supports Wi-Fi\/Bluetooth; includes DIP switches and memory connector for robust edge computing expansion. (24 words)\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-M2tsE.webp?v=1762002476\"\u003e\u003cp\u003eM.2 Anahtar B Mini PCIe, M.2 Anahtar M ve 2* CSI (2-yol 15pin) arayüzlerine sahiptir.260-pin SODIMM konektörü, TPM başlığı, kontrol ve UART başlığı, FAN başlığı ve 2-pin RTC bağlantısı içerir. Harici anten arayüzü ile isteğe bağlı Wi-Fi\/Bluetooth'u destekler. DIP anahtarları, RTC soketi ve bellek konektörü ile donatılmıştır. Kenar bilişim uygulamalarında sağlam bağlantı ve genişleme için tasarlanmıştır.\u003c\/p\u003e\u003cimg alt=\"J3010 Edge AI Computer, Storage includes M.2 Key M PCIe slot with 128GB M.2 NVMe 2280 SSD.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-mrF1o.webp?v=1762002496\"\u003e\u003cimg alt=\"J3010 Edge AI Computer, Shelf collapsed in aisle 3, boxes fell at 3:30 PM, blocking passage. Camera stream confirmed.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3010-Edge-AI-Computer-pW9af.webp?v=1762002519\"\u003e\u003cp\u003eAisle 3'te raf çöktü, kutular saat 15:30'da düştü ve geçişi engelledi. Kamera akışı bunu doğruladı.\u003c\/p\u003e\u003cimg alt=\"J3010 Edge AI Computer, Deepstream car detection using NVIDIA NvMMLiteOpen Block with PERF FPS 0 and Avg car 0.79.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-l9uFM.webp?v=1762002568\"\u003e\u003cp\u003eNvidia Deepstream araba demosu masaüstünde, 0 FPS kare hızı ve ortalama 0.79 kare hızı ile sunulmaktadır.\u003c\/p\u003e\u003cimg alt=\"J3010 Edge AI Computer, J3010 Edge AI supports Llama3, ollama, LLaVA, Stable Diffusion, Nanoowl, and Whisper for advanced on-device AI processing.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-E7g6L.webp?v=1762002598\"\u003e\u003cp\u003eJ3010 Edge AI, Llama3, ollama, LLaVA, Stable Diffusion, Nanoowl, Whisper'ı destekler.\u003c\/p\u003e\u003cimg alt=\"J3010 Edge AI Computer, Optional 4G\/LoRaWAN, M.2 Key B for 4G\/5G, Wi-Fi\/Bluetooth support, TPM and RTC socket connectivity.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J3010-Edge-AI-Computer-WhIIB.png?v=1762002615\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"J3010 Edge AI Computer, Environmental conditions: temperatures from -20 to 60°C, airflow at 0.7m\/s, humidity at 95% with no condensation.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-QqUsu.png?v=1762002637\"\u003e\u003cimg alt=\"J3010 Edge AI Computer, NVIDIA Jetson Orin platforms accelerate video decoding for SD, HD, and UltraHD content using Multi-Standard Video Decoder.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-XTsRd.png?v=1762002653\"\u003e\u003cimg alt=\"J3010 Edge AI Computer, Environmental conditions: -20 to 60 degrees Celsius with air flow and humidity.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j3010-edge-ai-computer-k6u0L.png?v=1762002669\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKCA.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"wi-Fi\/BLE\/LTE için \/ Orin Nano + 4GB \/ Güç Adaptörü ile GMSL Olmadan","offer_id":48080845013216,"sku":"110110192","price":1119.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-1100110188-110110191-recomputer-industrail-45font_7.jpg?v=1761981227"},{"product_id":"recomputer-mini-j4012-intelligent-edge-ai-computer-with-nvidia®-jetson™-orin™-nx-16gb","title":"reComputer Mini J4012 Edge AI Bilgisayarı, NVIDIA Jetson Orin NX 16GB, 100 TOPS, 128GB NVMe, PCIe, DP 1.4","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer Mini J4012, NVIDIA Jetson Orin NX 16GB modülü üzerine inşa edilmiş bir Edge AI Bilgisayarıdır ve 100 TOPS'a kadar AI performansı sunmaktadır. Kompakt sistem (63mm x 95mm x 42mm), bir Mini J401 taşıyıcı kartı, aktif soğutma ve muhafaza ile birlikte, alt kısmında PCIe genişletme arayüzü entegre edilmiştir. XT30 konektörü aracılığıyla DC girişi kabul eder ve dronlar, devriye robotları ve teslimat robotları gibi gömülü, batarya ile çalışan otonom makineler için tasarlanmıştır. JetPack 6.0, dahil edilen 128GB NVMe SSD üzerinde önceden yüklenmiştir ve Jetson yazılımının ve önde gelen AI çerçevelerinin hızlı bir şekilde dağıtımını sağlar. Masaüstü ve duvara montaj desteği sunar.\u003c\/p\u003e\u003ch2\u003eÖnemli Özellikler\u003c\/h2\u003e\u003ch3\u003eHarika AI performansı\u003c\/h3\u003e\u003cp\u003eNVIDIA Orin SoC ile 100 TOPS'a kadar, NVIDIA Ampere GPU mimarisi, 64-bit işletim yeteneği, entegre çok işlevli video\/görüntü işleme ve NVIDIA Derin Öğrenme Hızlandırıcıları ile birleştirilmiştir.\u003c\/p\u003e\u003ch3\u003eKenar dağıtımı için el boyutunda cihaz\u003c\/h3\u003e\u003cp\u003e63mm x 95mm x 42mm kompakt tasarım, NVIDIA Jetson Orin NX 16GB, Mini J401 taşıyıcı kart, fan ve muhafaza içerir; masaüstü ve duvara montajı destekler.\u003c\/p\u003e\u003ch3\u003eZengin I\/O ve genişletme\u003c\/h3\u003e\u003cp\u003eEn fazla 4x USB, DP 1.4, M.2 Anahtar E ve M.2 Anahtar M içerir. Opsiyonel genişletmeler 4x USB 3.0 Tip-A, çift CAN ve RJ-45 GbE (10\/100\/1000M) sağlar. \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-Mini-J4012-with-Extension-p-6353.html\" rel=\"noopener\" target=\"_blank\"\u003eGenişletme ile reComputer J4012'yi\u003c\/a\u003egörün.\u003c\/p\u003e\u003ch3\u003ePazara çıkış süresinin hızlandırılması\u003c\/h3\u003e\u003cp\u003e128GB NVMe SSD üzerinde önceden yüklenmiş JetPack 6.0 ile Linux OS BSP; Jetson yazılımını ve popüler AI çerçevelerini destekler.\u003c\/p\u003e\u003ch3\u003eÖlçeklenebilir filo dağıtımı\u003c\/h3\u003e\u003cp\u003eAllxon ve Balena tarafından desteklenen OTA ve uzaktan yönetim hizmetlerini destekler.\u003c\/p\u003e\u003ch3\u003eEsnek özelleştirme\u003c\/h3\u003e\u003cp\u003eÖzelleştirme seçenekleri, orijinal J4012 tasarımına dayalı olarak aksesuar\/modül değişiklikleri, logo ve donanım arayüzü modifikasyonlarını içerir.\u003c\/p\u003e\u003ch3\u003eAçık kaynak donanım\u003c\/h3\u003e\u003cp\u003eGeliştirme ve entegrasyon için açık kaynak donanım ekosistemi.\u003c\/p\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eJetson Orin Modül Sistemi\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e\n\u003ctd\u003eOrin NX 16GB, 100 TOPS'a kadar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e32 Tensor Core ile 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e8 çekirdekli Arm Cortex-A78AE v8.2 64-bit CPU (Orin NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR5 (Orin NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL Hızlandırıcı\u003c\/td\u003e\n\u003ctd\u003e2x NVDLA v2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Kodlama\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 (H.265) | 2x 4K60 (H.265) | 4x 4K30 (H.265) | 9x 1080p60 (H.265) | 18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Dekodlama\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 (H.265) | 2x 4K60 (H.265) | 4x 4K30 (H.265) | 9x 1080p60 (H.265) | 18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eTaşıyıcı Kart\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M PCIe (M.2 NVMe 2242 SSD 128G dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E WiFi\/Bluetooth modülü için\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.2 Tip-A (10Gbps); 1x USB 2.0 Mikro-B (Cihaz Modu); 1x USB 3.2 Tip-C (Ana Mod); 1x USB 2.0 JST-5pin (Ana Mod)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUART\u003c\/td\u003e\n\u003ctd\u003e1x UART; 1x Hata Ayıklama UART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEkran\u003c\/td\u003e\n\u003ctd\u003e1x DP 1.4 (Type-C konektöründe dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan\u003c\/td\u003e\n\u003ctd\u003e1x 4‑pin fan konektörü (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDüğmeler\u003c\/td\u003e\n\u003ctd\u003e1x Reset; 1x Recovery\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUzatma Portu\u003c\/td\u003e\n\u003ctd\u003e2x 60‑pin yüksek hızlı konektörler (uzatma kartı için); 1x 10‑pin güç konektörü (uzatma kartı için)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2‑pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç\u003c\/td\u003e\n\u003ctd\u003e1x XT30 Konektörü (12–54V DC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyutlar (G x D x Y)\u003c\/td\u003e\n\u003ctd\u003e63mm x 95mm x 42mm (uzatma olmadan); yükseklik 66.7mm (uzatma ile)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğırlık\u003c\/td\u003e\n\u003ctd\u003e345g (uzatma olmadan)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKurulum\u003c\/td\u003e\n\u003ctd\u003eMasada, duvara montaj\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma Sıcaklığı\u003c\/td\u003e\n\u003ctd\u003e‑10℃ ~ 50℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGaranti\u003c\/td\u003e\n\u003ctd\u003e1 Yıl\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003ch3\u003eMasaüstü, duvar montajı, genişletilebilir veya her yere sığabilir\u003c\/h3\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003ch3\u003eRobotik Kontrol\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eÜretken AI'yi kenara getirme yeteneği\u003c\/li\u003e\n\u003cli\u003eÇoklu akış AI video analitiği oluşturun; Orin NX video dekoderi SD\/HD\/UltraHD (8K, 4K, vb.) destekler; reComputer J4012, 18x1080p30 akış alabilir\u003c\/li\u003e\n\u003cli\u003eÜretken AI (e.g., Ollama, Llama3) ve bilgisayarla görme modellerinin hızlı dağıtımı (e.g., YOLOv8) tek satırlık jetson örnek projeleri\u003c\/li\u003e\n\u003c\/ul\u003e\u003ciframe src=\"https:\/\/www.youtube.com\/embed\/UlcHC2XVgIk?si=8jr-45Gt-Fj3zGgs\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/AdpT0kwcPHo?si=yw_fo2F6JggCfhR2\" width=\"560\"\u003e\u003c\/iframe\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_mini_datasheet_V1.0.pdf\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/mini\/reComputer_Mini_SCH.7z\" target=\"_blank\"\u003eŞematik\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/mini\/reComputer_Mini_3D.7z\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNvidia Jetson Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNvidia Jetson Ürün Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed Nvidia Jetson Başarı Vakaları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\u003cdiv class=\"certification\"\u003e\n\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102111001-CE.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102111001-EUDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102111001-FCC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102111001-ROHS.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"reMini Edge AI Computer, Fleet deployment supports over-the-air updates and remote management through partnerships with Allxon and Balena.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reMini-Edge-AI-Computer-TmTzs.png?v=1762006211\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102111001-UKDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn\/seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ereComputer Mini J4012\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAnten\u003c\/td\u003e\n\u003ctd\u003ex2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eXT30'dan DC güç konektörüne\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"reMini Edge AI Computer, Jetson Orin NX 16GB offers 100 TOPS AI performance, open-source hardware, wide temperature range, USB, WiFi\/Bluetooth; optional extras for robotics and autonomous machines.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reMini-Edge-AI-Computer-1KyxE.webp?v=1762006255\"\u003e\u003cp\u003eJetson Orin NX 16GB, 100 TOPS AI performansı, açık kaynak donanım, geniş sıcaklık aralığı, USB, WiFi\/Bluetooth; robotik ve otonom makineler için isteğe bağlı ekler.\u003c\/p\u003e\u003cimg alt=\"reMini Edge AI Computer, Reset power input from 9 to 60V with multiple USB and CAN bus interfaces.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reMini-Edge-AI-Computer-jilQy.webp?v=1762006315\"\u003e\u003cp\u003e9-60V aralığında güç kaynağı cihazını sıfırlayın. Cihaz, bir ana bilgisayar ve DP USB 2.0 portu ile birlikte, cihaz modu iletişimi için bir micro-B UART 1 arayüzü sunmaktadır. Cihaz ayrıca UART hata ayıklama kurtarma desteği sağlar ve 20 J40 mini, 2x USB 3.2 Type-A ve 4x USB 3.0 Type-A olmak üzere birden fazla USB portuna sahiptir; hızları 5 Gbps'ye kadar çıkmaktadır. Ayrıca, CAN+, güç Ethernet, IIC\/IIC SPI arayüzleri ve debus T\/Mart F\/A iletişim seçenekleri sunmaktadır.\u003c\/p\u003e\u003cimg alt=\"reMini Edge AI Computer, Shelf collapsed in aisle 3 at 3:30 PM, boxes fell and blocked passage; incident confirmed by camera footage.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reMini-Edge-AI-Computer-wnYsk.webp?v=1762006348\"\u003e\u003cp\u003eAisle 3'te raf çöktü, kutular saat 15:30'da düştü ve geçişi engelledi. Kamera akışı olayı doğruladı.\u003c\/p\u003e\u003cimg alt=\"reMini Edge AI Computer, A computer product image shows a car in action, with Nvidia desktop performance details: 0.73 FPS, avg. 0.79.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reMini-Edge-AI-Computer-LTPO6.webp?v=1762006402\"\u003e\u003cp\u003eNVIDIA Deepstream araç performans metrikleri: FPS 0, ortalama 0.79. Engelleme modunda açılıyor. Satıcı ID: tegra. Durum: NvMMLiteBlockCreate Block.\u003c\/p\u003e\u003cimg alt=\"reMini Edge AI Computer, reMini Edge AI supports Llama3, ollama, LLaVA, Stable Diffusion, and Whisper for advanced on-device AI processing.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reMini-Edge-AI-Computer-BO4SO.webp?v=1762006435\"\u003e\u003cp\u003ereMini Edge AI, Llama3, ollama, LLaVA, Stable Diffusion, Whisper'ı desteklemektedir.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Orin NX \/ 16GB \/ Without","offer_id":48081077567712,"sku":"102111001","price":1259.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/7-recomputer-mini-j3040-_without-expansion-board_-feature.jpg?v=1762004484"},{"product_id":"recomputer-j3010b-edge-ai-computer-with-nvidia-jetson-orin-nano-4gb","title":"reComputer Classic J3010B Edge AI Bilgisayarı, NVIDIA Jetson Orin Nano 4GB, 128GB NVMe SSD, HDMI, USB 3.2, GbE ile","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer Classic J3010B, NVIDIA Jetson Orin Nano 4GB modülü üzerine inşa edilmiş bir Edge AI Bilgisayarıdır. 2x USB 3.2 Type-A (10Gbps), 1x USB2.0 Type-C (Cihaz Modu), 1x HDMI 2.1, 1x Gigabit Ethernet (10\/100\/1000M), 2x CSI kamera konektörü, SSD için M.2 Key M, Wi‑Fi modülü için M.2 Key E*, LTE modülü için mini‑PCIe*, CAN, 40-pin genişletme başlığı ve 12-pin kontrol\/UART başlığı ile zengin I\/O'ya sahip kompakt, üretime hazır bir tasarımı entegre eder. Cihaz, önceden yüklenmiş 128GB NVMe SSD ile birlikte gelir, −10~60 °C aralığında çalışır ve 5525 DC jakı aracılığıyla DC 9–19V ile beslenir. JetPack 5.1.3 ve Linux OS BSP önceden yüklenmiştir ve JetPack 6.2'yi destekler. Sertifikalar arasında CE, FCC, KC, UKCA, REACH ve RoHS bulunmaktadır. Üretim ömrü en az 2032 yılına kadar devam etmektedir.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003ch3\u003eEn Güçlü Gömülü AI Platformunu Oluşturun\u003c\/h3\u003e\u003cp\u003eJetson Orin Nano modülü ile uyumlu olup, 67 TOPS'a kadar performans sunar — işletim sistemini kendiniz güncellemeniz gerekmektedir. Süper modda güç tüketimi 25W'dır.\u003c\/p\u003e\u003ch3\u003eGeliştirme ve Üretim için Tasarım\u003c\/h3\u003e\u003cp\u003eZengin bir I\/O seti ile donatılmıştır: 2x USB3.2, HDMI, Ethernet, M.2 Anahtar M, M.2 Anahtar E, mini‑PCIe, 40‑pin GPIO vb. Wi‑Fi ve LTE dahil olmak üzere birden fazla kablolu ve kablosuz iletişimi destekler.\u003c\/p\u003e\u003ch3\u003eHızla Pazar Girişi\u003c\/h3\u003e\u003cp\u003eÖnceden yüklenmiş JetPack 5.1.3, Linux OS BSP hazır, JetPack 6.2 desteği. Sertifikalar arasında ROHS, CE, FCC, KC, UKCA, REACH bulunmaktadır.\u003c\/p\u003e\u003ch3\u003eUzun Süreli Tedarik\u003c\/h3\u003e\u003cp\u003eÜretim Süresi: en az 2032 yılına kadar.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNot:\u003c\/strong\u003e Wi‑Fi ve LTE modülü ek satın alma gerektirir, paket içinde yer almamaktadır.\u003c\/p\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eParametre\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eAçıklama\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eDonanım Özellikleri\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÜrün Serisi\u003c\/td\u003e\n\u003ctd\u003ereComputer J3010B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül\u003c\/td\u003e\n\u003ctd\u003eJetson Orin Nano 4GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYapay Zeka Performansı\u003c\/td\u003e\n\u003ctd\u003e20 TOPS; süper modda 34 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e512 çekirdekli NVIDIA Ampere mimarisi GPU, 16 Tensor Çekirdeği ile\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Maksimum Frekansı\u003c\/td\u003e\n\u003ctd\u003e625 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm® Cortex®-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Maksimum Frekansı\u003c\/td\u003e\n\u003ctd\u003e1.5 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR5; 34 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd\u003eönceden yüklenmiş 128GB NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Kodlayıcı\u003c\/td\u003e\n\u003ctd\u003e1–2 CPU çekirdeği ile desteklenen 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Çözücü\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 (H.265); 2x 4K30 (H.265); 5x 1080p60 (H.265); 11x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eArayüzler\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEkran\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCSI\u003c\/td\u003e\n\u003ctd\u003e2x CSI （2-yol 15pin）\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğ Bağlantısı\u003c\/td\u003e\n\u003ctd\u003e1x Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.2 Tip-A (10Gbps); 1x USB2.0 Tip-C (Cihaz Modu)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Anahtar M\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M için SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Anahtar E\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E için Wi‑Fi modülü*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003emini‑PCIe\u003c\/td\u003e\n\u003ctd\u003e1x mini‑PCIe LTE modülü için*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan\u003c\/td\u003e\n\u003ctd\u003e1x JST 4pin Fan Bağlantısı (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCAN\u003c\/td\u003e\n\u003ctd\u003e1x CAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇok Fonksiyonlu Port\u003c\/td\u003e\n\u003ctd\u003e1x 40-Pin Genişletme başlığı; 1x 12-Pin Kontrol ve UART başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003eRTC 2-pin; RTC soketi (CR1220* destekler)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Kaynağı\u003c\/td\u003e\n\u003ctd\u003eDC 9–19V 5525 DC jakı üzerinden\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eStandartlar\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBelgelendirme\u003c\/td\u003e\n\u003ctd\u003eCE, FCC, KC, TELEC; UKCA, REACH, RoHS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eOrtam Koşulları\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma Sıcaklığı\u003c\/td\u003e\n\u003ctd\u003e-10~60 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eDiğerleri\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyut\u003c\/td\u003e\n\u003ctd\u003e130mm x120mm x 58.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğırlık\u003c\/td\u003e\n\u003ctd\u003e451.9g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGaranti\u003c\/td\u003e\n\u003ctd\u003e2 yıl\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÜretim Süresi\u003c\/td\u003e\n\u003ctd\u003e2032'ye kadar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAçıklama\u003c\/td\u003e\n\u003ctd\u003e* ile işaretlenmiş seçenekler ek satın alma gerektirir\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003cp\u003e\u003cimg alt=\"reComputer Classic J3010B, Hardware Overview\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-bTEGq.png?v=1762049193\"\u003e\u003c\/p\u003e\u003ch2\u003eUygulama\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAkıllı Sokak Lambası\u003c\/strong\u003e\u003cbr\u003eAkıllı sokak lambaları, trafik akışını sensörlerle izler ve daha iyi trafik kontrolü için verileri iletir. Güneş enerjisi entegre eder, gece kullanımı için enerji depolar ve fazla enerjiyi şebekeye verebilir.\u003cbr\u003e\u003cimg alt=\"reComputer Classic J3010B, Smart Lamppost\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-qaTdu.png?v=1762049204\"\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eElektrikli Araç Pil Değiştirme\/Yükleme Sistemi\u003c\/strong\u003e\u003cbr\u003ePil değiştirme, elektrikli araçların menzil kaygısını azaltır. Akıllı şebekeye bağlı şarj istasyonları, şarj sürelerini optimize eder. Bazı elektrikli araçlar ayrıca şebekeye enerji sağlayabilir.\u003cbr\u003e\u003cimg alt=\"reComputer Classic J3010B, EV Battery Swapping\/Charging\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-ouQnO.png?v=1762049216\"\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAkıllı Geri Dönüşüm Merkezi\u003c\/strong\u003e\u003cbr\u003eGeri dönüşüm kutalarındaki sensörler, atık toplama seferlerini azaltır. Enerji verimli ekipman, yoğun olmayan saatlerde çalışır ve geri dönüştürülmüş malzemeler akıllı şebeke ve elektrikli araç bileşenleri için kullanılır.\u003cbr\u003e\u003cimg alt=\"Smart Recycling\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-aauzP.webp?v=1762049235\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cdiv class=\"documents_list\"\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer_J401B_datasheet_v1.pdf\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer_J401B_CarrierBoard_SCH_V1.0.pdf\" target=\"_blank\"\u003eTaşıyıcı Kart Şeması\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer_J401B_LTE_SCH_V1.0.pdf\" target=\"_blank\"\u003eLTE Kart Şemaları\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNVIDIA Jetson Ürün Karşılaştırması\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Başarı Hikayeleri\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\u003cdiv class=\"certification\"\u003e\n\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114993486-CE.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"CE\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/CE.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114993486-EUDOC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"EUDOC\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114993486-FCC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"FCC\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114993486-ROHS.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"reComputer Classic J3010B, AI computer with NVIDIA Jetson Orin Nano, 4GB RAM, 128GB storage, and ports for HDMI, USB, and Ethernet.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-KJWvm.png?v=1762049261\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114993486-UKDOC.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"UKDOC\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eParça Listesi\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd\u003eNVIDIA Jetson Orin™ modülü\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed taşıyıcı kartı (reComputer J401B）\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e128GB NVMe SSD\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFanlı alüminyum soğutucu\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSiyah alüminyum kasa\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Adaptörü（12V\/5A）\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eNot: Wi‑Fi ve LTE modülü ek satın alma gerektirir, pakete dahil değildir.\u003c\/p\u003e\u003ch2\u003eDetaylar\u003c\/h2\u003e\u003cimg alt=\"reComputer Classic J3010B, Compact computing with M.2, USB 3.2, HDMI, Ethernet, SIM, LTE, GPIO, I2C, UART, CAN, PoE, dual cameras, DC power, and RTC—extensive connectivity and expansion in a small form factor.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-4XaX7.webp?v=1762049304\"\u003e\u003cp\u003eÖzellikler M.2 yuvaları, USB 3.2, HDMI, Gigabit Ethernet, SIM yuvası, LTE için mini-PCIE, GPIO, I2C, UART, CAN, PoE, çift MIPI-CSI kameralar, DC güç jakı ve RTC soketi—kapsamlı bağlantı ve genişletme seçenekleri ile kompakt hesaplama.\u003c\/p\u003e\u003cimg alt=\"reComputer Classic J3010B, Smart lamppost with camera, microphone, LED panel, and acoustic system\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-MtHG0.webp?v=1762049329\"\u003e\u003cp\u003eKamera, mikrofon, LED panel ve akustik sistem ile akıllı aydınlatma direği\u003c\/p\u003e\u003cimg alt=\"reComputer Classic J3010B, Charging stations on the smart grid optimize charging times.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-DMmzO.webp?v=1762049346\"\u003e\u003cimg alt=\"reComputer Classic J3010B, Wi-Fi and LTE modules require separate purchase.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-yLTqx.webp?v=1762049364\"\u003e\u003cimg alt=\"reComputer Classic J3010B, AI computer with NVIDIA Jetson Orin Nano, 4GB RAM, 128GB storage, and ports for HDMI, USB, and Ethernet.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-2L78F.jpg?v=1762049382\"\u003e\u003cimg alt=\"reComputer Classic J3010B, AI computer with NVIDIA Jetson Orin Nano, 4GB RAM, 128GB storage, and interfaces for HDMI, USB, and Gigabit Ethernet.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-60lOp.jpg?v=1762049401\"\u003e\u003cimg alt=\"reComputer Classic J3010B, Board designed for development and production with various I\/Os including USB3.2, HDMI, Ethernet, and more.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-06TRP.jpg?v=1762049419\"\u003e\u003cimg alt=\"ReComputer Classic J3010B features NVIDIA Jetson Orin Nano, 4GB RAM, 128GB storage, and interfaces for HDMI, USB, and Gigabit Ethernet.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/reComputer-Classic-J3010B-C6wZY.jpg?v=1762049438\"\u003e","brand":"Seeed Studio","offers":[{"title":"wi-Fi\/BLE\/LTE için \/ Orin Nano + 4GB \/ Güç Adaptörü ile GMSL Olmadan","offer_id":48081090019552,"sku":"114993486","price":709.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1-114993488-recomputer-j4011b-carrier-board.jpg?v=1762007156"},{"product_id":"recomputer-robotics-j3011-with-gmsl-extension-intelligent-edge-ai-computer-with-nvidia-jetson-orin-nano-super-8gb","title":"reComputer Robotics J3011 GMSL Uzantılı – NVIDIA Jetson Orin Nano Super 8GB ile Güçlendirilmiş Edge AI Bilgisayarı","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer Robotics J3011, gelişmiş robotik geliştirme için tasarlanmış bir Edge AI Bilgisayarıdır. NVIDIA Jetson Orin modülleri ile Super\/MAXN modunda uyumludur ve önceden JetPack 6.2 ve Linux BSP ile kurulmuştur. Jetson Orin Nano 8GB modülü (Super\/MAXN) ile sistem, 67 TOPS'a kadar AI performansı sunar ve selefine göre 1.7 kat iyileşme sağlar. Platform, GMSL kameraları da dahil olmak üzere karmaşık sensör verilerini işlemek için güçlü bir robotik beyin olarak işlev görmektedir.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eKompakt boyutta artırılmış AI performansı:\u003c\/strong\u003e NVIDIA Jetson Orin NX 16GB modülünü Super\/MAXN modunda kullanırken 157 TOPS'a kadar AI performansı; Jetson Orin Nano 8GB (Super\/MAXN) ile 67 TOPS'a kadar.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobotik için zengin arayüzler:\u003c\/strong\u003e Çift RJ45 Gigabit Ethernet, 5G\/Wi‑Fi\/Bluetooth modülleri için M.2 yuvaları, 6x USB 3.2, 2x CAN, GMSL2 (ek satın alma), I2C ve UART.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eEndüstriyel sınıf güç ve termal tasarım:\u003c\/strong\u003e –20 °C ile 60 °C arasında 25 W modunda güvenilir çalışma ve MAXN modunda 55 °C'ye kadar geniş 19–54 V DC girişi ile mobil ve endüstriyel robot ortamları için uygundur.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eYazılım hazır ekosistem:\u003c\/strong\u003e JetPack 6.2 ve Linux BSP önceden yüklenmiş, kesintisiz dağıtım için; AMR'ler, manipülatörler, insansı robotlar ve daha fazlasını inşa etmek için Isaac Sim ile birleştirilebilir.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKullanıma hazır GMSL uzantısı:\u003c\/strong\u003e JetPack'te birden fazla kamera için GMSL desteği sağlar ve kullanıma hazır entegrasyon sunar.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetson modülleri Super modda performans:\u003c\/strong\u003e Geliştirilmiş güç yönetimi, daha yüksek kare hızı işleme ve azaltılmış çıkarım süresi.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ch3\u003eModül\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ereComputer Robotics J3011\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUygulama İşlemcisi (AP)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin Nano 8GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYapay Zeka Performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOrin Nano 8GB – 67 TOPS (MAXN)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32 Tensor Core ile 1024 çekirdekli NVIDIA Ampere mimarisi GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Maks Frekansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1020 MHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli Arm Cortex-A78AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU Maks Frekansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1.7 GHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit genişliğinde LPDDR5 DRAM (68GB\/s'ye kadar; 102 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç Profilleri\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7W \/ 15W \/ 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Kodlama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1–2 CPU çekirdeği tarafından desteklenen 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Dekodlama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 (H.265); 2x 4K30 (H.265); 5x 1080p60 (H.265); 11x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCSI Kamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 adede kadar kamera (sanalsal kanallar üzerinden 8); 8 hat MIPI CSI-2; D-PHY 2.1 (20Gbps'ye kadar)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMekanik (Modül)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e69.6mm x 45mm; 260-pin SO-DIMM konektörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eTaşıyıcı Kart\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M (PCIe)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ – M.2 Anahtar E\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E için WiFi\/Bluetooth modülü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ – M.2 Anahtar B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar B için 5G modülü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x RJ-45 Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6x USB 3.2 Tip‑A (5Gbps); 1x USB 3.0 Tip‑C (Host\/DP 1.4); 1x USB 2.0 Tip‑C (Cihaz modu için yeniden flaşla\/hata ayıklama)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CAN0 (XT30(2+2)); 3x CAN1 (4-Pin GH‑1.25 Header)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x DP1.4 (Tip‑C Host)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUART\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x UART (4-Pin GH‑1.25 Header)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI2C\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x I2C (4-Pin GH‑1.25 Başlık)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4‑Pin Fan Bağlantısı (5V PWM); 1x 4‑Pin Fan Bağlantısı (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUzatma Portu\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x Kamera Genişletme Başlığı (GMSL2 kartı için)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRTC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2‑pin; 1x RTC Soketi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLED\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e3x LED (PWR, ACT, Kullanıcı)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eİnce Düğmeler\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x PWR; 1x RESET\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDIP Anahtarı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x REC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAnten Delikleri\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5x Anten deliği\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç Girişi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e19–54V XT30(2+2) üzerinden (XT30'dan 5525 DC Jack kablosu dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eJetPack Versiyonu\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetPack 6.html\n2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e Mekanik (Sistem) \u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e 115mm x 115mm x 38mm; 200g; kurulum: masa veya duvara montaj \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e Çalışma Sıcaklığı \u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e –20℃ ~ 60℃ (25W modu); –20℃ ~ 55℃ (MAXN modu) – reComputer Robotics fanlı soğutucu ile \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e Garanti \u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e 2 Yıl \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e Sertifika (Beklemede) \u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e RoHS, CE, FCC, KC \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003e JetPack'te Desteklenen Kameralar \u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e Üretici \u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e Model \u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e Çözünürlük \u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Algılama \u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/SG3S-ISX031C-GMSL2F-p-6245.html\"\u003e SG3S-ISC031C-GMSL2F \u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e 1920H*1536V \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Algılama \u003c\/td\u003e\n\u003ctd\u003e SG2-AR0233C-5200-G2A \u003c\/td\u003e\n\u003ctd\u003e 1920H*1080V \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Algılama \u003c\/td\u003e\n\u003ctd\u003e SG2-IMX390C-5200-G2A \u003c\/td\u003e\n\u003ctd\u003e1920Y*1080D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlgılama\u003c\/td\u003e\n\u003ctd\u003eSG8S-AR0820C-5300-G2A\u003c\/td\u003e\n\u003ctd\u003e3840Y*2160D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrbbec\u003c\/td\u003e\n\u003ctd\u003eOrbbec Gemini 335Lg\u003c\/td\u003e\n\u003ctd\u003e3D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003cp\u003eArka panel ve taşıyıcı kart düzenleri, CAN0\/CAN1, çift RJ45 Ethernet, USB 3. için etiketli erişim sağlar.2\/Type‑C (DP1.4), UART, I2C, RTC pil soketi\/2-pin başlık, M.2 Anahtar E\/B\/M yuvaları, DIP anahtarı (REC) ve GMSL2 için Kamera Genişletme Başlığı.\u003c\/p\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software#:~:text=The%20software%20stack%20provides%20an%20end-to-end%20development%20workflow%2C,and%20CUDA-X%20accelerated%20libraries%20and%20other%20NVIDIA%20technologies.\"\u003e\u003cstrong\u003eJetson Yazılımı | NVIDIA Geliştirici\u003c\/strong\u003e\u003c\/a\u003e AI uygulama geliştirme ve dağıtımını hızlandırmak için tasarlanmıştır.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eEdge AI bilgisayarla görme uygulamaları için tasarlanmıştır:\u003c\/strong\u003e\u003ca href=\"https:\/\/docs.nvidia.com\/jetson\/jps\/moj-overview.html\"\u003eJetson Platform Hizmetleri\u003c\/a\u003e, NVIDIA Jetson üzerinde Edge AI uygulamalarının geliştirilmesini, dağıtımını ve yönetimini basitleştirir (e.g., 4 GMSL kamerası ile BEV algılama demosu).\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTalepkar AI uygulamaları için tasarlanmıştır:\u003c\/strong\u003e AMR, akıllı perakende, endüstriyel otomasyon, video gözetimi ve akıllı video analizi senaryoları. \u003ca href=\"https:\/\/developer.nvidia.com\/isaac\"\u003eNVIDIA Isaac\u003c\/a\u003e platformu, AMR'ler, manipülatörler, insansı robotlar ve daha fazlasını inşa etmek için CUDA hızlandırmalı kütüphaneler, uygulama çerçeveleri ve AI modelleri sunar.\u003c\/p\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_robotics_J401_user_manual.pdf\" target=\"_blank\"\u003eKullanıcı Kılavuzu \u0026ve Veri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_robotics_J401_user_manual.pdf\" target=\"_blank\"\u003eTaşıyıcı Kart Şeması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Power%20board%20for%20reComputer%20Robotics_V1.0_SCH_250507.pdf\" target=\"_blank\"\u003eGüç Kartı Şeması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/GMSL%20board%20for%20reComputer%20Robotics_V1.0_SCH_250717.pdf\" target=\"_blank\"\u003eGMSL Kartı Şeması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/recomputer_robotics_j401.stp\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed_NVIDIA_Jetson_Catalog_in_Robotics_and_Edge_AI.pdf\" target=\"_blank\"\u003eMechanical Document – reComputer Robotics PCBA\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed_NVIDIA_Jetson_Catalog_in_Robotics_and_Edge_AI.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNVIDIA Jetson Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Başarı Hikayeleri\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd\u003e\u003cstrong\u003eÜrünler\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eMiktar\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin Nano 8GB modülü\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed Taşıyıcı Kart (reComputer Robotics J401) GMSL Uzantısı ile\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e128GB NVMe SSD\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlüminyum Kasa ve Fanlı Soğutucu\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Kablosu; Tip A'dan Tip C'ye\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eXT30'dan DC kablosu\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKullanım Kılavuzu\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-J4011-2.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-114110308_1.jpeg\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-robotic-2.jpeg\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-_J4011-6.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-_J401-7.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/AI-hardware\/image-J4012-1.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"Robotik J3011 + Orin Nano + 8GB \/ Wi-Fi\/BLE\/LTE için \/ GMSL ile Güç Adaptörü Olmadan","offer_id":48081098309856,"sku":"100001302","price":919.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-100001302_recomputer_robotics_j3011_with_gmsl_extension_1.jpg?v=1762008502"},{"product_id":"recomputer-j2022-w-o-power-adapter-edge-ai-computer-with-nvidia-jetson-xavier-nx-16gb","title":"reComputer J2022 (adaptörsüz) NVIDIA Jetson Xavier NX 16GB, 128GB NVMe SSD, 21 TOPS, HDMI\/DP ile Edge AI Bilgisayarı","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\n\u003cp\u003ereComputer J2022 (güç adaptörü olmadan), NVIDIA Jetson Xavier NX 16GB modülü etrafında inşa edilmiş kompakt bir Edge AI Bilgisayarıdır. Düşük gecikme ile 21 TOPS'a kadar AI performansı sunar ve 128GB NVMe SSD üzerinde JetPack 4.6.1 ile önceden yüklenmiştir. Sistem, J202 taşıyıcı kartını, aktif soğutma fanını ve alüminyum kasayı entegre eder. Zengin I\/O, 4x USB 3.1 Type-A, USB Type-C (cihaz modu), HDMI, DP, CSI kamera konektörleri, Gigabit Ethernet, CAN, 40-pin başlık aracılığıyla GPIO, Wi-Fi genişletmesi için M.2 Key E ve SSD için M.2 Key M içerir. Kasa, masaüstü ve duvara montajı destekler. Boyutlar: 130mm x 120mm x 58.5mm (kasa ile).\u003c\/p\u003e\n\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\n\u003cp\u003eNVIDIA Jetson Xavier NX SoC (Volta mimarisi GPU, NVIDIA Derin Öğrenme Hızlandırıcıları) tarafından desteklenen 21 TOPS'a kadar AI performansı\u003c\/p\u003e\n\u003cp\u003eEl boyutunda sistem: fan soğutmalı alüminyum kasa ile 130mm x 120mm x 58.5mm; masaüstü veya duvara montaj\u003c\/p\u003e\n\u003cp\u003eZengin genişletilebilirlik: 4x USB 3.1 Tip-A, 1x USB Tip-C (cihaz modu), 1x HDMI, 1x DP, 2x CSI kamera konektörleri, 1x RJ-45 GbE, CAN, 40-pin GPIO başlığı\u003c\/p\u003e\n\u003cp\u003eDepolama ve kablosuz genişletme: M.2 Anahtar M (NVMe, 128GB SSD dahil) ve M.2 Anahtar E (Wi-Fi modülleri için)\u003c\/p\u003e\n\u003cp\u003eHızlandırılmış geliştirme: JetPack 4.6.1 ve Linux BSP önceden yüklenmiş; Jetson yazılımını ve önde gelen AI çerçevelerini destekler\u003c\/p\u003e\n\u003cp\u003eFiloya dağıtım seçenekleri: Allxon ve Balena tarafından desteklenen OTA ve uzaktan yönetim hizmetlerini destekler\u003c\/p\u003e\n\u003cp\u003eEsnek özelleştirme: reComputer J2022 tasarımına dayalı aksesuarlar, logo ve donanım arayüzü modifikasyonları\u003c\/p\u003e\n\u003ch2\u003eÖzellikler\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI Performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e21 TOPS (Jetson Xavier NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e384 çekirdekli NVIDIA Volta mimarisi GPU, 48 Tensor Core ile\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 çekirdekli NVIDIA Carmel Arm v8.2 64-bit CPU, 6MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR4x, 59.7GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Kodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x 4K60 (H.265) | 4x 4K30 (H.265) | 10x 1080p60 (H.265) | 22x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Çözücü\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x 8K30 (H.265) | 6x 4K60 (H.265) | 12x 4K30 (H.265) | 22x 1080p60 (H.265) | 44x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar M PCIe (M.2 NVMe 2280 SSD 128GB dahil)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKablosuz Genişleme\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Anahtar E\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.1 Tip-A; 1x USB Tip-C (Cihaz Modu)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2-yol, 15-pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1; 1x DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4-pin Fan Bağlantısı (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x CAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPIO \/ Genişletme\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40-Pin Genişletme başlığı; 1x 12-Pin Kontrol ve UART başlığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRTC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2-pin; RTC soketi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e9-16V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMekanik\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130mm x 120mm x 58.5mm (kasa ile)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKurulum\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMasada, duvara montaj\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0℃~60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYazılım\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e128GB NVMe SSD üzerinde önceden yüklenmiş JetPack 4.6.1 ve Linux OS BSP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eNot (GPIO):\u003c\/strong\u003e 1.2V ile 2V arasında dalgalanan voltajlara neden olan GPIO kütüphanelerinin kullanılması, taşıyıcı kartta GPIO sorunlarına yol açabilir; normal voltaj 3V olmalıdır.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNot (SSD uyumluluğu):\u003c\/strong\u003e Optimal performans için, Seeed'den 128GB \/ 256GB \/ 512GB \/ 1TB NVMe SSD'ler kullanın. Bazı SSD'ler yalnızca belirli JetPack sürümleriyle uyumlu olabilir ve arızalara neden olabilir; bu sorun resmi NVIDIA geliştirme kitleri ile de meydana gelebilir.\u003c\/p\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ereComputer J2022 (Sistem Yüklü) x1 — güç adaptörü dahil değildir\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eUygulamalar\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eYapay Zeka Video Analitiği\u003c\/li\u003e\n\u003cli\u003eMakine Görüşü\u003c\/li\u003e\n\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eÇoklu Akış Yapay Zeka Video Analitiği\u003c\/h3\u003e\n\u003cp\u003eJetson Xavier NX, SD, HD ve UltraHD (8K, 4K vb.) üzerinden video işleme hızlandırmak için NVIDIA Çoklu Standart Video Decoder'ı entegre eder ve NVIDIA DeepStream ile ilgili araç zincirleri ile verimli çoklu akış analitiği sağlar.\u003c\/p\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/reComputer-Jetson-J202-w_o-power-adapter-datasheet.pdf\" target=\"_blank\"\u003ereComputer J202X (güç adaptörü olmadan) Veri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/reComputer-Jetson-J202-w_o-power-adapter-datasheet.pdf\" target=\"_blank\"\u003ereComputer J202 Taşıyıcı Kart Veri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNVIDIA Jetson Cihazları ve Taşıyıcı Kartlar Karşılaştırmaları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Donanım Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061483-CE.pdf\" target=\"_blank\"\u003eCE\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061483-EUDOC.pdf\" target=\"_blank\"\u003eAB DoC\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061483-FCC.pdf\" target=\"_blank\"\u003eFCC\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061483-KC.pdf\" target=\"_blank\"\u003eKC\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061483-REACH.pdf\" target=\"_blank\"\u003eREACH\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061483-ROHS.pdf\" target=\"_blank\"\u003eRoHS\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061483-UKDOC.pdf\" target=\"_blank\"\u003eUK DoC\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061483-UKCA.pdf\" target=\"_blank\"\u003eUKCA\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8471419000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEUHSCODE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8471800000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCOO\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\n\u003cp\u003eEtiketli konektörlere sahip reComputer J202 taşıyıcı kartını içerir: 4x USB 3.1, USB Type-C (cihaz), RJ-45 GbE, HDMI ve DP, 2x MIPI-CSI kamera portları, 40-pin genişletme başlığı (GPIO\/I2C\/UART), 12-pin kontrol ve UART başlığı, 4-pin fan başlığı, CAN, RTC 2-pin ve soket, M.2 Anahtar E ve M yuvaları, ve DC güç jakı. Tam sistem, masaüstü veya duvara montajlı kurulumlar için uygun alüminyum bir muhafaza içinde aktif soğutmayı entegre eder.\u003c\/p\u003e\n\u003ch2\u003eDetaylar\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.openai.com\/temp\/recomputer_j2022_infographic.jpg\"\u003e\u003cimg src=\"https:\/\/cdn.openai.com\/temp\/recomputer_j202_carrier_front.jpg\"\u003e\u003cimg src=\"https:\/\/cdn.openai.com\/temp\/recomputer_j202_carrier_back.jpg\"\u003e\u003cimg src=\"https:\/\/cdn.openai.com\/temp\/recomputer_j2022_case_internal.jpg\"\u003e\u003cimg src=\"https:\/\/cdn.openai.com\/temp\/recomputer_j2022_bottom_panel.jpg\"\u003e\u003cimg src=\"https:\/\/cdn.openai.com\/temp\/recomputer_j2022_deepstream_demo.gif\"\u003e\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"J2022 Xavier NX 16GB (güç adaptörü olmadan)","offer_id":48081686888672,"sku":"110061483","price":1049.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/110061402_1_2.png?v=1762073380"},{"product_id":"recomputer-j1020-v2-w-o-power-adapter-edge-ai-computer-with-nvidia-jetson-nano-4gb","title":"reComputer J1020 v2 (adaptörsüz) NVIDIA Jetson Nano 4GB, 0.5 TOPS, 16GB eMMC, M.2 Key M ile Edge AI Bilgisayarı","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003ereComputer J1020 v2 (güç adaptörü olmadan), NVIDIA Jetson Nano 4GB üretim modülü üzerine inşa edilmiş bir Edge AI Bilgisayarıdır ve el boyutunda bir alüminyum kasada 0.5 TOPS AI performansı sunmaktadır. JetPack 4.6.1 önceden yüklenmiş olarak gelir ve 16 GB eMMC ile birlikte gelir, ayrıca 2x CSI kamera konektörleri, 4x USB 3.0, HDMI, DP ve SSD genişletmesi için bir M.2 Key M yuvası dahil olmak üzere zengin I\/O sağlar.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano 4GB üretim modülü; 0.5 TOPS AI performansı\u003c\/li\u003e\n\u003cli\u003eÖnceden yüklenmiş NVIDIA JetPack 4.6.1\u003c\/li\u003e\n\u003cli\u003ePasif soğutucuya sahip kompakt alüminyum kasa\u003c\/li\u003e\n\u003cli\u003e16 GB eMMC depolama ve SSD için M.2 Key M PCIe\u003c\/li\u003e\n\u003cli\u003eZengin I\/O: 4x USB 3.0 Type-A, 2x CSI (2-yol 15-pin), 1x HDMI Type A, 1x DP\u003c\/li\u003e\n\u003cli\u003eGigabit Ethernet RJ-45 (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003e40-pin genişletme başlığı, 12-pin kontrol \u0026amp; UART başlığı, 4-pin fan konektörü (5V PWM), RTC\u003c\/li\u003e\n\u003cli\u003eGüç girişi: 9–12V DC\u003c\/li\u003e\n\u003cli\u003eBoyut: 130 mm x 120 mm x 58.5 mm (kasa ile); masa veya duvara montaj\u003c\/li\u003e\n\u003cli\u003eÜrün görsellerinden kartın öne çıkan özellikleri: USB Type-C, PoE işareti, CAN (Devre Dışı), M.2 Anahtar E (Devre Dışı), DC güç jakı\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd colspan=\"3\"\u003e\u003cstrong\u003eJetson Nano 4GB Modül üzerindeki Sistem\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI Performansı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eJetson Nano 4GB – 0.5 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eNVIDIA Maxwell™ mimarisi ile 128 NVIDIA CUDA® çekirdeği\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eDört çekirdekli ARM Cortex-A57 MPCore işlemci\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHafıza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e4 GB 64-bit LPDDR4, 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Kodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x 4K30 | 2x 1080p60 | 4x 1080p30 | 4x 720p60 | 9x 720p30 (H.265 \u0026ve H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Dekodlayıcı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 \u0026ve H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"3\"\u003e\u003cstrong\u003eTaşıyıcı Kart\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepolama\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x M.2 Anahtar M PCIe; 16 GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAğ Bağlantısı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"5\"\u003e\u003cstrong\u003eG\/Ç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.0 Tip-A; 1x Mikro-USB portu cihaz modu için (kart görüntüsü ayrıca USB Tip-C'yi de gösteriyor)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2-yol, 15-pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEkran\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI Tip A; 1x DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4-pin fan konektörü (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGenişletme\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40-pin genişletme başlığı; 1x 12-pin kontrol \u0026amp; UART başlığı; RTC konektörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGüç\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e9–12V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\"\u003e\u003cstrong\u003eMekanik\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eBoyutlar (G x D x Y)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130 mm x 120 mm x 58.5 mm (kasa ile)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKurulum\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMasaya, duvara montaj\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eÇalışma Sıcaklığı\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e0℃ ~ 60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eNotlar\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eResmi NVIDIA Jetson Nano Geliştirici Kiti EOL'a ulaşmıştır. reComputer J1020 v2, Jetson Nano Geliştirici Kiti kullanıcıları için bir yedek seçenektir.\u003c\/li\u003e\n\u003cli\u003eYüzer voltaj (1.2V–2V) indükleyen GPIO kütüphaneleri GPIO sorunlarına neden olabilir; normal voltaj ~3V olmalıdır. Bu sorun için garanti geçerli değildir. Detaylar için NVIDIA'nın resmi belgesine başvurun.\u003c\/li\u003e\n\u003cli\u003eBir güç adaptörü ile versiyon gerekiyorsa, bakınız: \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-J1020-v2-p-5498.html\" target=\"_blank\"\u003ereComputer J1020 v2 Edge cihazı\u003c\/a\u003e.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ereComputer J1020 v2 (Sistem Yüklü) x1\u003c\/li\u003e\n\u003cli\u003e3V RTC pili dahil değildir\u003c\/li\u003e\n\u003cli\u003eBu SKU, güç adaptörü olmadan gönderilmektedir\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBilgisayar Görüşü\u003c\/li\u003e\n\u003cli\u003eMakine Öğrenimi\u003c\/li\u003e\n\u003cli\u003eOtonom Mobil Robot (AMR)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgeler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer-J1020-v2-datasheet.pdf\" target=\"_blank\"\u003eVeri Sayfası\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/reComputer%20J202_V1.0_SCH_PDF_240822.pdf\" target=\"_blank\"\u003eŞematik\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer_Jetson_j1020_v2.stp\" target=\"_blank\"\u003e3D Dosya\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Ürün Kataloğu\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" target=\"_blank\"\u003eNVIDIA Jetson Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNVIDIA Jetson Ürün Karşılaştırması\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eSeeed NVIDIA Jetson Başarı Vakaları\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eSeeed Jetson Tek Sayfa\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471419000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eUPC\u003c\/td\u003e\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eABHS KODU\u003c\/td\u003e\n\u003ctd\u003e8471800000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061481-REACH.pdf\" target=\"_blank\"\u003eREACH\u003c\/a\u003e | \u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/110061481-ROHS.pdf\" target=\"_blank\"\u003eRoHS\u003c\/a\u003e\u003c\/p\u003e\u003ch2\u003eDonanım Genel Bakış\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-J202-Carrier-Board-for-Jetson-Xavier-NX-p-5397.html\" target=\"_blank\"\u003e\u003cstrong\u003ereComputer J202 taşıyıcı kartı\u003c\/strong\u003e\u003c\/a\u003e, tam sistem reComputer J1020 v2 içinde yer almaktadır.Masaüstü, duvara montaj, genişletilebilir, her yere uyum sağlar.\u003c\/p\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"J1020 Edge AI Computer, The reComputer J1020 v2 is a compact NVIDIA Jetson Nano-powered edge AI device with 0.5 TOPS performance, ideal for robotics and computer vision applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J1020-Edge-AI-Computer-JSJBM.webp?v=1762080529\"\u003e\u003cp\u003ereComputer J1020 v2, NVIDIA Jetson Nano 4GB ile güçlendirilmiş bir kenar AI bilgisayarıdır ve 0.5 TOPS AI performansı sunar. Jetson Nano B01 Geliştirici Kiti'ne alternatif olarak hizmet eder. Boyutları 130mm x 120mm x 58.5mm (kasa ile birlikte) olup, JetPack 4.6'yı destekler ve 9-12V DC güçle çalışır. Özellikleri arasında 1x HDMI, 1x DP, 4x USB 3.0 Type-A ve cihaz modu için 1x Micro-USB bulunmaktadır. SSD depolama için M.2 KEY M'yi destekler. Robotik ve bilgisayarla görme uygulamaları için tasarlanmış olup, kompakt, yüksek performanslı hesaplama gerektiren AI odaklı projeler için idealdir.\u003c\/p\u003e\u003cimg alt=\"The J1020 Edge AI Computer features various interfaces including UART, CAN, MIPI-CSI camera, USB, Ethernet, audio, and GPIO ports.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/j1020-edge-ai-computer-6hjfg.webp?v=1762080569\"\u003e\u003cp\u003eBu ürün, devre dışı modda bir kontrol ve UART CAN başlığı, bir RTC 2-pin fan başlığı ve bir MIPI-CSI kamera konektörü ile birlikte gelir. Ayrıca, GPIO, I2C ve UART protokollerini destekleyen Quinno 40-pin genişletme başlığına sahiptir. Ek olarak, USB3 için ISeeD 260-pin SODIMM arayüzü bulunmaktadır.0 bağlantı ile dört port, POE gigabit Ethernet portu, ekran ve HDMI bağlantıları, LED ışık göstergesi, DC güç jakı ve tek bir USB Type-C portu.\u003c\/p\u003e\u003cimg alt=\"The J1020 Edge AI Computer features M.2 slots, RTC socket, multiple connectors, CE\/FCC\/RoHS certifications, and Seeed Studio branding.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J1020-Edge-AI-Computer-xTpzZ.webp?v=1762080595\"\u003e\u003cp\u003eJ1020 Edge AI Bilgisayarı, M.2 KEY E (devre dışı), M.2 KEY M, RTC soketi, çoklu bağlantılar, CE, FCC, RoHS sertifikaları ve Seeed Studio markalaması içerir.\u003c\/p\u003e\u003cimg alt=\"J1020 Edge AI Computer, Computer J1020 v2 with NVIDIA Jetson Nano, 4GB RAM, 0.5 Tera Operations Per Second (TOPS), and 16GB storage.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/J1020-Edge-AI-Computer-2wumg.webp?v=1762080610\"\u003e","brand":"Seeed Studio","offers":[{"title":"Jetson Nano 4GB Güç Adaptörü Olmadan","offer_id":48081724309728,"sku":"110061481","price":399.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-110110144-recomputer-j4011-45font.jpg?v=1762078933"},{"product_id":"imx219-m12-cs-mount-cmos-camera-module","title":"Nvidia Jetson ve Raspberry Pi CM4 için IMX219 M12\/CS Montajlı CMOS Kamera Modülü, 8MP 3280×2464, 1080p30, 15\/22‑pin CSI","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eBu IMX219 M12\/CS montaj CMOS Kamera Modülü, Sony IMX219 8 Megapiksel arka aydınlatmalı sensör etrafında inşa edilmiştir ve Nvidia Jetson ile Raspberry Pi CM4 platformları için tasarlanmıştır. 2'si 1 arada montaj ile değiştirilebilir M12 ve CS-montaj lenslerini destekler ve esnek entegrasyon için 15 pinli ve 22 pinli seçeneklerle çift CSI (Kamera Seri Arayüzü) bağlantısı sağlar. 3280 × 2464 çözünürlükte sabit görüntüler ve 1080p30, 720p60 ve 640×480p90 çözünürlükte video sunar. CS'ten C'ye 5 mm adaptör halkası ile C-montaj lensleri de kullanılabilir.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBirçok lens seçeneği: M12 \u0026ve CS-montaj lensleri desteklenmektedir.\u003c\/li\u003e\u003cli\u003eSony MX219 sensörü: 8 Megapiksellik Arka aydınlatmalı CMOS, yüksek hassasiyet ile\u003c\/li\u003e\n\u003cli\u003eYüksek çözünürlük: 3280 x 2464 piksel statik görüntüler üretebilir\u003c\/li\u003e\n\u003cli\u003eHarika video performansı: 1080p30, 720p60 ve 640x480p90 ile kayıt yapma\u003c\/li\u003e\n\u003cli\u003eKolay entegrasyon: 15\/22-pin CSI (Kamera Seri Arayüzü) desteklenmektedir\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensor\u003c\/td\u003e\n\u003ctd\u003eSony IMX219 arka aydınlatmalı sensör\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMegapikseller\u003c\/td\u003e\n\u003ctd\u003e8 Megapiksel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensor çözünürlüğü\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464 piksel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensor görüntü alanı\u003c\/td\u003e\n\u003ctd\u003e3.68 x 2.76 mm (4.6 mm çapraz)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇapraz\u003c\/td\u003e\n\u003ctd\u003e4.60mm (Tip 1\/4.0)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePiksel boyutu\u003c\/td\u003e\n\u003ctd\u003e1.12 µm x 1.12 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo modları\u003c\/td\u003e\n\u003ctd\u003e1080p@30fps; 720p@60fps; 640×480p60\/90fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCSI portları\u003c\/td\u003e\n\u003ctd\u003e15-pin ve 22-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArayüz\u003c\/td\u003e\n\u003ctd\u003e15p-1.0 mipi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma güç kaynağı\u003c\/td\u003e\n\u003ctd\u003e3.3v(pin15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHassasiyet\u003c\/td\u003e\n\u003ctd\u003e600mV\/Lux-saniye\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaksimum Görüntü Aktarım Hızı\u003c\/td\u003e\n\u003ctd\u003eQSXGA için 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇıkış formatları\u003c\/td\u003e\n\u003ctd\u003e8\/10bit RGB HAM çıkış\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eS\/N Oranı\u003c\/td\u003e\n\u003ctd\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDinamizm Aralığı\u003c\/td\u003e\n\u003ctd\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLens montajları\u003c\/td\u003e\n\u003ctd\u003eM12 ve CS-montaj desteklenmektedir; C-montaj 5 mm CS-to-C adaptör halkası ile\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül boyutu\u003c\/td\u003e\n\u003ctd\u003e38 x 38 x 16mm (lens hariç)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eKıyaslama\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e\u003c\/th\u003e\n\u003cth\u003eKamera Modülü v2\u003c\/th\u003e\n\u003cth\u003eYüksek Kalite Kamera\u003c\/th\u003e\n\u003cth\u003eIMX 219 CMOS Kamera Modülü\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eStatik çözünürlük\u003c\/td\u003e\n\u003ctd\u003e8 Megapiksel\u003c\/td\u003e\n\u003ctd\u003e12.3 Megapiksel\u003c\/td\u003e\n\u003ctd\u003e8 Megapiksel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo modları\u003c\/td\u003e\n\u003ctd\u003e1080p@30fps; 720p@60fps; 640×480p60\/90fps\u003c\/td\u003e\n\u003ctd\u003e1080p@30fps; 720p@60fps; 640×480p@60\/90fps\u003c\/td\u003e\n\u003ctd\u003e1080p@30fps; 720p@60fps; 640×480p60\/90fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensor\u003c\/td\u003e\n\u003ctd\u003eSony IMX219\u003c\/td\u003e\n\u003ctd\u003eSony IMX477\u003c\/td\u003e\n\u003ctd\u003eSony IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensor çözünürlüğü\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464 piksel\u003c\/td\u003e\n\u003ctd\u003e4056 x 3040 piksel\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464 piksel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensor görüntü alanı\u003c\/td\u003e\n\u003ctd\u003e3.68 x 2.76 mm (4.6 mm çapraz)\u003c\/td\u003e\n\u003ctd\u003e6.287mm x 4.712 mm (7.9mm çapraz)\u003c\/td\u003e\n\u003ctd\u003e3.68 x 2.76 mm (4.6 mm çapraz)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePiksel boyutu\u003c\/td\u003e\n\u003ctd\u003e1.12 µm x 1.12 µm\u003c\/td\u003e\n\u003ctd\u003e1.55 µm x 1.55 µm\u003c\/td\u003e\n\u003ctd\u003e1.12 µm x 1.12 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOdak uzaklığı\u003c\/td\u003e\n\u003ctd\u003e3.04 mm\u003c\/td\u003e\n\u003ctd\u003elens'e bağlıdır\u003c\/td\u003e\n\u003ctd\u003elens'e bağlıdır\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYatay FOV\u003c\/td\u003e\n\u003ctd\u003e62.2 derece\u003c\/td\u003e\n\u003ctd\u003elens'e bağlıdır\u003c\/td\u003e\n\u003ctd\u003elens'e bağlıdır\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDikey FOV\u003c\/td\u003e\n\u003ctd\u003e48.8 derece\u003c\/td\u003e\n\u003ctd\u003elens'e bağlıdır\u003c\/td\u003e\n\u003ctd\u003elens'e bağlıdır\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOdak oranı (F-Stop)\u003c\/td\u003e\n\u003ctd\u003e2.0\u003c\/td\u003e\n\u003ctd\u003elens'e bağlıdır\u003c\/td\u003e\n\u003ctd\u003elens'e bağlıdır\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyut\u003c\/td\u003e\n\u003ctd\u003e25 x 23 x 9mm\u003c\/td\u003e\n\u003ctd\u003e38 x 38 x 18.4mm (lens hariç)\u003c\/td\u003e\n\u003ctd\u003e38 x 38 x 16mm (lens hariç)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDIY spor kamerası için geniş açılı lens\u003c\/li\u003e\n\u003cli\u003eGüvenlik sistemi izleme\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eNotlar \u0026ve Güvenlik\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eRaspberry Pi için, bu modül yalnızca Raspberry Pi CM4 (Compute Module 4) ile dev kartı destekler.\u003c\/li\u003e\n\u003cli\u003eBu modül Nvidia Jetson serisini destekler.\u003c\/li\u003e\u003cli\u003eTehlike: Kamera modülünü bağlamadan önce, lütfen CSI Pin tanımını bir kez daha kontrol edin, aksi takdirde FFC (Esnek Düz Kablo) veya bileşenlere zarar verebilir.\u003c\/li\u003e\n\u003cli\u003eLens takılı olmadığında, lütfen toz kapağının modül üzerinde kapalı olduğundan emin olun.\u003c\/li\u003e\n\u003cli\u003eRaspberry Pi Kamera Modülü 3'ü piyasaya sürdük. Daha fazla bilgi için satıcı bağlantısını ziyaret edin.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSSS\u003c\/h2\u003e\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eBu modül, Raspberry Pi CM4 dışında başka Raspberry Pi kartlarına bağlanabilir mi?\u003c\/strong\u003e\u003cbr\u003eHayır, bu modül yalnızca taşıyıcı kart ile Raspberry Pi CM4'ü desteklemektedir.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBu modüle C montaj lensi takabilir miyim?\u003c\/strong\u003e\u003cbr\u003eEvet, 5 mm adaptör halkası ile bu modülün CS montajına bir C-montaj lensi takılabilir.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBu modül Jetson nano'ya bağlanabilir mi?\u003c\/strong\u003e\u003cbr\u003eHayır, bu modül Jetson taşıyıcı kartına bağlıdır.\u003c\/li\u003e\u003c\/ol\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e1x IMX 219 Kamera sensör modülü\u003c\/li\u003e\n\u003cli\u003e1x CS lens montajı\u003c\/li\u003e\n\u003cli\u003e1x M12 lens montajı\u003c\/li\u003e\n\u003cli\u003e1x 15pin 125mm (4.92in) FFC (Esnek düz kablo)\u003c\/li\u003e\n\u003cli\u003e1x 22pin 150mm (5.9in) FFC\u003c\/li\u003e\n\u003cli\u003e1x Toz kapağı\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCSI 15 Pin Tanım Tablosu\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eNO.\u003c\/th\u003e\n\u003cth\u003e01\u003c\/th\u003e\n\u003cth\u003e02\u003c\/th\u003e\n\u003cth\u003e03\u003c\/th\u003e\n\u003cth\u003e04\u003c\/th\u003e\n\u003cth\u003e05\u003c\/th\u003e\n\u003cth\u003e06\u003c\/th\u003e\n\u003cth\u003e07\u003c\/th\u003e\n\u003cth\u003e08\u003c\/th\u003e\n\u003cth\u003e09\u003c\/th\u003e\n\u003cth\u003e10\u003c\/th\u003e\n\u003cth\u003e11\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\u003ctr\u003e\n\u003ctd\u003eSİMGE\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eCAM1-DN0\u003c\/td\u003e\n\u003ctd\u003eCAM1-DP0\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eCAM1-DN1\u003c\/td\u003e\n\u003ctd\u003eCAM1-DP1\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eCAM1-CN\u003c\/td\u003e\n\u003ctd\u003eCMA1-CP\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eCAM-GPIO\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eNO.\u003c\/th\u003e\u003cth\u003e12\u003c\/th\u003e\n\u003cth\u003e13\u003c\/th\u003e\n\u003cth\u003e14\u003c\/th\u003e\n\u003cth\u003e15\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\u003ctr\u003e\n\u003ctd\u003eSEMBOL\u003c\/td\u003e\n\u003ctd\u003eNC\u003c\/td\u003e\n\u003ctd\u003eSCL0\u003c\/td\u003e\n\u003ctd\u003eSDA0\u003c\/td\u003e\n\u003ctd\u003eVCC3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eCSI 22 Pin Tanım Tablosu\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eNO.\u003c\/th\u003e\n\u003cth\u003e01\u003c\/th\u003e\n\u003cth\u003e02\u003c\/th\u003e\n\u003cth\u003e03\u003c\/th\u003e\n\u003cth\u003e04\u003c\/th\u003e\n\u003cth\u003e05\u003c\/th\u003e\n\u003cth\u003e06\u003c\/th\u003e\n\u003cth\u003e07\u003c\/th\u003e\n\u003cth\u003e08\u003c\/th\u003e\n\u003cth\u003e09\u003c\/th\u003e\n\u003cth\u003e10\u003c\/th\u003e\n\u003cth\u003e11\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\u003ctr\u003e\n\u003ctd\u003eSEMBOL\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eCAM1-DN0\u003c\/td\u003e\n\u003ctd\u003eCAM1-DP0\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eCAM1-DN1\u003c\/td\u003e\n\u003ctd\u003eCAM1-DP1\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eCAM1-CN\u003c\/td\u003e\n\u003ctd\u003eCMA1-CP\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eCAM1-DN2\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eNO.\u003c\/th\u003e\u003cth\u003e12\u003c\/th\u003e\n\u003cth\u003e13\u003c\/th\u003e\n\u003cth\u003e14\u003c\/th\u003e\n\u003cth\u003e15\u003c\/th\u003e\n\u003cth\u003e16\u003c\/th\u003e\n\u003cth\u003e17\u003c\/th\u003e\n\u003cth\u003e18\u003c\/th\u003e\n\u003cth\u003e19\u003c\/th\u003e\n\u003cth\u003e20\u003c\/th\u003e\n\u003cth\u003e21\u003c\/th\u003e\n\u003cth\u003e22\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\u003ctr\u003e\n\u003ctd\u003eSIMGE\u003c\/td\u003e\n\u003ctd\u003eCAM1-DP2\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eCAM1-DN3\u003c\/td\u003e\n\u003ctd\u003eCAM1-DP3\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eCAM-GPIO\u003c\/td\u003e\n\u003ctd\u003eNC\u003c\/td\u003e\n\u003ctd\u003eGND\u003c\/td\u003e\n\u003ctd\u003eSCL0\u003c\/td\u003e\n\u003ctd\u003eSDA0\u003c\/td\u003e\n\u003ctd\u003eVCC3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102110719-EUDOC.pdf\" rel=\"noopener\" target=\"_blank\"\u003eAB DoC\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102110719-ROHS.pdf\" rel=\"noopener\" target=\"_blank\"\u003eRoHS\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/102110719-UKDOC.pdf\" rel=\"noopener\" target=\"_blank\"\u003eİngiltere DoC\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHS KODU\u003c\/td\u003e\n\u003ctd\u003e8525891900\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eABD HS KODU\u003c\/td\u003e\n\u003ctd\u003e8525895050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"IMX219 8MP CMOS Camera, IMX219 camera module with 8MP resolution, 1080p30 video, suitable for Nvidia Jetson and Raspberry Pi CM4.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-8MP-CMOS-Camera-yX4hw.webp?v=1762155265\"\u003e\u003cimg alt=\"IMX219 8MP CMOS Camera, Ensure the dust cap is securely sealed when no lens is attached to the camera module.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-8MP-CMOS-Camera-TraNf.webp?v=1762155295\"\u003e\u003cimg alt=\"IMX219 8MP CMOS Camera, No equipment information provided.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-8MP-CMOS-Camera-0gs7o.webp?v=1762155318\"\u003e\u003cimg alt=\"IMX219 8MP CMOS Camera, Ensure the dust cap is sealed on the module when no lens is attached.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-8MP-CMOS-Camera-uCd6t.webp?v=1762155337\"\u003e\u003cimg alt=\"IMX219 8MP CMOS Camera, This module can not connect to other Raspberry Pi boards apart from Raspberry Pi CM4.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-8MP-CMOS-Camera-kcG3v.webp?v=1762155356\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg alt=\"IMX219 8MP CMOS Camera, Pins with SYMBOL and NO. labels listed, including GND, CAM1-DN0 to CN, and CAM1-DP0 to CP, as well as CAM-GPIO\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-8MP-CMOS-Camera-YpoNb.png?v=1762155377\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e","brand":"RCDrone","offers":[{"title":"Default Title","offer_id":48082451136736,"sku":"102110719","price":26.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/102110719_all-04.jpg?v=1762154805"},{"product_id":"imx219-160ir-8mp-camera-with-160-fov-compatible-with-nvidia-jetson-nano-xavier-nx","title":"IMX219-160IR 8MP Kamera Modülü, 160° Görüş Açısı, IR LED’ler – NVIDIA Jetson Nano\/Xavier NX Geliştirme Kitleri için","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eIMX219-160IR 8MP kamera modülü, NVIDIA Jetson Nano ve NVIDIA Jetson Xavier NX geliştirme kitleri için tasarlanmıştır. 160 derece diyagonal görüş açısı (FOV) sunar ve gece görüşü görüntüleme için iki IR LED modülü entegre eder. Sony IMX219 sensörüne dayanan bu modül, 3280 × 2464 çözünürlüğe kadar destekler ve Jetson platformlarında makine görüşü projeleri için uygundur.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e8 megapiksel Sony IMX219 görüntü sensörü\u003c\/li\u003e\n\u003cli\u003eÇözünürlük: 3280 × 2464\u003c\/li\u003e\n\u003cli\u003e160° diyagonal FOV geniş açılı lens\u003c\/li\u003e\n\u003cli\u003eGece görüşü için iki IR LED modülü\u003c\/li\u003e\n\u003cli\u003eSabit odaklı optikler ve IR filtresi\u003c\/li\u003e\n\u003cli\u003eUyumlu \u003ca href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Nano-Development-Kit-B01-p-4437.html\" target=\"_blank\"\u003eNVIDIA Jetson Nano\u003c\/a\u003e ve \u003ca href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Xavier-NX-Developer-Kit-p-4573.html\" target=\"_blank\"\u003eNVIDIA Jetson Xavier NX\u003c\/a\u003e geliştirme kitleri\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAçıklama\u003c\/h2\u003e\u003cp\u003eBu 8MP kamera modülü, geniş alan yakalama için 160° diyagonal FOV sunar ve gece görüşü sağlamak için iki IR LED içerir.Düşük ışık veya karanlık ortamlarda, IR LED'leri insan gözüne görünmeyen ancak kamera tarafından algılanan kızılötesi ışık yayar ve monokrom video sağlar. Jetson Nano\/Xavier NX geliştirme kitleri ile birleştirildiğinde, zorlu projeler için pratik makine görüşü ve daha yüksek kaliteli video kaydı sağlar.\u003c\/p\u003e\u003ch2\u003eNVIDIA Jetson Nano\/Xavier NX Geliştirme Kitleri ile uyumlu daha fazla kamera\u003c\/h2\u003e\u003cp\u003eUygulamanıza en uygun kamerayı seçmek için aşağıdaki seçenekleri keşfedin:\u003c\/p\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-77-Camera-77-FOV-Applicable-for-Jetson-Nano-p-4608.html\" target=\"_blank\"\u003e114992260\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-77IR-Camera-77-FOV-Infrared-Applicable-for-Jetson-Nano-p-4607.html\" target=\"_blank\"\u003e114992261\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-130-Camera-130-FOV-Applicable-for-Jetson-Nano-p-4606.html\" target=\"_blank\"\u003e114992262\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-160-Camera-160-FOV-Applicable-for-Jetson-Nano-p-4603.html\" target=\"_blank\"\u003e114992263\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-160IR-Camera160-FOV-Infrared-Applicable-for-Jetson-Nano-p-4602.html\" target=\"_blank\"\u003e114992264\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-200-Camera-200-FOV-Applicable-for-Jetson-Nano-p-4609.html\" target=\"_blank\"\u003e114992265\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-83-Stereo-Camera-8MP-Binocular-Camera-Module-Depth-Vision-Applicable-for-Jetson-Nano-p-4610.html\" target=\"_blank\"\u003e114992270\u003c\/a\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDiagonal Görüş Açısı (FOV)\u0026\n\u003ctd\u003e77°\u003c\/td\u003e\n\u003ctd\u003e77°\u003c\/td\u003e\n\u003ctd\u003e130°\u003c\/td\u003e\n\u003ctd\u003e160°\u003c\/td\u003e\n\u003ctd\u003e160°\u0026\n\u003ctd\u003e200°\u003c\/td\u003e\n\u003ctd\u003e83°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIR LED Modülleri\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApertür\u003c\/td\u003e\n\u003ctd\u003e2.0\u003c\/td\u003e\n\u003ctd\u003e2.0\u003c\/td\u003e\n\u003ctd\u003e1.8\u003c\/td\u003e\n\u003ctd\u003e2.35\u003c\/td\u003e\n\u003ctd\u003e2.35\u003c\/td\u003e\n\u003ctd\u003e2.0\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOdak Uzunluğu\u003c\/td\u003e\n\u003ctd\u003e2.96mm\u003c\/td\u003e\n\u003ctd\u003e2.96mm\u003c\/td\u003e\n\u003ctd\u003e1.88mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e0.87mm\u003c\/td\u003e\n\u003ctd\u003e2.6mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLens Yapısı\u003c\/td\u003e\n\u003ctd\u003e4P\u003c\/td\u003e\n\u003ctd\u003e4P\u003c\/td\u003e\n\u003ctd\u003e4E+IR\u003c\/td\u003e\n\u003ctd\u003e6G+IR\u003c\/td\u003e\n\u003ctd\u003e6G+IR\u003c\/td\u003e\n\u003ctd\u003e1G4P+IR\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDistorsiyon\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;1%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;1%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;7.6%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;18.6%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;1%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEFL\u003c\/td\u003e\n\u003ctd\u003e2.93mm\u003c\/td\u003e\n\u003ctd\u003e2.93mm\u003c\/td\u003e\n\u003ctd\u003e1.85mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e0.9mm\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBFL (Optik)\u003c\/td\u003e\n\u003ctd\u003e1.16mm\u003c\/td\u003e\n\u003ctd\u003e1.16mm\u003c\/td\u003e\n\u003ctd\u003e1.95mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e1.41mm\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ch3\u003eSürücü kartı ile kamera modülü\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eÖzellikler\u003c\/th\u003e\n\u003cth\u003eAçıklama\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMegapikseller\u003c\/td\u003e\n\u003ctd\u003e8 Megapiksel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFotoğraf duyarlı çip\u003c\/td\u003e\n\u003ctd\u003eSony IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMontaj Tekniği\u003c\/td\u003e\n\u003ctd\u003eSMT (ROSH)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇözünürlük\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePiksel Boyutu\u003c\/td\u003e\n\u003ctd\u003e1.12µm x1.12µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCMOS boyutu\u003c\/td\u003e\n\u003ctd\u003e1\/4 inç\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApertür (F)\u003c\/td\u003e\n\u003ctd\u003e2.35\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOdak\u003c\/td\u003e\n\u003ctd\u003esabit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOdak Uzaklığı\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLens Yapısı\u003c\/td\u003e\n\u003ctd\u003e6G+IR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDiagonal Görüş Açısı (FOV)\u003c\/td\u003e\n\u003ctd\u003e160 derece\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDistorsiyon\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEFL\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBFL (Optik)\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaksimum Görüntü Aktarım Hızı\u003c\/td\u003e\n\u003ctd\u003e30 fps için QSXGA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇıkış Formatları\u003c\/td\u003e\n\u003ctd\u003e8\/10bit RGB RAW çıkışı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eS\/N Oranı\u003c\/td\u003e\n\u003ctd\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDinamik Aralık\u003c\/td\u003e\n\u003ctd\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDuyarlılık\u003c\/td\u003e\n\u003ctd\u003e600mV\/Lux-saniye\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGöreli Aydınlatma (Sensör)\u003c\/td\u003e\n\u003ctd\u003e70%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIR Filtre\u003c\/td\u003e\n\u003ctd\u003e650±10nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNesne Mesafesi\u003c\/td\u003e\n\u003ctd\u003e30CM-∞\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArayüz\u003c\/td\u003e\n\u003ctd\u003e15p-1.0 mipi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç kaynağı\u003c\/td\u003e\n\u003ctd\u003e3.3V (pin15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma Sıcaklığı\u003c\/td\u003e\n\u003ctd\u003e-20°C ile 70°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSıcaklık (Dengeli Görüntü)\u003c\/td\u003e\n\u003ctd\u003e0°C ile 50°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLens boyutu\u003c\/td\u003e\n\u003ctd\u003e6.5mm × 6.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül Boyutu\u003c\/td\u003e\n\u003ctd\u003e25mm × 24mm × 17.7±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch3\u003eIR LED Modülleri\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eÖzellikler\u003c\/th\u003e\n\u003cth\u003eAçıklama\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED Dalga Boyu\u003c\/td\u003e\n\u003ctd\u003e845nm-855nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED Modül FOV\u003c\/td\u003e\n\u003ctd\u003e100°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma akımı\u003c\/td\u003e\n\u003ctd\u003e200ma (maks 450ma)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç\u003c\/td\u003e\n\u003ctd\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç tüketimi\u003c\/td\u003e\n\u003ctd\u003e660mw (maks 1.48W)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül Boyutu\u003c\/td\u003e\n\u003ctd\u003e27.94mm × 19.82mm × 15.05mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma Sıcaklığı\u003c\/td\u003e\n\u003ctd\u003e-20°C ile 70°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama Sıcaklığı\u003c\/td\u003e\n\u003ctd\u003e0°C ile 60°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMontaj Tekniği\u003c\/td\u003e\n\u003ctd\u003eSMT (ROSH)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eİçerik\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e1 × IMX219-160IR 8MP IR Gece Görüş Kamerası, 160° FOV - NVIDIA Jetson Nano\/Xavier NX ile uyumlu\u003c\/li\u003e\n\u003cli\u003e2 × IR LED Modülleri\u003c\/li\u003e\n\u003cli\u003e4 × Vida\u003c\/li\u003e\n\u003cli\u003e4 × Somun\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eIR aydınlatma ile gece görüş görüntüleme\u003c\/li\u003e\n\u003cli\u003eNVIDIA Jetson Nano\/Xavier NX üzerinde geniş açılı makine görüşü\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992264-EUDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992264-ROHS.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"IMX219-160IR 8MP Camera, The 8MP camera module has an 8-megapixel sensor, 3280x2464 resolution, and a 160° diagonal FOV for wide-area capture with night vision capabilities.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-160IR-8MP-Camera-f3FVx.png?v=1762175953\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992264-UKDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8525801390\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8525895050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517600000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg alt=\"IMX219-160IR 8MP Camera, The camera module is based on the Sony IMX219 sensor, supporting up to 3280x2464 resolution for machine vision projects.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-160IR-8MP-Camera-bFEqt.png?v=1762175980\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"106° IR","offer_id":48082709512416,"sku":"114992264","price":35.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/160_ir_1_0d71108b-0bbf-4ba9-8d0b-84ff96240012.png?v=1762175415"},{"product_id":"imx219-77-8mp-camera-with-77-fov-compatible-with-nvidia-jetson-nano-xavier-nx","title":"IMX219-77 8MP Kamera Modülü, 77° FOV, NVIDIA Jetson Nano\/Xavier NX ile Uyumlu, 3280×2464, MIPI","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eIMX219-77 8MP kamera modülü, 77° görüş açısıyla NVIDIA Jetson Nano ve NVIDIA Jetson Xavier NX Geliştirme Kitleri ile uyumludur. Sony IMX219 görüntü sensörünü kullanır ve gömülü AI ve makine görüşü projeleri için yüksek çözünürlüklü fotoğraflar ve videolar destekler.\u003c\/p\u003e\n\u003ch2\u003eÖne Çıkan Özellikler\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e8 megapiksellik Sony IMX219 görüntü sensörü ile yüksek kaliteli kamera\u003c\/li\u003e\n\u003cli\u003e3280 × 2464 yüksek çözünürlükte görüntüleri görüntüleme yeteneği\u003c\/li\u003e\n\u003cli\u003eDaha fazla alanı yakalamak için yüksek FOV (görüş açısı)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eAçıklama\u003c\/h2\u003e\n\u003cp\u003eBu, 77 derece FOV (görüş açısı) olan 8 megapiksellik bir kameradır ve \u003ca rel=\"noopener\" href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Nano-Development-Kit-B01-p-4437.html\" target=\"_blank\"\u003eNVIDIA Jetson Nano\u003c\/a\u003e ve \u003ca rel=\"noopener\" href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Xavier-NX-Developer-Kit-p-4573.html\" target=\"_blank\"\u003eNVIDIA Jetson Xavier NX\u003c\/a\u003e Geliştirme Kitleri ile kullanmak için uygundur. Bu kamerayı kullanarak, Jetson Nano\/ Xavier NX Geliştirme Kitleri ile birleştirerek makine görüşü projelerini kolayca gerçekleştirebilirsiniz.Ayrıca, bu kameradan daha iyi kaliteli video kaydı deneyimleyebilir ve daha zorlu projeler oluşturabilirsiniz!\u003c\/p\u003e\n\u003ch2\u003eNVIDIA Jetson Nano\/ Xavier NX Geliştirme Kitleri ile uyumlu daha fazla kamera\u003c\/h2\u003e\n\u003cp\u003eProjeniz için en uygun kamerayı seçme konusunda size daha fazla özgürlük sunmak istiyoruz. Bu nedenle, aşağıdaki tabloyu keşfedin ve daha fazla kamera hakkında bilgi edinin, böylece daha iyi bir karar verebilirsiniz.\u003c\/p\u003e\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"tg p_2981_table\"\u003e\n\u003ccolgroup\u003e \u003ccol\u003e \u003ccol\u003e \u003ccol\u003e \u003ccol\u003e \u003ccol\u003e \u003ccol\u003e \u003ccol\u003e \u003ccol\u003e \u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca rel=\"noopener noreferrer\" href=\"https:\/\/www.seeedstudio.com\/IMX219-77-Camera-77-FOV-Applicable-for-Jetson-Nano-p-4608.html\" target=\"_blank\"\u003e114992260\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca rel=\"noopener noreferrer\" href=\"https:\/\/www.seeedstudio.com\/IMX219-77IR-Camera-77-FOV-Infrared-Applicable-for-Jetson-Nano-p-4607.html\" target=\"_blank\"\u003e114992261\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca rel=\"noopener noreferrer\" href=\"https:\/\/www.seeedstudio.com\/IMX219-130-Camera-130-FOV-Applicable-for-Jetson-Nano-p-4606.html\" target=\"_blank\"\u003e114992262\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca rel=\"noopener noreferrer\" href=\"https:\/\/www.seeedstudio.com\/IMX219-160-Camera-160-FOV-Applicable-for-Jetson-Nano-p-4603.html\" target=\"_blank\"\u003e114992263\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca rel=\"noopener noreferrer\" href=\"https:\/\/www.seeedstudio.com\/IMX219-160IR-Camera160-FOV-Infrared-Applicable-for-Jetson-Nano-p-4602.html\" target=\"_blank\"\u003e114992264\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca rel=\"noopener noreferrer\" href=\"https:\/\/www.seeedstudio.com\/IMX219-200-Camera-200-FOV-Applicable-for-Jetson-Nano-p-4609.html\" target=\"_blank\"\u003e114992265\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca rel=\"noopener noreferrer\" href=\"https:\/\/www.seeedstudio.com\/IMX219-83-Stereo-Camera-8MP-Binocular-Camera-Module-Depth-Vision-Applicable-for-Jetson-Nano-p-4610.html\" target=\"_blank\"\u003e114992270\u003c\/a\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-9yul\"\u003e Diyagonal Görüş Açısı (FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e77°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e77°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e130°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e160°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e160°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e200°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e83°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eIR LED Modülleri\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eYok\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eYok\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eYok\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eYok\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eYok\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eApertür\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.0\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.0\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.8\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.35\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.35\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.0\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003e Odak Uzunluğu\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.96mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.96mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.88mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e0.87mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.6mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eLens Yapısı\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e4P\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e4P\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e4E+IR\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e6G+IR\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e6G+IR\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1G4P+IR\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eDistorsiyon\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;1%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;1%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;7.6%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;18.6%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;1%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eEFL\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.93mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.93mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.85mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e0.9mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eBFL (Optik)\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.16mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.16mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.95mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.41mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003ch2\u003eÖzellikler\u003c\/h2\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"tg p_2981_table\"\u003e\n\u003ccolgroup\u003e \u003ccol\u003e \u003ccol\u003e \u003c\/colgroup\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"tg-u1yq\"\u003eÖzellik\u003c\/th\u003e\n\u003cth class=\"tg-u1yq\"\u003eAçıklama\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eMegapiksel\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e8 Megapiksel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eFotoğraf duyarlı çip\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003eSony IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eMontaj Tekniği\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003eSMT (ROSH)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eÇözünürlük\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3280 × 2464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003ePiksel Boyutu\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1.12µm x1.12µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eCMOS boyutu\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1\/4 inç\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eApertür (F)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eOdak\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003esabit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eOdak Uzaklığı\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e2.96mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eLens Construction\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e4P\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eDiagonal field of view (FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e77 derece\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eDistortion\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e\u0026lt;1%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eEFL\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e2.93mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eBFL (Optical)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1.16mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eMaximum Image Transfer Rate\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e30 fps for QSXGA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eOutput formats\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e8\/10bit RGB RAW çıkışı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eS\/N Ratio\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eDynamic Range\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eSensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e600mV\/Lux-saniye\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eRelative Illumination (Sensor)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e70%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eIR Filter\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e650±10nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eObject Distance\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e30CM-∞\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eInterface\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e15p-1.0 mipi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eGüç kaynağı\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3.3V (pin15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eÇalışma Sıcaklığı\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e-20°C ile 70°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eSıcaklık (Dengeli Görüntü)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e0°C ile 50°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eLens boyutu\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e6.5mm × 6.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eModül Boyutu\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e25mm × 24mm ×5.3±0.2mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003ch2\u003eİçindekiler\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x IMX219-77 8MP Kamera, 77° FOV - NVIDIA Jetson Nano ile uyumlu\u003c\/li\u003e\n\u003cli\u003e1 x 150mm FPC Kablo\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eUygulamalar\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano\/ Xavier NX üzerinde makine görüşü projeleri\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\n\u003cdiv class=\"certification\"\u003e\n\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992260-EUDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992260-ROHS.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-77-8MP-Camera-c3xfB.png?v=1762216153\" alt=\"Specifications for IMX219-77 8MP Camera with 77° FOV compatible with NVIDIA Jetson Nano\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992260-UKDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-77-8MP-Camera-GhEAA.png?v=1762216165\" alt=\"IMX219-77 8MP Camera, Learn about cameras\"\u003e\u003c\/a\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8525801390\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8525895050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517600000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"Seeed Studio","offers":[{"title":"77°","offer_id":48085113045216,"sku":"114992260-1","price":32.0,"currency_code":"USD","in_stock":true},{"title":"77° IR","offer_id":48085113077984,"sku":"114992260-2","price":35.0,"currency_code":"USD","in_stock":true},{"title":"130°","offer_id":48085113110752,"sku":"114992260-3","price":35.0,"currency_code":"USD","in_stock":true},{"title":"160°","offer_id":48085113143520,"sku":"114992260-4","price":38.0,"currency_code":"USD","in_stock":true},{"title":"160° IR","offer_id":48085113176288,"sku":"114992260-5","price":40.0,"currency_code":"USD","in_stock":true},{"title":"200°","offer_id":48085113209056,"sku":"114992260-6","price":43.0,"currency_code":"USD","in_stock":true},{"title":"83° Stereo","offer_id":48085113241824,"sku":"114992260-7","price":69.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/114992260_-preview-19.png?v=1762215146"},{"product_id":"imx219-130-8mp-camera-with-130-fov-compatible-with-nvidia-jetson-nano-xavier-nx","title":"IMX219-130 8MP Kamera Modülü, 130° FOV, Sony IMX219, NVIDIA Jetson Nano\/Xavier NX için, 3280×2464, f\/1.8, Sabit Odak","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eIMX219-130 8MP kamera modülü, NVIDIA Jetson Nano ve NVIDIA Jetson Xavier NX geliştirme kitleri için tasarlanmıştır. Sony IMX219 görüntü sensörüne, 130° diyagonal görüş açısına ve 3280 × 2464 sabit çözünürlüğe sahiptir, bu da onu makine görüşü projeleri ve Jetson platformlarında yüksek kaliteli video yakalama için uygun hale getirir.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e8 megapiksel Sony IMX219 görüntü sensörü\u003c\/li\u003e\n\u003cli\u003eSabit çözünürlük: 3280 × 2464\u003c\/li\u003e\n\u003cli\u003eDaha geniş bir sahne yakalamak için 130° diyagonal FOV\u003c\/li\u003e\n\u003cli\u003eApertür (F): 1.8\u003c\/li\u003e\n\u003cli\u003eSabitleme odak; odak uzunluğu: 1.88mm\u003c\/li\u003e\n\u003cli\u003eLens yapısı: 4E+IR ile IR filtresi 650±10nm\u003c\/li\u003e\n\u003cli\u003eQSXGA için saatte 30 fps'ye kadar\u003c\/li\u003e\n\u003cli\u003e8\/10bit RGB RAW çıkışı\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eNVIDIA Jetson Nano\/ Xavier NX Geliştirme Kitleri ile uyumlu daha fazla kamera\u003c\/h2\u003e\u003cp\u003eProjeniz için en uygun modülü seçmek üzere ek kamera seçeneklerini keşfedin.\u003c\/p\u003e\u003cdiv class=\"p_2981_table_wrapper\"\u003e\u003ctable class=\"tg p_2981_table\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-77-Camera-77-FOV-Applicable-for-Jetson-Nano-p-4608.html\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e114992260\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-77IR-Camera-77-FOV-Infrared-Applicable-for-Jetson-Nano-p-4607.html\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e114992261\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-130-Camera-130-FOV-Applicable-for-Jetson-Nano-p-4606.html\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e114992262\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-160-Camera-160-FOV-Applicable-for-Jetson-Nano-p-4603.html\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e114992263\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-160IR-Camera160-FOV-Infrared-Applicable-for-Jetson-Nano-p-4602.html\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e114992264\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-200-Camera-200-FOV-Applicable-for-Jetson-Nano-p-4609.html\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e114992265\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"tg-k7ar\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-83-Stereo-Camera-8MP-Binocular-Camera-Module-Depth-Vision-Applicable-for-Jetson-Nano-p-4610.html\" rel=\"noopener noreferrer\" target=\"_blank\"\u003e114992270\u003c\/a\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-9yul\"\u003eDiagonal Görüş Açısı (FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e77°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e77°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e130°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e160°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e160°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e200°\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e83°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eIR LED Modülleri\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eYok\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eYok\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eYok\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eYok\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003eYok\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eApertür\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.0\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.0\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.8\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.35\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.35\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.0\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eOdak Uzunluğu\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.96mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.96mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.88mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e0.87mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.6mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eLens Yapısı\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e4P\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e4P\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e4E+IR\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e6G+IR\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e6G+IR\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1G4P+IR\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eDistorsiyon\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;1%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;1%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;7.6%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;18.6%\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\u0026lt;1%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eEFL\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.93mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.93mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.85mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e0.9mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003eBFL (Optik)\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.16mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.16mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.95mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e3.15mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e1.41mm\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003c\/div\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003cdiv class=\"p_2981_table_wrapper\"\u003e\u003ctable class=\"tg p_2981_table\"\u003e\n\u003ccolgroup\u003e\n\u003ccol\u003e\n\u003ccol\u003e\n\u003c\/colgroup\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth class=\"tg-u1yq\"\u003eÖzellik\u003c\/th\u003e\n\u003cth class=\"tg-u1yq\"\u003eAçıklama\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eMegapiksel\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e8 Megapiksel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eFotoğraf duyarlı çip\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003eSony IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eMontaj Tekniği\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003eSMT (ROSH)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eÇözünürlük\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3280 × 2464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003ePiksel Boyutu\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1.12µm x1.12µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eCMOS boyutu\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1\/4 inç\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eApertür (F)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1.8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eOdak\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003esabit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eOdak Uzaklığı\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1.88mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eLens Construction\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e4E+IR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eDiagonal field of view (FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e130 derece\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eDistortion\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e\u0026lt;7.6%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eEFL\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1.85mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eBFL (Optical)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1.95mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eMaximum Image Transfer Rate\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e30 fps for QSXGA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eOutput formats\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e8\/10bit RGB RAW çıkışı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eS\/N Ratio\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eDynamic Range\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eSensitivity\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e600mV\/Lux-saniye\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eRelative Illumination (Sensor)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e70%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eIR Filter\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e650±10nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eObject Distance\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e30CM-∞\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eInterface\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e15p-1.0 mipi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eGüç kaynağı\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3.3V (pin15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eÇalışma Sıcaklığı\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e-20°C ile 70°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eSıcaklık (Dengeli Görüntü)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e0°C ile 50°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eLens boyutu\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e6.5mm × 6.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eModül Boyutu\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e25mm × 24mm ×14±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003c\/div\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e1 × IMX219-130 8MP Kamera, 130° FOV - NVIDIA Jetson Nano\/ Xavier NX ile uyumlu\u003c\/li\u003e\n\u003cli\u003e1 × 150mm FPC Kablo\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Nano\/ Xavier NX üzerinde makine görüşü projeleri\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\u003cdiv class=\"certification\"\u003e\n\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992262-EUDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992262-ROHS.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"IMX219-130 8MP Camera, Sony IMX219 image sensor and 130° diagonal field of view make it suitable for machine vision projects and high-quality video capture.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-130-8MP-Camera-WOXfP.png?v=1762220188\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992262-UKDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003cdiv class=\"p_2981_table_wrapper\"\u003e\u003ctable class=\"p_2981_table\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8525801390\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8525895050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517600000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg alt=\"IMX219-130 8MP Camera, The camera features an 8MP Sony IMX219 sensor, wide FOV, fixed focus, and supports up to 30fps QSXGA and 8\/10bit RGB RAW output.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-130-8MP-Camera-exluA.png?v=1762220214\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":48085666398432,"sku":"114992262","price":33.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/114992262_-preview-19_c0242d3a-be6b-49c1-a419-5a70a53b94d9.png?v=1762219069"},{"product_id":"imx219-160-8mp-camera-with-160-fov-compatible-with-nvidia-jetson-nano-xavier-nx","title":"IMX219-160 8MP Kamera Modülü, 160° FOV, Sony IMX219 – NVIDIA Jetson Nano \u0026 Xavier NX ile uyumlu","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eIMX219-160 8MP kamera modülü, NVIDIA Jetson Nano ve NVIDIA Jetson Xavier NX geliştirme kitleri için tasarlanmış geniş açılı bir kamera modülüdür. Sony IMX219 görüntü sensörünü kullanır, maksimum 3280 × 2464 çözünürlük sunar ve daha geniş sahne kapsamı için 160° diyagonal görüş açısı sağlar. Modül, sabit odaklı optikler, 6G+IR lens yapısı ve makine görüşü ve video yakalama projelerinde kolay entegrasyon için MIPI çıkışı ile donatılmıştır.\u003c\/p\u003e\u003ch2\u003eTemel Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e8 megapiksel Sony IMX219 görüntü sensörü\u003c\/li\u003e\n\u003cli\u003e3280 × 2464 yüksek çözünürlüklü görüntüleme\u003c\/li\u003e\n\u003cli\u003eDaha fazla alan yakalamak için 160° diyagonal FOV\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTeknik Özellikler\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eÖzellikler\u003c\/th\u003e\n\u003cth\u003eAçıklama\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMegapiksel\u003c\/td\u003e\n\u003ctd\u003e8 Megapiksel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFotoğraf duyarlı çip\u003c\/td\u003e\n\u003ctd\u003eSony IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMontaj Tekniği\u003c\/td\u003e\n\u003ctd\u003eSMT (ROSH)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇözünürlük\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePiksel Boyutu\u003c\/td\u003e\n\u003ctd\u003e1.12µm x1.12µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCMOS boyutu\u003c\/td\u003e\n\u003ctd\u003e1\/4 inç\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApertür (F)\u003c\/td\u003e\n\u003ctd\u003e2.35\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOdak\u003c\/td\u003e\n\u003ctd\u003esabit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOdak Uzaklığı\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLens Yapısı\u003c\/td\u003e\n\u003ctd\u003e6G+IR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDiagonal görüş açısı (FOV)\u003c\/td\u003e\n\u003ctd\u003e160 derece\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDistorsiyon\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEFL\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBFL (Optik)\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaksimum Görüntü Aktarım Hızı\u003c\/td\u003e\n\u003ctd\u003e30 fps için QSXGA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇıkış formatları\u003c\/td\u003e\n\u003ctd\u003e8\/10bit RGB RAW çıkışı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eS\/N Oranı\u003c\/td\u003e\n\u003ctd\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDinamik Aralık\u003c\/td\u003e\n\u003ctd\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDuyarlılık\u003c\/td\u003e\n\u003ctd\u003e600mV\/Lux-saniye\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGöreceli Aydınlatma (Sensör)\u003c\/td\u003e\n\u003ctd\u003e70%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIR Filtre\u003c\/td\u003e\n\u003ctd\u003e650±10nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNesne Mesafesi\u003c\/td\u003e\n\u003ctd\u003e30CM-∞\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArayüz\u003c\/td\u003e\n\u003ctd\u003e15p-1.0 mipi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç kaynağı\u003c\/td\u003e\n\u003ctd\u003e3.3V (pin15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma Sıcaklığı\u003c\/td\u003e\n\u003ctd\u003e-20°C ile 70°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSıcaklık (Dengeli Görüntü)\u003c\/td\u003e\n\u003ctd\u003e0°C ile 50°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLens boyutu\u003c\/td\u003e\n\u003ctd\u003e6.5mm × 6.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModül Boyutu\u003c\/td\u003e\n\u003ctd\u003e25mm × 24mm ×17.7±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eNVIDIA Jetson Nano\/ Xavier NX Geliştirme Kitleri ile uyumlu daha fazla kamera\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-77-Camera-77-FOV-Applicable-for-Jetson-Nano-p-4608.html\" target=\"_blank\"\u003e114992260\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-77IR-Camera-77-FOV-Infrared-Applicable-for-Jetson-Nano-p-4607.html\" target=\"_blank\"\u003e114992261\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-130-Camera-130-FOV-Applicable-for-Jetson-Nano-p-4606.html\" target=\"_blank\"\u003e114992262\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-160-Camera-160-FOV-Applicable-for-Jetson-Nano-p-4603.html\" target=\"_blank\"\u003e114992263\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-160IR-Camera160-FOV-Infrared-Applicable-for-Jetson-Nano-p-4602.html\" target=\"_blank\"\u003e114992264\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-200-Camera-200-FOV-Applicable-for-Jetson-Nano-p-4609.html\" target=\"_blank\"\u003e114992265\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/IMX219-83-Stereo-Camera-8MP-Binocular-Camera-Module-Depth-Vision-Applicable-for-Jetson-Nano-p-4610.html\" target=\"_blank\"\u003e114992270\u003c\/a\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDiagonal Görüş Açısı (FOV)\u003c\/td\u003e\n\u003ctd\u003e77°\u003c\/td\u003e\n\u003ctd\u003e77°\u003c\/td\u003e\n\u003ctd\u003e130°\u003c\/td\u003e\n\u003ctd\u003e160°\u003c\/td\u003e\n\u003ctd\u003e160°\u003c\/td\u003e\n\u003ctd\u003e200°\u003c\/td\u003e\n\u003ctd\u003e83°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIR LED Modülleri\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApertür\u003c\/td\u003e\n\u003ctd\u003e2.0\u003c\/td\u003e\n\u003ctd\u003e2.0\u003c\/td\u003e\n\u003ctd\u003e1.8\u003c\/td\u003e\n\u003ctd\u003e2.35\u003c\/td\u003e\n\u003ctd\u003e2.35\u003c\/td\u003e\n\u003ctd\u003e2.0\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOdak Uzaklığı\u003c\/td\u003e\n\u003ctd\u003e2.96mm\u003c\/td\u003e\n\u003ctd\u003e2.96mm\u003c\/td\u003e\n\u003ctd\u003e1.88mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e0.87mm\u003c\/td\u003e\n\u003ctd\u003e2.6mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLens Yapısı\u003c\/td\u003e\n\u003ctd\u003e4P\u003c\/td\u003e\n\u003ctd\u003e4P\u003c\/td\u003e\n\u003ctd\u003e4E+IR\u003c\/td\u003e\n\u003ctd\u003e6G+IR\u003c\/td\u003e\n\u003ctd\u003e6G+IR\u003c\/td\u003e\n\u003ctd\u003e1G4P+IR\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBozulma\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;1%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;1%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;7.6%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;14.3%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;18.6%\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;1%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEFL\u003c\/td\u003e\n\u003ctd\u003e2.93mm\u003c\/td\u003e\n\u003ctd\u003e2.93mm\u003c\/td\u003e\n\u003ctd\u003e1.85mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e0.9mm\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBFL (Optik)\u003c\/td\u003e\n\u003ctd\u003e1.16mm\u003c\/td\u003e\n\u003ctd\u003e1.16mm\u003c\/td\u003e\n\u003ctd\u003e1.95mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003ctd\u003e1.41mm\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e1 × IMX219-160 8MP Kamera, 160° FOV ile - NVIDIA Jetson Nano\/Xavier NX ile uyumlu\u003c\/li\u003e\n\u003cli\u003e1 × 150mm FPC Kablo\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBelgelendirme\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992263-EUDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992263-ROHS.pdf\" target=\"_blank\"\u003e\u003cimg alt=\"The IMX219-160 8MP camera module is a wide-angle camera designed for NVIDIA Jetson Nano and Jetson Xavier NX development kits.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-160-8MP-Camera-e6Mg2.png?v=1762220715\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/Seeed_Certificate\/documents_certificate\/114992263-UKDOC.pdf\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8525801390\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8525895050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517600000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eÇİN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg alt=\"The IMX219-160 8MP camera module is a wide-angle camera module designed for NVIDIA Jetson development kits.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/IMX219-160-8MP-Camera-ZxZWZ.png?v=1762220737\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"160°","offer_id":48085862121696,"sku":"114992263","price":38.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/114992263_-preview-19_ba56b349-42b6-424f-af8e-5e433372921d.png?v=1762219607"},{"product_id":"persee-n1","title":"Orbbec Persee N1 3D Geliştirme Kiti Gemini 2 RGB‑D Kamera \u0026 NVIDIA Jetson Nano, PoE, 0.15–10 m Derinlik","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eOrbbec Persee N1, Orbbec ve NVIDIA tarafından birlikte geliştirilen bir 3D geliştirme kitidir. Gemini 2 RGB‑D stereo kamerasını NVIDIA Jetson Nano Quad Core ARM A57 @ 1.43 GHz platformu ve Orbbec’in derinlik işleme ASIC’i ile entegre eder. Kit, çeşitli Orbbec 3D kameraları ve NVIDIA hesaplama platformlarının esnek entegrasyonunu destekler ve robotik, akıllı araçlar ve insan yeniden yapılandırma kontrolü için endüstri standardı arayüzler sunar. Yazılım desteği, hareket algılama, engel kaçınma ve hacim ölçümü gibi 3D projelerin geliştirilmesi, doğrulanması, dağıtımı ve optimizasyonu için NVIDIA Jetpack, VisionWorks ve DeepStream'i içerir. 0℃ ~ 40℃ aralığında iç mekan\/yarı dış mekan çalışması için derecelendirilmiştir.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA® Jetson Nano™ Quad Core ARM A57 @ 1.43 GHz\u003c\/li\u003e\n\u003cli\u003e850nm aydınlatma ile Aktif Stereo IR derinlik teknolojisi\u003c\/li\u003e\n\u003cli\u003e0'dan yüksek kaliteli derinlik verisi çıkışı.15–10 m\u003c\/li\u003e\n\u003cli\u003eDerinlik: 1280×800 @ 30 fps'ye kadar; RGB: 1920×1080 @ 30 fps'ye kadar\u003c\/li\u003e\n\u003cli\u003ePOE (Ethernet Üzerinden Güç), USB, HDMI; Gigabit Ethernet\u003c\/li\u003e\n\u003cli\u003eMicroSD ve M.2 ile bellek genişletme\u003c\/li\u003e\n\u003cli\u003eKapalı\/yarı açık çalışma: 0℃ ~ 40℃; %5–%95 RH\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003e4GB RAM + 16GB Depolama\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDerinlik Teknolojisi\u003c\/td\u003e\n\u003ctd\u003eAktif Stereo IR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDalgaboyu\u003c\/td\u003e\n\u003ctd\u003e850nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDerinlik Aralığı\u003c\/td\u003e\n\u003ctd\u003e0.15–10 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDerinlik Çözünürlüğü \/ Kare Hızı\u003c\/td\u003e\n\u003ctd\u003e30 fps'de 1280×800'e kadar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDerinlik Görüş Açısı\u003c\/td\u003e\n\u003ctd\u003eH91°; V66°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRGB Çözünürlüğü \/ Kare Hızı\u003c\/td\u003e\n\u003ctd\u003e30 fps'de 1920×1080'e kadar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRGB Görüş Açısı\u003c\/td\u003e\n\u003ctd\u003eH86°; V55°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eİşlemci\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Nano Dört Çekirdekli ARM A57 @ 1.43 GHz; Derinlik İşleme için Orbbec ASIC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSDK \/ OS\u003c\/td\u003e\n\u003ctd\u003eOrbbec SDK; Yerleşik Ubuntu 18.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM \/ Depolama\u003c\/td\u003e\n\u003ctd\u003e4GB \/ 16GB genişletme yuvası ile\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWiFi \/ BT\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMikrofon\u003c\/td\u003e\n\u003ctd\u003eYok\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç Girişi\u003c\/td\u003e\n\u003ctd\u003eDC 12V\/3A veya PoE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePortlar\u003c\/td\u003e\n\u003ctd\u003eUSB 3.0 Tip-A × 2; USB 2.0 Type‑A × 2; USB Type‑C (Sadece Cihaz Modu); Gigabit Ethernet ile PoE; HDMI; DisplayPort; MicroSD; M.2 Genişletme Yuvası\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma Ortamı\u003c\/td\u003e\n\u003ctd\u003eKapalı\/Yarı Dış Mekan; %5–%95 RH; 0℃ ~ 40℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyutlar (G×Y×D)\u003c\/td\u003e\n\u003ctd\u003e200mm × 100mm × 90mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğırlık\u003c\/td\u003e\n\u003ctd\u003e986g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePersee N1 Hesaplama Temeli\u003c\/li\u003e\n\u003cli\u003eGemini 2 3D Kamera\u003c\/li\u003e\n\u003cli\u003eHDMI kablosu (1.5M)\u003c\/li\u003e\n\u003cli\u003e12V 3A Güç adaptörü (Değiştirilebilir Konnektör: ABD)\u003c\/li\u003e\n\u003cli\u003eVida (M3 × 4) × 2\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003ch3\u003eBoyutlandırma\u003c\/h3\u003e\u003cp\u003eLoji̇stik ve nakliye için doğru paket boyutu ölçümü.\u003c\/p\u003e\u003ch3\u003eİnsan Sayımı \u0026ve Katılım\u003c\/h3\u003e\u003cp\u003eBir alandaki insanları takip edin ve sayın, yaya trafiğini ve doluluğu izleyin.\u003c\/p\u003e\u003ch3\u003eVücut Tarayıcı\u003c\/h3\u003e\u003cp\u003eTam vücut RGB-D taraması, sağlık ve vücut kompozisyonu izleme için.\u003c\/p\u003e\u003ch3\u003eRobotik \u0026ve Akıllı Araçlar\u003c\/h3\u003e\u003cp\u003eHareket algılama, engel kaçınma ve çevre algısı sağlar.\u003c\/p\u003e\u003ch2\u003eVideo\u003c\/h2\u003e\u003cp\u003e\u003ciframe height=\"630\" src=\"https:\/\/www.youtube.com\/embed\/CgMObL1c7nk\" title=\"Persee N1, RGB-D Camera-Computer Powered by NVIDIA Jetson Platform,Designed for 3D Vision Enthusiast\" width=\"1120\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eAyrıntılar\u003c\/h2\u003e\u003cimg alt=\"Orbbec Persee N1 3D Camera Kit, Persee N1 is a 3D vision kit with Jetson, Gemini 2 camera, Ubuntu, easy setup, depth processing, HDMI\/USB, PoE, expandable storage, and 0°C–40°C operation.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Orbbec-Persee-N1-3D-Camera-Kit-jTBWp.webp?v=1762829234\"\u003e\u003cp\u003ePersee N1, NVIDIA Jetson, Orbbec Gemini 2 stereo IR kamerası ve Ubuntu OS ile birlikte gelen bir 3D görsel kamera-bilgisayar kitidir. Kolay kurulum, derinlik işleme, HDMI\/USB portları, PoE, genişletilebilir depolama sunar ve 0°C ile 40°C arasında çalışır.\u003c\/p\u003e\u003cimg alt=\"Orbbec Persee N1 3D Camera Kit, Orbbec Persee N1 features Active Stereo IR depth sensing, NVIDIA Jetson Nano, 4GB RAM, Ubuntu 18.04, compact size, and weighs 986g.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Orbbec-Persee-N1-3D-Camera-Kit-BA1JW.webp?v=1762829266\"\u003e\u003cp\u003e\u003ca href=\"https:\/\/rcdrone.top\/collections\/orbbec\" title=\"Orbbec\"\u003eOrbbec\u003c\/a\u003e Persee N1, 0.15–10m aralığında 850nm Aktif Stereo IR kullanır ve 1280×800@30fps depth. NVIDIA Jetson Nano, 4GB RAM, 16GB depolama, Ubuntu 18.04 ile güçlendirilmiştir. Boyut: 200×100×90mm, ağırlık: 986g.\u003c\/p\u003e\u003cimg alt=\"Orbbec Persee N1 3D Camera Kit, 3D cameras enable precise dimensioning, people counting, and body scanning for logistics, occupancy monitoring, and health tracking with real-time, detailed imaging across environments.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Orbbec-Persee-N1-3D-Camera-Kit-o629M.webp?v=1762829295\"\u003e\u003cp\u003eBirden fazla uygulama sunar: boyutlandırma, paket boyutunu doğru bir şekilde ölçmek için 3D kameralar kullanarak lojistiği iyileştirir.İnsan sayımı ve etkileşim, derinlik algılama ile bireyleri izleyerek yaya trafiğini ve doluluğu izler. Vücut taraması, 3D tam vücut görüntüleme aracılığıyla kapsamlı sağlık ve vücut kompozisyonu analizi sağlar ve sürekli sağlık takibini destekler. Her uygulama, çeşitli ortamlarda hassas ölçümler, gerçek zamanlı izleme ve detaylı tarama için gelişmiş kamera yeteneklerini kullanır.\u003c\/p\u003e\u003cimg alt=\"Orbbec Persee N1 3D Camera Kit, A modular AI device combining Gemini 2 RGB-D camera and NVIDIA Jetson enables edge AI and robotics with wide 101° depth view, accurate 10m measurement, and cloud deployment support.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Orbbec-Persee-N1-3D-Camera-Kit-eGcd2.webp?v=1762829324\"\u003e\u003cp\u003e Gemini 2 RGB-D kamerası ve NVIDIA Jetson platformunu birleştiren hepsi bir arada modüler cihaz, AI geliştirme ve büyük ölçekli bulut tabanlı dağıtımlar için olanak tanır. Özel bir ASIC ile güçlendirilmiş endüstri kanıtı stereo görüş kamerası, 101°'ye kadar derinlik görüş alanı sunar ve kör nokta olmadan 10 metreye kadar doğru derinlik ölçümü sağlar. Bu entegre çözüm, güvenilir performans ve gelişmiş görsel yeteneklerle kenar AI ve robotik uygulamalarını destekler.\u003c\/p\u003e\u003cimg alt=\"The Orbbec Persee N1 3D Camera Kit features multiple interfaces for monitor connections, accessories, power, and data, including HDMI, USB, POE, MicroSD, and M.2 ports.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Orbbec-Persee-N1-3D-Camera-Kit-c4ffO.webp?v=1762829361\"\u003e\u003cp\u003e Arayüzler, monitörlere, aksesuarlar, güç ve veri bağlantısı sağlar.HDMI ve USB portları, bir monitöre ve klavyeye kolay bağlantılar sağlar. Birden fazla USB portu veri transferi sunar ve bir POE portu veri ve gücü birleştirir. MicroSD ve M.2 yuvaları bellek genişletmesini destekler. Ubuntu ile çalışan NVIDIA Jetson Nano tarafından güçlendirilmiş bu bilgisayar, 40°C sıcaklık aralığında güvenilir performans için aktif soğutma ile iç mekan-dış mekan kullanımına uygundur.\u003c\/p\u003e","brand":"Orbbec","offers":[{"title":"Default Title","offer_id":48112092610784,"sku":"100100391","price":649.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/3_b971b4f7-3536-4a8b-8954-0c03c439ae06.png?v=1762826536"},{"product_id":"yahboom-jetson-orin-fan","title":"PWM Ayarlanabilir Soğutucu Fan Radyatörü NVIDIA Jetson Orin Nano SUPER\/Orin NX SUPER \u0026 Xavier için","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eBu PWM ayarlanabilir soğutma fanı ısı emici radyatör, NVIDIA Jetson Orin Nano SUPER, Jetson Orin NX SUPER ve Jetson Xavier kartları için tasarlanmıştır ve yüksek yük altında verimli ısı dağılımını desteklemek için metal bir ısı emici ile hız ayarlayan soğutma fanlarını birleştirir.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eKararlı çalışma için verimli ısı dağılımı\u003c\/li\u003e\n\u003cli\u003eAkıllı PWM hız düzenlemesi\u003c\/li\u003e\n\u003cli\u003eDesteklenen Jetson kartları için doğru uyumluluk ve kolay kurulum\u003c\/li\u003e\n\u003cli\u003eDayanıklılık için yüksek kaliteli malzemeler\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson platformlarında AI çıkarım yükleri\u003c\/li\u003e\n\u003cli\u003eEdge computing projeleri\u003c\/li\u003e\n\u003cli\u003eJetson Orin\/Xavier kartları kullanarak robotik geliştirme\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eSatın alma veya kurulum desteği öncesinde uyumluluk soruları için https:\/\/rcdrone.top\/ ile iletişime geçin veya support@rcdrone.top e-posta gönderin . \u003c\/p\u003e\u003ch2\u003eKılavuzlar\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Orin-PWM-Fan\" target=\"_blank\" rel=\"noopener\"\u003eKurulum videosu \/ kılavuzu (resmi kaynak)\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e","brand":"Yahboom","offers":[{"title":"Default Title","offer_id":53135635808480,"sku":"6000400529-1","price":16.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Cooling_Fan_Yahboom_01.jpg?v=1782123009"},{"product_id":"nvidia-jetson-agx-thor-developer-kit","title":"NVIDIA Jetson AGX Thor Geliştirici Kiti 128GB LPDDR5x, 2070 FP4 TFLOPS, 1TB NVMe SSD, Wi‑Fi 6E","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson AGX Thor \u003cstrong\u003egeliştirici kiti\u003c\/strong\u003e , robotik ve kenar AI geliştirme için Blackwell mimarisi tabanlı bir hesaplama platformudur. Bu platform, \u003cstrong\u003e2070 FP4 TFLOPS\u003c\/strong\u003e AI hesaplama kapasitesi sunmakta ve önceki nesil Jetson AGX Orin'den \u003cstrong\u003e7.5x\u003c\/strong\u003e daha yüksek performans ile \u003cstrong\u003e3.5x\u003c\/strong\u003e daha yüksek enerji verimliliği ile tanımlanmaktadır. Kiti, büyük Transformer çıkarımı, yüksek eşzamanlı video kodlama\/çözme ve çoklu sensör veri füzyonunu desteklemek için \u003cstrong\u003e128GB LPDDR5x\u003c\/strong\u003e bellek (256-bit) ve \u003cstrong\u003e273GB\/s\u003c\/strong\u003e bant genişliği ile donatılmıştır.\u003c\/p\u003e\u003cp\u003eBlackwell \u003cstrong\u003eçoklu örnek GPU (MIG)\u003c\/strong\u003e desteği ile, tek bir GPU'nun çevresel farkındalık, dil etkileşimi ve eylem planlaması gibi eşzamanlı iş yükleri için birden fazla izole örneğe bölünmesine olanak tanımaktadır.Platform, CUDA ekosistemi ile entegre olup, \u003cstrong\u003eIsaac\u003c\/strong\u003e, \u003cstrong\u003eIsaac GR00T\u003c\/strong\u003e, \u003cstrong\u003eMetropolis\u003c\/strong\u003e, ve \u003cstrong\u003eHoloscan\u003c\/strong\u003e. \u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e desteklemektedir.\n\u003cli\u003e\n\u003cstrong\u003eYapay zeka performansı:\u003c\/strong\u003e 2070 FP4 TFLOPS'a kadar\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU mimarisi:\u003c\/strong\u003e NVIDIA Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCPU:\u003c\/strong\u003e 14 çekirdekli Arm Neoverse V3AE\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHafıza:\u003c\/strong\u003e 128GB LPDDR5x, 256-bit; bellek bant genişliği 273GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGüç tüketimi:\u003c\/strong\u003e 40–130W (130W, 2070 FP4 TFLOPS çalışması için de belirtilmiştir)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepolama (not edilmiştir):\u003c\/strong\u003e 1TB NVMe SSD; bir sistem görüntüsü yazmak için SSD muhafazası sağlanmaktadır\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKablosuz (yerleşik):\u003c\/strong\u003e Wi‑Fi (2.4GHz\/5GHz\/6GHz) 2402Mbps'a kadar; Bluetooth 5.3; cihaz içinde sevkiyat öncesi kurulu\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSistem görüntüsü (not edildi):\u003c\/strong\u003e SSD, önceden kurulmuş bir sistem görüntüsü ile birlikte sağlanır; sistem görüntüsü AI görsel işlevlerini, ROS durumlarını, çevrimdışı büyük model durumlarını ve OpenClaw kurs içeriğini belirtmektedir\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eÜrün\u003c\/td\u003e\n\u003ctd\u003eJetson AGX Thor Geliştirici Kiti\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson T5000 Blackwell GPU ile\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI hesaplama\u003c\/td\u003e\n\u003ctd\u003e2070 FP4 TFLOPS'a kadar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e14 çekirdek (Arm Neoverse V3AE)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5x, 256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza bant genişliği\u003c\/td\u003e\n\u003ctd\u003e273GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç tüketimi\u003c\/td\u003e\n\u003ctd\u003e40–130W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoğutma\u003c\/td\u003e\n\u003ctd\u003eSoğutucu ve fan (fan ve radyatör)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama (not edildi)\u003c\/td\u003e\u003ctd\u003e1TB NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKablosuz\u003c\/td\u003e\n\u003ctd\u003eWi‑Fi 2.4GHz\/5GHz\/6GHz, 2402Mbps'a kadar; BT 5.3; Wi‑Fi 6E modülü not edildi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDış I\/O (not edildi)\u003c\/td\u003e\n\u003ctd\u003e2x USB‑A; 2x USB‑C; RJ45 konektörü (5GbE); DP konektörü; HDMI 2.1 konektörü; QSFP28 konektörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDüğmeler\/gösterge ışıkları\u003c\/td\u003e\n\u003ctd\u003eGüç düğmesi; yanıp sönen düğme; sıfırlama düğmesi; güç gösterge ışığı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eİç bağlantılar \/ arayüzler (not edildi)\u003c\/td\u003e\n\u003ctd\u003eSes (10Pin); Otomasyon Arayüzü (12Pin); CAN Bus (2x13Pin); USB Type‑C Hata Ayıklama Arayüzü; JTAG (10Pin); RTC (2Pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKasa boyutları\u003c\/td\u003e\n\u003ctd\u003e243 x 112.40 x 56.88 mm (birimler: mm); ayrıca not edilen uzunluk 240.86 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3D model\u003c\/td\u003e\n\u003ctd\u003e3D model dosyası sağlanacaktır\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003ePerformans Verileri (belirtilen)\u003c\/h2\u003e\u003ch3\u003eÜretken akıl yürütme karşılaştırma notları\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eJetson AGX Orin ile karşılaştırıldığında, Jetson AGX Thor, üretken akıl yürütme için \u003cstrong\u003e5x\u003c\/strong\u003e daha hızlı sunmaktadır. \u003c\/li\u003e\n\u003cli\u003eFP4\u003c\/strong\u003e ve \u003cstrong\u003eöngörücü kodlama \u003c\/strong\u003e,  ile geliştiricilerin Jetson AGX Thor'da ek olarak \u003cstrong\u003e2x\u003c\/strong\u003e performans ivmesi elde ettikleri belirtilmektedir.\u003c\/li\u003e\n \u003cli\u003eGerçek zamanlı çok modlu AI örnek notları: Qwen2.5‑VL‑3B VLM ve Llama3.2 3B LLM kullanarak, ilk Token (TTFT) yanıtlarının \u003cstrong\u003e200 ms\u003c\/strong\u003e,  altında olduğu ve her Token (TPOT) çıktı zamanının \u003cstrong\u003e50 ms\u003c\/strong\u003e.  çok altında olduğu belirtilmektedir.\u003c\/li\u003e\u003c\/ul\u003e\u003ch3\u003eJetson AGX Orin vs Jetson AGX Thor (Tokens\/s) Tablosu\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eAile\u003c\/th\u003e\n\u003cth\u003eModel\u003c\/th\u003e\n\u003cth\u003eJetson AGX Orin (Tokens\/s)\u003c\/th\u003e\n\u003cth\u003eJetson AGX Thor (Tokens\/s)\u003c\/th\u003e\n\u003cth\u003eHızlandırma Çarpanı\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLlama\u003c\/td\u003e\n\u003ctd\u003eLlama 3.1 8B\u003c\/td\u003e\n\u003ctd\u003e112.33\u003c\/td\u003e\n\u003ctd\u003e150.8\u003c\/td\u003e\n\u003ctd\u003e1.34\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLlama\u003c\/td\u003e\n\u003ctd\u003eLlama 3.3 70B\u003c\/td\u003e\n\u003ctd\u003e7.38\u003c\/td\u003e\n\u003ctd\u003e12.64\u003c\/td\u003e\n\u003ctd\u003e1.71\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQwen\u003c\/td\u003e\n\u003ctd\u003eQwen3-30B-A3B\u003c\/td\u003e\n\u003ctd\u003e76.69\u003c\/td\u003e\n\u003ctd\u003e226.42\u003c\/td\u003e\n\u003ctd\u003e2.95\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQwen\u003c\/td\u003e\n\u003ctd\u003eQwen3-32B\u003c\/td\u003e\n\u003ctd\u003e16.84\u003c\/td\u003e\n\u003ctd\u003e79.1\u003c\/td\u003e\n\u003ctd\u003e4.7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDeepSeek\u003c\/td\u003e\n\u003ctd\u003eDeepSeek-R1-Distill-Qwen-7B\u003c\/td\u003e\n\u003ctd\u003e180.41\u003c\/td\u003e\n\u003ctd\u003e304.76\u003c\/td\u003e\n\u003ctd\u003e1.69\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDeepSeek\u003c\/td\u003e\n\u003ctd\u003eDeepSeek-R1-Distill-Qwen-32B\u003c\/td\u003e\n\u003ctd\u003e16.96\u003c\/td\u003e\n\u003ctd\u003e82.63\u003c\/td\u003e\n\u003ctd\u003e4.87\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQwen (VLM)\u003c\/td\u003e\n\u003ctd\u003eQwen2.5-VL-3B\u003c\/td\u003e\n\u003ctd\u003e216\u003c\/td\u003e\n\u003ctd\u003e356.86\u003c\/td\u003e\n\u003ctd\u003e1.65\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQwen (VLM)\u003c\/td\u003e\n\u003ctd\u003eQwen2.5-VL-7B\u003c\/td\u003e\n\u003ctd\u003e154.02\u003c\/td\u003e\n\u003ctd\u003e252\u003c\/td\u003e\n\u003ctd\u003e1.64\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLlama (VLM)\u003c\/td\u003e\n\u003ctd\u003eLlama 3.2 11B Vision\u003c\/td\u003e\n\u003ctd\u003e44.22\u003c\/td\u003e\n\u003ctd\u003e69.63\u003c\/td\u003e\n\u003ctd\u003e1.57\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGR00T (VLA)\u003c\/td\u003e\n\u003ctd\u003eGR00T N1\u003c\/td\u003e\n\u003ctd\u003e18.5\u003c\/td\u003e\n\u003ctd\u003e46.7\u003c\/td\u003e\n\u003ctd\u003e2.52\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGR00T (VLA)\u003c\/td\u003e\n\u003ctd\u003eGR00T N1.5\u003c\/td\u003e\n\u003ctd\u003e15.2\u003c\/td\u003e\n\u003ctd\u003e41.5\u003c\/td\u003e\n\u003ctd\u003e2.74\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eBağlantı Noktaları \u0026amp; Fonksiyonel Dağılım (etiketlendiği gibi)\u003c\/h2\u003e\u003cul\u003e\n \u003cli\u003eDC güç kaynağı\u003c\/li\u003e\n\u003cli\u003eUSB Type‑C arayüzü (güç girişi arayüzü olarak kullanılabilir)\u003c\/li\u003e\n\u003cli\u003eHDMI\u003c\/li\u003e\n\u003cli\u003eUSB Type‑A arayüzü\u003c\/li\u003e\n\u003cli\u003eDP arayüzü\u003c\/li\u003e\n\u003cli\u003eEthernet portu\u003c\/li\u003e\n\u003cli\u003eQSFP28 konektörü\u003c\/li\u003e\n\u003cli\u003eFan ve radyatör\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSistem Görüntüsü \u0026amp; Yazılım Ortamı (belirtilen şekilde)\u003c\/h2\u003e\u003cul\u003e\n \u003cli\u003e\u003cstrong\u003eSSD, önceden yüklenmiş sistem görüntüsüne sahiptir.\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003eJetson AGX Thor, sevkiyat öncesinde \u003cstrong\u003e1TB boş SSD ile birlikte gelir\u003c\/strong\u003e ve sistem görüntü dosyasını yazmak için bir \u003cstrong\u003eSSD muhafazası\u003c\/strong\u003e sağlanır.\u003c\/li\u003e\n\u003cli\u003e Ayrıca, bir sistem görüntü dosyası ile birlikte \u003cstrong\u003e2TB SSD\u003c\/strong\u003e de belirtilmiştir.Eğer 2TB SSD versiyon kitini seçerseniz, resmi kit ile birlikte gelen orijinal 1TB SSD'nin korunacağı belirtilmiştir; paketteki 2TB SSD kullanıcının tarafından değiştirilmelidir ve orijinal ambalaj varsayılan olarak çıkarılmayacaktır.\u003c\/li\u003e\n\u003cli\u003e \n\u003cstrong\u003eUbuntu 24.04 tabanlı\u003c\/strong\u003e Jetson sistem görüntüsü belirtilmiştir, \u003cstrong\u003eNVIDIA CUDA 13.0\u003c\/strong\u003e , \u003cstrong\u003eTensorRT 10.13\u003c\/strong\u003e, \u003cstrong\u003ecuDNN 9.12\u003c\/strong\u003e, ve \u003cstrong\u003eOpenCV 4.13\u003c\/strong\u003e. \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eİsteğe bağlı \/ Desteklenen Modüller (açıklandığı gibi)\u003c\/h2\u003e\u003ch3\u003eAI büyük model ses modülü (destek belirtildi)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eYüksek performanslı mikrofon ve boşluk hoparlörü\u003c\/li\u003e\n\u003cli\u003eUzak alan alımı, yankı iptali ve çevresel gürültü azaltma\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eUSB endüstriyel kamera (destek belirtildi)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e5MP\u003c\/li\u003e\n\u003cli\u003e2592 x 1944 çözünürlükte 30fps'lik kararlı çıkışı destekler\u003c\/li\u003e\n\u003cli\u003e105° diyagonal görüş açısı (yatay 81.8°, dikey 66°C olarak belirtilmiştir)\u003c\/li\u003e\n\u003cli\u003eBozulmasız görüntüler; toz geçirmez kabuk (olarak belirtilmiştir)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eEğitim Videosu\u003c\/h2\u003e\u003cp\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/-20a1fotbZA\" title=\"Jetson AGX Thor: 2070 TFLOPS of Edge AI Power (Full Demo)\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eDestek\u003c\/h2\u003e\u003cp\u003eJetson AGX Thor geliştirici kiti için doğru yapılandırmayı seçme veya teknik sorular için destek almak üzere \u003ca href=\"https:\/\/rcdrone.top\/\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e veya \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e . \u003c\/p\u003e\u003ch2 id=\"details\"\u003eAyrıntılar\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"NVIDIA Jetson AGX Thor developer kit with 1TB NVMe system image note and onboard Wi‑Fi 6E card detail\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4.jpg?v=1782281427\"\u003e\u003cp\u003eİçerik olarak sunulan 1TB NVMe SSD, önceden yüklenmiş bir sistem görüntüsü ile birlikte gelir ve yerleşik kablosuz kart Wi‑Fi 6E ve Bluetooth 5.3'ü destekler.\u003c\/p\u003e\n\u003cimg alt=\"Jetson AGX Thor course and tutorial portal screen, listing developer kit learning categories and resources\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_cf2878a0-9f1b-4390-98f4-5b4c97cba6c9.jpg?v=1782281433\"\u003e\u003cimg alt=\"Jetson AGX Thor training outline with ROS, vision, LLM, and OpenClaw course modules listed in a long table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_827b4494-4e1a-476c-8b46-ff97c7257ae5.jpg?v=1782281439\"\u003e\u003cimg alt=\"Folders for detailed tutorials and open-source code, plus basic setup, vision, and ROS advanced tutorial lists\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_23740e96-5bcb-49cd-b6d8-1e44ed4eb5a0.jpg?v=1782281446\"\u003e\u003cimg alt=\"Offline and online AI large model development materials with demos for text-to-picture, vision, and localization tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_1bf3064d-c203-4573-99b9-5080d7c42d61.jpg?v=1782281452\"\u003e\u003cimg alt=\"Offline generative AI application materials with example projects like storytelling, cooking assistant, homework, and animation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_79e3a071-2214-4073-b2d6-e45d706a3fc0.jpg?v=1782281458\"\u003e\u003cimg alt=\"OpenClaw advanced AI development materials with examples for file management, camera control, browser control, and coding\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_8cc625d4-7292-446e-a945-86275f35f03f.jpg?v=1782281465\"\u003e\u003cimg alt=\"Jetson AGX Thor kit connected to AI voice module and USB industrial camera, highlighting supported accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_ee3e36a0-fc30-467e-9211-039c8c78a480.jpg?v=1782281471\"\u003e\u003cp\u003eAI ses modülü ve USB endüstriyel kameralar gibi desteklenen çevre birimlerini kullanarak sesli asistanlar veya görsel boru hatları oluşturun.\u003c\/p\u003e\n\u003cimg alt=\"Jetson AGX Thor developer kit angled view with rear I\/O ports visible and AI model ecosystem logos above\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_ff8c71db-a82a-42cd-867c-d8db436f32cd.jpg?v=1782281476\"\u003e\u003cimg alt=\"Performance charts comparing Jetson AGX Thor vs Orin for generative reasoning and real-time multimodal token response\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_8367d40c-19ef-4fb0-90fa-1a3cd1800c15.jpg?v=1782281483\"\u003e\u003cp\u003ePerformans grafikleri, üretken akıl yürütme kazançlarını ve kenar çıkarım iş yükleri için çok modlu verim hedeflerini özetler.\u003c\/p\u003e\u003cimg alt=\"Jetson AGX Thor benchmark table and key specs callout: up to 2070 FP4 TFLOPS, 128GB LPDDR5x, 14-core CPU\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_e9874dc8-80b9-4291-b15c-6b084274332f.jpg?v=1782281489\"\u003e\u003cp\u003eTemel platform özellikleri arasında 2070 FP4 TFLOPS AI hesaplama, 128GB LPDDR5x bellek ve 14 çekirdekli Arm CPU bulunmaktadır.\u003c\/p\u003e\n\u003cimg alt=\"Robotics and edge AI stack overview for Jetson AGX Thor, with sensor processing, low-latency pipeline, and software icons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_cf37e8be-768c-4f5f-9aea-8760a6d88b4c.jpg?v=1782281495\"\u003e\u003cimg alt=\"Jetson AGX Thor functional distribution diagram labeling ports, buttons, cooling, and internal headers like CAN and JTAG\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_e41af2f0-4be5-494a-b1ba-7178e1dcef64.jpg?v=1782281501\"\u003e\u003cp\u003eAçık bir port ve başlık haritası, USB ve ekran çıkışlarından CAN bus, hata ayıklama ve diğer dahili arayüzlere kadar entegrasyonu planlamaya yardımcı olur.\u003c\/p\u003e\n\u003cimg alt=\"Jetson AGX Thor dimensions drawing in millimeters with 3D model availability note beneath the chassis rendering\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_0e9d0655-207f-4002-9208-904f5d3cfc0a.jpg?v=1782281507\"\u003e\u003cp\u003eMekanik çizimler, şasi boyutlarını milimetre cinsinden listeler ve muhafaza tasarımı için bir 3D model dosyası mevcuttur.\u003c\/p\u003e\n\u003cimg alt=\"System image screen noting Ubuntu 24.04-based Jetson system with CUDA, TensorRT, cuDNN, and OpenCV versions listed\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_3d0c8588-4b33-4531-8b9e-1d3e91a1368f.jpg?v=1782281514\"\u003e\u003cp\u003eGüncellenmiş sistem görüntüsü, Ubuntu 24.04'e dayanmaktadır ve CUDA yazılım yığınındaki yaygın hızlandırılmış kütüphaneleri referans alır.\u003c\/p\u003e\n\u003cimg alt=\"Jetson full range comparison table highlighting Jetson AGX Thor column against Orin Nano, Orin NX, AGX Orin, and Xavier\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_109eba99-f3aa-4ced-ac4c-562999f256ff.jpg?v=1782281520\"\u003e\u003cimg alt=\"Continuation of Jetson comparison table with I\/O, networking, display, power, and dimensions across multiple Jetson models\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_2b32d987-a2f7-4961-8eee-93bb92945f25.jpg?v=1782281526\"\u003e\u003cimg alt=\"Jetson AGX Thor developer kit product photos with included power adapter and cables, plus retail box packaging\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_6521bc86-a135-4fba-bc9e-9930ab09f048.jpg?v=1782281531\"\u003e\u003cp\u003eKutuda: Jetson AGX Thor geliştirici kiti, güç kaynağı ve başlangıç için gerekli kablolar bulunmaktadır.\u003c\/p\u003e\u003cimg alt=\"Shipping list graphic for NVIDIA Jetson AGX Thor 128GB developer kit with power adapter, USB-C cable, optional SSD and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_1469dd01-c4e7-4e5e-bb60-8fd9e514ad56.jpg?v=1782281538\"\u003e\u003cp\u003eJetson AGX Thor 128GB geliştirici kiti, bir güç adaptörü ve USB‑C veri kablosu ile birlikte gelir; isteğe bağlı 1TB\/2TB SSD ve SSD muhafazası ile birlikte, Vision Advanced Kit ise DP‑to‑HDMI kablosu, USB endüstriyel c​\u003c\/p\u003e\n\u003cimg alt=\"Jetson AGX Thor 128GB developer kit bundle contents with power adapter, USB-C cable, camera, hub, and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_da022928-5444-4766-a00b-a247ab31517e.jpg?v=1782281544\"\u003e\u003cp\u003eJetson AGX Thor 128GB kit seçenekleri, kartı bir güç adaptörü, USB‑C kablosu, DP‑to‑HDMI kablosu, USB endüstriyel kamera, SSD muhafazası, USB 3.0 hub ve isteğe bağlı NVMe SSD ve dokunmatik ekran eklentileri ile bir araya getirir.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"1TB \/ Geliştirici Kiti","offer_id":53135903555808,"sku":"6000101391-1","price":6003.8,"currency_code":"USD","in_stock":true},{"title":"1TB \/ Vision Gelişmiş Kiti","offer_id":53135903588576,"sku":"6000101391-2","price":6134.6,"currency_code":"USD","in_stock":true},{"title":"1TB \/ AI Büyük Model Kiti","offer_id":53135903621344,"sku":"6000101391-3","price":6170.6,"currency_code":"USD","in_stock":true},{"title":"1TB \/ Sonuç Seti","offer_id":53135903654112,"sku":"6000101391-4","price":6500.6,"currency_code":"USD","in_stock":true},{"title":"2TB \/ Geliştirici Kiti","offer_id":53135903686880,"sku":"6000101391-5","price":6459.8,"currency_code":"USD","in_stock":true},{"title":"2TB \/ Vision Gelişmiş Kiti","offer_id":53135903719648,"sku":"6000101391-6","price":6590.6,"currency_code":"USD","in_stock":true},{"title":"2TB \/ AI Büyük Model Kiti","offer_id":53135903752416,"sku":"6000101391-7","price":6626.6,"currency_code":"USD","in_stock":true},{"title":"2TB \/ Sonuç Seti","offer_id":53135903785184,"sku":"6000101391-8","price":6956.6,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/JetsonAGXThorDeveloperKit_4.jpg?v=1782125531"},{"product_id":"jetson-nano-b01-developer-kit","title":"NVIDIA Jetson Nano 4GB B01 Geliştirici Kiti Edge AI\/ROS için - A57 1.43GHz, 128 çekirdekli Maxwell GPU","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eJetson NANO 4GB B01 AI Büyük Model Geliştirici Kiti, AI ile başlamayı kolaylaştırmak için tasarlanmış kompakt bir geliştirici kitidir (geliştirici kartı platformu). Görüntü sınıflandırma, nesne tespiti, segmentasyon ve ses işleme gibi uygulamalar için birden fazla sinir ağını paralel olarak çalıştırabilir ve sadece 5 watt ile çalışabilir.\u003c\/p\u003e\u003cp\u003eBu Jetson Nano platformu, 4GB LPDDR belleğe sahip bir quad-core ARM Cortex-A57 işlemci ve 128 çekirdekli Maxwell GPU kullanır ve TensorFlow, PyTorch, Caffe\/Caffe2, Keras ve MXNet gibi popüler AI çerçevelerini ve algoritmalarını destekler.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eCPU: Quad-core ARM A57 @ 1.43 GHz\u003c\/li\u003e\n\u003cli\u003eGPU: 128 çekirdekli Maxwell\u003c\/li\u003e\n\u003cli\u003eAI hesaplama gücü: 473 GFLOPS (sağlanan metinde 472 GFLOP olarak da belirtilmiştir)\u003c\/li\u003e\n\u003cli\u003eDüşük güç tüketimi: sadece 5 W (sağlanan karşılaştırma materyalinde 5 W–10 W olarak da gösterilmiştir)\u003c\/li\u003e\n\u003cli\u003eVideo kodlama: 4K @ 30; 4x 1080p @ 30; 9x 720p @ 30 (H.264\/H.265)\u003c\/li\u003e\n\u003cli\u003eVideo çözümü: 4K @ 60; 2x 4K @ 30; 8x 1080p @ 30; 18x 720p @ 30 (H.264\/H.265)\u003c\/li\u003e\n\u003cli\u003eKamera arayüzü: MIPI CSI-2 DPHY kanalı *2\u003c\/li\u003e\n\u003cli\u003eEkran: HDMI ve DP\u003c\/li\u003e\n\u003cli\u003eAğ \/ genişletme: Gigabit Ethernet; M.2 Anahtar E; M.2 çift bant yüksek hızlı ağ kartını destekler; USB yüksek hızlı ağ kartını destekler\u003c\/li\u003e\n\u003cli\u003eUSB: 4x USB 3.0; USB 2.0 Micro-B\u003c\/li\u003e\n\u003cli\u003eDiğer I\/O listesi: GPIO, I2C, I2S, SPI, UART\u003c\/li\u003e\n\u003cli\u003eBelirtilen güç girişleri: mikro USB, DC güç ve PoE (sağlanan metinde belirtildiği gibi)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eDört çekirdekli ARM A57 @ 1.43 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e128 çekirdek Maxwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI hesaplama gücü\u003c\/td\u003e\n\u003ctd\u003e473 GFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHafıza\u003c\/td\u003e\n\u003ctd\u003e4 GB 64 bit LPDDR4 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo kodlayıcı\u003c\/td\u003e\n\u003ctd\u003e4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo dekoder\u003c\/td\u003e\n\u003ctd\u003e4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKamera arayüzü\u003c\/td\u003e\n\u003ctd\u003eMIPI CSI-2 DPHY kanalı *2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBağlantı\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet, M.2 Anahtar E\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEkran\u003c\/td\u003e\n\u003ctd\u003eHDMI ve DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4 USB 3.0, USB 2.0 Micro-B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eİnternet (belirtilen şekilde)\u003c\/td\u003e\n\u003ctd\u003eUSB yüksek hızlı ağ kartını destekler; M. desteği sağlar.2 çift bant yüksek hızlı ağ kartı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDiğer\u003c\/td\u003e\n\u003ctd\u003eGPIO, I2C, I2S, SPI, UART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyut\u003c\/td\u003e\n\u003ctd\u003e100 mm x 80 mm x 29 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDepolama Notları (Resmi Demo vs SUB Versiyonu)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSağlanan karşılaştırma materyali iki varyantı listeliyor: \u003cstrong\u003eJetson Nano 4GB Geliştirici Kiti (SUB)\u003c\/strong\u003e ve \u003cstrong\u003eJetson Nano 4GB Geliştirici Kiti (Resmi Demo)\u003c\/strong\u003e. \u003c\/li\u003e\n\u003cli\u003eSUB depolama (gösterilen): \u003cstrong\u003e16GB eMMC\u003c\/strong\u003e. Materyal, kartın harici depolama olmadan başlatılabileceğini ve 16GB eMMC'nin normal geliştirme ihtiyaçlarını karşıladığını ve resmi sistem imaj dosyasıyla uyumlu olduğunu belirtmektedir.\u003c\/li\u003e\n\u003cli\u003eResmi Demo depolama (gösterilen): \u003cstrong\u003emicroSD (Dahil değil)\u003c\/strong\u003e. Materyal, kullanıcıların bir TF kartı (microSD) satın alması ve sistemi başlatmak için sistem imaj dosyasını yazması gerektiğini belirtmektedir.\u003c\/li\u003e\u003cli\u003eEğer bir proje için depolama kapasitesi yetersizse, malzeme durumu kapasitesinin bir USB disk veya TF kart kullanılarak genişletilebileceğini belirtmektedir.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTF Kart \/ Sistem Görüntüsü Notu\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSağlanan malzeme şunu belirtmektedir: “Gönderim listesinde yer alan TF kartları, sistem görüntüsü ile yazılmıştır.”\u003c\/li\u003e\n\u003cli\u003eSağlanan malzeme ayrıca şunu belirtmektedir: “Kiti içeren tüm versiyonlar 64GB TF kart içermektedir.”\u003c\/li\u003e\n\u003cli\u003eBaşka bir not, resmi sistem görüntüsü + AI ortam yapılandırmasının 32GB'ı aşabileceğini belirtmekte ve 64GB veya daha büyük bir U disk\/TF kart kullanılması önerilmektedir.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eEğitim Videoları\u003c\/h2\u003e\u003cp\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/c3X-oz8DKCA\" title=\"🦞OpenClaw Skills on Your Jetson nano B01 Board!\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/1VGrsyxVahs\" title=\"Turn Your Jetson Nano into an AI Chatbot! #ai #AIChatbot #EdgeAI #JetsonNano\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKurs \/ Eğitim İçeriği (sağlandığı gibi)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHaziran 2026'da güncellendi\u003c\/strong\u003e: Açık Pençe dağıtım ve uygulama eğitimleri (YENİ). İki etkileşim yöntemi belirtilmiştir: WAP ve ses modülleri.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eGelişmiş ROS Eğitimleri\u003c\/strong\u003e (SICAK): ROS1 ve ROS2 temelleri ve ilgili öğrenim materyalleri gösterilmektedir.\u003c\/li\u003e \n\u003cli\u003e\n\u003cstrong\u003eGelişmiş AI Görüş Geliştirme Eğitimleri\u003c\/strong\u003e (SICAK): yerleşik kamera eğitimi, USB harici kamera testi, Jetson-Inference ortamı oluşturma, DeepStream ortamı oluşturma ve daha fazlasını içermektedir (aşağıdaki taslakta listelenmiştir).\u003c\/li\u003e \n\u003c\/ul\u003e\u003ch3\u003eJetson Nano B01 Kurs Taslağı (alıntı)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHızla başlayın\u003c\/strong\u003e: 1. Rotayı öğrenin; 2. Hızlı başlangıç eğitimi\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetson Nano B01 Temel Eğitimi\u003c\/strong\u003e: 1. Jetson Nano B01'e giriş; 2. Sistem görüntüsünü flaşla; 3. Flaşlanmış SD'yi yeniden oku; 4. Jetson Nano B01 başlat; 5. Resmi görüntüyü yaz (SDK)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetson Nano B01 SUB kartı temel eğitimi\u003c\/strong\u003e: 1. Jetson Nano B01 SUB kartına giriş; 2. EMMC sistem görüntüsünü yaz\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTF başlatma\u003c\/strong\u003e: 1.Jetson Nano SUB TF kart başlangıcı ve ölçeklendirme; 2. TF kart sistem imajı yaz; 3. Flash'lanmış SD diski yeniden oku; 4. TF kartı başlat\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eU disk başlangıcı\u003c\/strong\u003e: 1. EMMC başlat yaz; 2. U disk sistemi yaz; 3. Flash'lanmış U diski yeniden oku; 4. Jetson Nano SUB başlangıcı\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSistem temel kurulum kılavuzu\u003c\/strong\u003e: 1. Jetson Nano B01 sistemi ve masaüstüne giriş; 2. SD kart genişletme; 3. Ağ yapılandırması; 4. SSH Telnet \u0026amp; Dosya Transferi; 5. VNC uzaktan giriş; 6. Jetson Nano B01 sistem yedeği; 7. Jetson Nano B01 takas alanı artırıldı; 8. Jtop'un kurulumu ve kullanımı\u003c\/li\u003e \n\u003cli\u003e\n\u003cstrong\u003eGPIO donanım kontrol kılavuzu\u003c\/strong\u003e: 1. GPIO kütüphanelerinin API kullanımı; 2. Jetson Nano B01 donanım kütüphanesi yapılandırması; 3. Pin okuma fonksiyonu; 4. Pin seviye çıkış kontrolü; 5. LED kontrolü; 6. Jetson Nano B01'in harici cihaz seri portları ile iletişimi; 7. Jetson Nano B01 I2C iletişimi\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI ileri düzey görsel kılavuz\u003c\/strong\u003e: 1. 1. Yerleşik kamera eğitimi; 2. USB harici kamera testi; 3. Jupyter lab ve Jetcham kurulumu; 4. TensorFlow'u yükle (isteğe bağlı); 5. Jetson-Inference ortamı oluşturma (isteğe bağlı); 6. Merhaba AI Dünyası; 7. Görüntü sınıflandırma akıl yürütmesi; 8. Nesne tespiti akıl yürütmesi; 9. Anlamsal segmentasyon; 10. Poz tahmini; 11. Eylem tanıma; 12. Arka plan kaldırma; 13. Monoküler derinlik tahmini; 14. DeepStream ortamı oluşturma (isteğe bağlı); 15. Otomotiv Muayenesi; 16. yolo5'e giriş; 17. YOLO5 ortamı oluşturma (isteğe bağlı); 18. yolo5'in gerçek zamanlı tespiti; 19. yolo5 + tensorrt hızlandırması; 20. yolo5 + tensorrt hızlandırması + Deep Stream (açık kamera); 21. Mediapipe ortamı oluşturma (isteğe bağlı); 22. Mediapipe geliştirme; 23. Beni Oku\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eYOLOv11 \/ YOLO26 Gelişmiş Kullanım\u003c\/strong\u003e (YENİ): 00. Çalıştırmadan önce okunması gerekenler; 01. YOLOv11 ortamı oluşturma; 02. CLI Kullanımı; 03. Nesne Tespiti; 04. Örnek Segmentasyonu; 05. Poz Tahmini; 06.Görüntü Sınıflandırması; 07. Yönlendirilmiş sınırlayıcı kutu nesne tespiti; 08. Model dönüştürme\u003c\/li\u003e \n\u003cli\u003e\n\u003cstrong\u003eROS1 temel kursu\u003c\/strong\u003e: 1. ROS'a Giriş; 2. Proje dosya yapısı; 3. Yaygın komutlar ve araçlar; 4. Yayıncı; 5. Aboneler; 6. Konu mesajlarını özelleştirme ve kullanma; 7. İstemci; 8. Sunucu; 9. Hizmet mesajlarını ve kullanımını özelleştirme; 10. TF sürümü ve izleme\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS1 görsel görüntü işleme kursu\u003c\/strong\u003e: 1. AR görselliği; 2. AR QR kodu; 3. ROS+OpenCV temeli; 4. ROS+OpenCV uygulaması; 5. MediaPipe geliştirme\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 temel kursu\u003c\/strong\u003e: 1. ROS2'ye Giriş; 2. ROS2'yi Humble olarak yükleme; 3. ROS2 geliştirme ortamı; 4. ROS2 çalışma alanı; 5. ROS2 işlev paketi; 6. ROS2 düğümü; 7. ROS2 konu iletişimi; 8. ROS2 hizmet iletişimi; 9. ROS2 eylem iletişimi; 10. ROS2 özel arayüz mesajı; 11. ROS2 parametre hizmet durumu; 12. ROS2 meta-fonksiyon paketi; 13. ROS2 dağıtılmış iletişim; 14. ROS2 DDS; 15.ROS2 zaman ile ilgili API; 16. ROS2 ortak komut araçları; 17. ROS2 rviz2 kullanımı; 18. ROS2 rqt araç kutusu; 19. ROS2 Başlatma başlangıç dosyası yapılandırması; 20. ROS2 kayıt ve oynatma aracı; 21. ROS2 URDF modeli; 22. ROS2 Gazebo simülasyon platformu; 23. ROS2 TF2 koordinat dönüşümü\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocker Kursu\u003c\/strong\u003e: 1. Genel bakış ve kurulum; 2. Ortak komutlar; 3. Görüntüleri anlama ve yayınlama; 4. Donanım etkileşimi veri işleme; 5. Docker konteynerine girme; 6. Docker görüntülerini güncelleme\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenCV görüntü işleme kursu\u003c\/strong\u003e: 1. OpenCV Temel Kursu; 2. ROS+opencv uygulaması; 3. QR kodu tanıma; 4. AR Görüş; 5. Mediapipe\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eÇevrimdışı AI büyük model eğitimleri\u003c\/strong\u003e: 0. AI büyük model sistem görüntü talimatları; 1. AI büyük model ortam dağıtımı; 2. Büyük model diyalog platformu kurulum; 3. Meta AI Llama 3.2 modeli; 4. Alibaba Cloud Qwen2 modeli; 5. Alibaba Cloud Qwen3 modeli; 6. SUTD TinyLlama; 7. DeepSeek DeepSeek-R1 modeli; 8. Microsoft Phi-3; 9. Microsoft Orca Mini; 10. NVIDIA StarCoder2; 11. Google Gemma3 Görsel Çok Modlu Büyük Model; 12. Çevrimdışı Metinden Sese (TTS); 13. Çevrimdışı Sesten Metne (ASR)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eÇevrimiçi büyük model eğitimleri\u003c\/strong\u003e: 1. OpenRouter büyük model API toplama platformu; 2. Çok modlu görsel anlama uygulaması; 3. Çok modlu görsel konumlandırma uygulaması; 4. Çok modlu tablo tarama uygulaması; 5. Çok modlu otonom proxy uygulaması\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eÇevrimiçi büyük model (Ses etkileşimi)\u003c\/strong\u003e: 0. Ses etkileşimi donanım bağlantısı (ReadMe); 1. Çevrimdışı sesten metne (ASR); 2. Çevrimdışı metinden sese (TTS); 3. AI büyük model ses etkileşimi; 4. Çok modlu görsel anlama ses etkileşimi; 5. Çok modlu görsel konum uygulaması; 6. Çok modlu tablo tarama uygulaması; 7. Çok modlu otonom proxy uygulaması; 8. AI büyük model çevrimdışı sesli asistan\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenClaw dağıtımı ve temel kullanımı\u003c\/strong\u003e: 1.OpenClaw Dağıtımı; 2. OpenClaw WAP eklenti uygulaması; 3. OpenClaw WebChat etkileşimi; 4. OpenClaw TUI etkileşimi; 5. OpenClaw araçları tanıtımı; 6. OpenClaw Gate geçit kullanıcı kılavuzu; 7. OpenClaw özellikleri genel bakış; 8. OpenClaw hub tanıtımı (Yetenek kurulumu); 9. OpenClaw uygulama-dosya yönetimi; 10. OpenClaw uygulama-kamera; 12. OpenClaw uygulama-script yürütme; 13. OpenClaw uygulama-programlama (Aygıt \u0026amp; GPIO Kontrolü); 14. OpenClaw uygulama-özel AI Asistan\u003c\/li\u003e \n\u003cli\u003e\n\u003cstrong\u003eOpenClaw kullanımdan önce hazırlık\u003c\/strong\u003e: 1. Aygıt donanım yapılandırması; 2. OpenClaw API-KEY yapılandırması; 3. OpenClaw anahtarlama modeli; 4. OpenClaw istemci kelimeleri; 5. AI ses etkileşimi yapılandırması; 6. 3D şeması yapılandırma testleri\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenClaw Aygıt Aktif programlama (Aygıt kontrolü)\u003c\/strong\u003e: 1. Servo kontrol; 2. RGB ışık şeridi; 3. OLED\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenClaw genişletme ileri düzey geliştirme\u003c\/strong\u003e: 1.Sıcaklık ve nem sensörleri; 2. Kamera uygulaması; 1. Bitki bakım asistanı; 2. AI-isı tahmini; 3. AI-Tahmin Palm Oyunu; 4. AI Evcil Hayvan; 5. AI Meteorolojik İstasyonu; 6. Sıcaklık hassasiyeti ölçer; 7. Planlı görevler\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003ePaketleme Listesi (gösterilen notlar)\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eSağlanan malzeme durumu: ayrı kart çalışması bir güç adaptörü ve 64G bellek kartı gerektirir.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eKenar AI prototipleme: görüntü sınıflandırma, nesne tespiti, segmentasyon, ses işleme\u003c\/li\u003e\n\u003cli\u003eROS öğrenimi ve robotik geliştirme (ROS sistemi \/ ROS robotu sağlanan malzeme içinde desteklenen öğrenim hedefleri olarak gösterilmektedir)\u003c\/li\u003e\n\u003cli\u003eBilgisayarla görme ve MIPI CSI-2 (2 kanal) veya USB kameralar aracılığıyla kamera tabanlı projeler (kurs taslağında referans verilmiştir)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eSipariş onayı için (depolama varyantı, dahil edilen aksesuarlar) veya entegrasyon soruları için (M.2 Anahtar E WiFi kartları, kameralar, güç), iletişim için support@rcdrone.top or ziyaret https:\/\/rcdrone.top\/ . \u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetaylar\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit.jpg?v=1782279634\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_73ba290c-450f-481c-9f6a-d08439efaf8c.jpg?v=1782279644\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_504cb47e-8704-428d-9c77-ee582e003072.jpg?v=1782279649\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_6753721e-1c76-4e2b-a075-c7606003124d.jpg?v=1782279655\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_e8f8d929-4001-4b57-9a5d-f0afe60eeace.jpg?v=1782279661\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_f05bab6a-5f5c-4c68-96ec-a7be78c2d047.jpg?v=1782279668\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_d59df255-312e-4526-a044-e851af5d0e98.jpg?v=1782279673\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_6f0d5489-332e-4e31-a7cf-941c0e96353f.jpg?v=1782279679\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_f3e2dbdd-7266-42ac-894d-e35244eb582c.jpg?v=1782279686\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_52b1309a-1402-4cd1-ab6c-1c0f17a8da33.jpg?v=1782279692\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_4f49b6d5-ea54-42c2-9116-8935df1e4d35.jpg?v=1782279698\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_89d624ca-e46e-4210-ac9e-5860aab53760.jpg?v=1782279704\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_17bf422d-9321-4143-9ebf-1431cd1c2249.jpg?v=1782279710\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_88090b0b-313d-4d16-9968-345c697f9883.jpg?v=1782279717\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_177cde6b-cd5b-4542-84f7-ec9424965480.jpg?v=1782279723\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_c99f5691-7f9c-46c0-9c2f-2ca62a98226b.jpg?v=1782279730\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_5355a38f-db27-4269-b9c5-1489d5aaffd9.jpg?v=1782279737\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_fbbd6d6b-f5ba-4209-bc19-cc109e7b7596.jpg?v=1782279742\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_4c7e8367-8141-42dc-b096-1a78f3759ebe.jpg?v=1782279748\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_084ed7e0-0d37-4749-8694-b0360317881a.jpg?v=1782279754\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_f9d7c181-7091-4d6d-bab6-36ae105b2342.jpg?v=1782279761\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_b0ad5030-42eb-4183-9a8c-0652afecb052.jpg?v=1782279767\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_48803e89-d3a1-4d68-b723-be51910d4bb0.jpg?v=1782279773\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_bb7c07bd-2ef7-4a49-bab8-684965ee160d.jpg?v=1782279778\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_24e0db5f-5821-49a5-b165-e1f5d7bf856d.jpg?v=1782279784\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_607fda95-eb4f-4d7a-8393-f96edada95b5.jpg?v=1782279790\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_30320282-a1fd-4738-9737-eaaa69f4a367.jpg?v=1782279796\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_8da6e9bd-4955-4c7b-a5c5-a0cb00448865.jpg?v=1782279802\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_fc6b55cd-8ce8-4521-9dc6-2ab47ad838c2.jpg?v=1782279807\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_62fbed96-8372-4de2-91d1-f21eb1521f2c.jpg?v=1782279813\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_8a66614f-0b4d-4822-a6f8-39e8bb91037c.jpg?v=1782279819\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_170da484-8231-467f-bc7f-fff6ac591f40.jpg?v=1782279824\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_8e4153b0-3939-46af-9517-1d7f5671648e.jpg?v=1782279829\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_9127ae87-61d4-4238-92dd-9c7494317d07.jpg?v=1782279835\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_9a49cbe2-e98b-46b8-97ea-64293aee7a81.jpg?v=1782279841\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_c359baf3-6fc1-4553-87fa-5ffbfc279003.jpg?v=1782279847\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_3031e077-f663-497f-9a8b-066368a728d1.jpg?v=1782279853\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"B01 ALT \/ Ayrı Tahta","offer_id":53136023519456,"sku":"6974857383095-1","price":291.8,"currency_code":"USD","in_stock":true},{"title":"B01 ALT \/ Temel Kiti","offer_id":53136023552224,"sku":"6974857383095-2","price":303.8,"currency_code":"USD","in_stock":true},{"title":"B01 ALT \/ Genişletme Kiti","offer_id":53136023584992,"sku":"6974857383095-3","price":315.8,"currency_code":"USD","in_stock":true},{"title":"B01 ALT \/ Kamera Kiti","offer_id":53136023617760,"sku":"6974857383095-4","price":339.8,"currency_code":"USD","in_stock":true},{"title":"B01 ALT \/ WIFI Gelişmiş Kiti","offer_id":53136023650528,"sku":"6974857383095-5","price":363.8,"currency_code":"USD","in_stock":true},{"title":"B01 ALT \/ AI Büyük Model Kiti","offer_id":53136023683296,"sku":"6974857383095-6","price":399.8,"currency_code":"USD","in_stock":true},{"title":"B01 ALT \/ OpenClaw Kiti","offer_id":53136023716064,"sku":"6974857383095-7","price":433.4,"currency_code":"USD","in_stock":true},{"title":"B01 ALT \/ Mini PC Kiti","offer_id":53136023748832,"sku":"6974857383095-8","price":399.8,"currency_code":"USD","in_stock":true},{"title":"B01 ALT \/ Geliştirici Kiti","offer_id":53136023781600,"sku":"6974857383095-9","price":435.8,"currency_code":"USD","in_stock":true},{"title":"B01 ALT \/ Sonuçta Kit","offer_id":53136023814368,"sku":"6974857383095-10","price":599.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/JetsonNANO_SUB_Yahboom_01_ddaff196-693a-4454-9b43-74b731487368.jpg?v=1782126387"},{"product_id":"jetson-orin-nano-super-devkit","title":"NVIDIA Jetson Orin NANO SUPER Geliştirici Kiti (SUB\/Resmi) 4GB\/8GB RAM 34\/67 TOPS AI \u0026 ROS için","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eJetson Orin NANO SUPER Geliştirici Kiti, NVIDIA Jetson Orin Nano çekirdek modülü ve bir Jetson Orin Nano taşıyıcı kart etrafında inşa edilmiş bir Geliştirici Kitidir. 4GB ve 8GB RAM versiyonları mevcuttur ve sırasıyla 34 TOPS (Orin Nano SUPER 4GB) veya 67 TOPS (Orin Nano SUPER 8GB) AI hesaplama gücü sunar. Yahboom taşıyıcı kartı, resmi NVIDIA taşıyıcı kartı ile performans, yerleşik kaynaklar, boyut ve arayüz düzeni açısından eşleşmektedir.\u003c\/p\u003e\u003cp\u003eBu kit, sistem hazır bir depolama kurulumu (önceden yazılmış sistem görüntüsü ile 256GB M.2 SSD), ayrıca bir kablosuz ağ kartı ve antenler ile bir güç adaptörü ile birlikte sağlanmaktadır.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"580\" src=\"https:\/\/www.youtube.com\/embed\/6W86vzn0KI0\" title=\"Add OpenClaw on your NVIDIA Jetson ORIN NANO. Jetson ORIN NX Board.\" width=\"640\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/ZmwJUynYuZ4\" title=\"Build the NEXT BIG AI Product with This! | NVIDIA Jetson Orin Offline AI Model Developer Kit\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/jxcnhx66eGI\" title=\"Jetson Orin NANO SUPER Developer Kit(SUB\/Official) with 4GM\/8GB RAM(34TOPS\/67TOPS)\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eİki bellek seçeneği: 4GB \/ 8GB RAM.\u003c\/li\u003e\n\u003cli\u003eAI hesaplama gücü: 34 TOPS (Orin Nano SUPER 4GB) \/ 67 TOPS (Orin Nano SUPER 8GB).\u003c\/li\u003e\u003cli\u003eTaşıyıcı kart uyumluluğu: Yahboom taşıyıcı kartı, NVIDIA Jetson Orin Nano çekirdek modülü ile uyumludur; stabil güç kaynağı.\u003c\/li\u003e\n\u003cli\u003eGüç modları (SÜPER): maksimum güç modu 25W'a kadar destekler (güncellemeden önce 15W'a kadar ile karşılaştırıldığında).\u003c\/li\u003e\n\u003cli\u003ePoE güç kaynağını destekler (kit özellik vurgularında belirtildiği gibi).\u003c\/li\u003e\n\u003cli\u003eÖnceden yüklenmiş sistem depolama: önceden yazılmış sistem görüntüsü ile 256GB M.2 SSD.\u003c\/li\u003e\n\u003cli\u003eKablosuz dahil: çift bant kablosuz ağ kartı BT 5.0 ve çift bant Wi-Fi'yi destekler; çift 3dB yüksek kazançlı antenler içerir; iletim hızları 867Mbps'a kadar.\u003c\/li\u003e\n\u003cli\u003eROS ve AI görselliği için sağlanan eğitim kaynakları; sistem görüntüleri sağlanmıştır.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ch3\u003eJetson Orin Nano SUPER Varyant Özellikleri (sağlanan karşılaştırma tablosundan)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003cth\u003eParametre\u003c\/th\u003e\n\u003cth\u003eOrin Nano SUPER 4GB\u003c\/th\u003e\n\u003cth\u003eOrin Nano SUPER 8GB\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU mimarisi\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere mimarisi\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere mimarisi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA \/ Tensor çekirdekleri\u003c\/td\u003e\n\u003ctd\u003e512 CUDA Çekirdeği \/ 16 Tensor Çekirdeği\u003c\/td\u003e\n\u003ctd\u003e1,024 CUDA Çekirdeği \/ 32 Tensor Çekirdeği\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU maksimum frekansı\u003c\/td\u003e\n\u003ctd\u003e1020 MHz\u003c\/td\u003e\n\u003ctd\u003e1020 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI hesaplama gücü\u003c\/td\u003e\n\u003ctd\u003e34 TOPS (Seyrek), 17 TOPS (Yoğun)\u003c\/td\u003e\n\u003ctd\u003e67 TOPS (Seyrek), 33 TOPS (Yoğun)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e6 çekirdekli Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU maksimum frekansı\u003c\/td\u003e\n\u003ctd\u003e1.7 GHz\u003c\/td\u003e\n\u003ctd\u003e1.7 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÖZEL int hızı\u003c\/td\u003e\n\u003ctd\u003e118\u003c\/td\u003e\n\u003ctd\u003e118\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR5 (51 GB\/s)\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 (102 GB\/s)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGüç\u003c\/td\u003e\n\u003ctd\u003e7W \/ 10W \/ 25W\u003c\/td\u003e\n\u003ctd\u003e7W \/ 15W \/ 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepolama\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eSD kart veya harici NVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKamera arayüzü\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e2-kanallı CSI arayüzü (22pin, 0.5mm aralık)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo çıkış arayüzü\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eDP arayüzü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVeri iletim arayüzü\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eType-C arayüzü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Anahtar arayüzü\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eM.2 Anahtar E + M.2 Anahtar M*2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003ePerformans Yükseltme Notları (sağlanan materyallerde belirtildiği gibi)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eHesaplama performansı yaklaşık %70 arttı.\u003c\/li\u003e\n\u003cli\u003eCPU frekansı %13 arttı.\u003c\/li\u003e\n\u003cli\u003eHafıza bant genişliği %50 arttı.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eEğitimler \u0026amp; Sistem Görüntüsü\u003c\/h2\u003e\u003cul\u003e \n\u003cli\u003eSistem görüntüsü, sevkiyat öncesinde SSD'ye yazılır.\u003c\/li\u003e\n\u003cli\u003eJetson Orin NANO çekirdek modülü eMMC depolama alanına sahip olmadığından, çalışması için bir NVMe sürücüsü gereklidir; daha hızlı ve akıcı bir deneyim için SSD önerilir.\u003c\/li\u003e\n\u003cli\u003eMalzemeler “Orijinal malzemeler \u0026amp; Sürekli güncelleniyor” (Haziran 2026'da güncellendi) olarak işaretlenmiştir.\u003c\/li\u003e\n \u003cli\u003eÜcretsiz sistem görüntüsü, YOLO26 geliştirme ortamı için belirtilmiştir (YOLO26).\u003c\/li\u003e\n\u003cli\u003eKurs sayıları: Jetson Orin Nano temel kullanım kılavuzu (toplam 30 kurs), Jetson Orin Nano ROS geliştirme kursu (toplam 57 kurs), Jetson Orin Nano AI görsel ileri geliştirme kursu (toplam 14 kurs).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin Nano çekirdek modülü + Jetson Orin Nano taşıyıcı kartı (Geliştirici Kiti).\u003c\/li\u003e\n\u003cli\u003eÖnceden yazılmış sistem görüntüsüne sahip 256GB M.2 SSD.\u003c\/li\u003e\u003cli\u003eKablosuz ağ kartı ve antenler (çift bantlı Wi-Fi + BT 5.0; çift 3dB yüksek kazançlı antenler; 867Mbps'ye kadar).\u003c\/li\u003e\n\u003cli\u003eGüç adaptörü.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSeçenekler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSSD kiti olmadan isteğe bağlı:\u003c\/strong\u003e kullanıcı 256GB veya daha yüksek kapasiteli bir SSD sağlar.\u003c\/li\u003e\n\u003cli\u003e SSD arayüz desteği belirtilmiştir: M.2 Anahtar M ve M.2 Anahtar B+M katı hal depolama cihazları; 2280 boyutu önerilmektedir.\u003c\/li\u003e\n\u003cli\u003e“SSD Kiti Yok” ifadesi, sağlanan sistem görüntüsünü kullanıcı tarafından sağlanan bir SSD'ye yazmak için bir SSD flaşlama muhafazası ve flaşlama kılavuzları içerdiğini belirtmektedir.\u003c\/li\u003e\n\u003cli\u003eKablosuz kart notu: Jetson Orin Nano SUPER 8GB resmi kiti bir M.2 ağ kartı ile birlikte gelir; yalnızca bir harici anten sağlanmaktadır.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUygulamalar\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAI görsel geliştirme, ROS öğrenme ve geliştirme, ve kenar bilişim projeleri.\u003c\/li\u003e\n\u003cli\u003eÇevrimdışı ve çevrimiçi AI büyük model geliştirme materyallerinin sağlanan kaynaklarda mevcut olduğu belirtilmiştir.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003eSeçim rehberi için (4GB vs 8GB, SSD vs SSD olmayan seçenek) ve satış sonrası destek için https:\/\/rcdrone.top\/ ile iletişime geçin veya support@rcdrone.top. \u003c\/p\u003e\u003ch2 id=\"details\"\u003e Ayrıntılar\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e için e-posta gönderin.\n\u003cimg alt=\"Jetson robotics application examples using NVIDIA Jetson developer kits for AI and ROS projects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with.jpg?v=1782278105\"\u003e\u003cp\u003eJetson destekli hesaplama kullanarak mobil robotlar, dört ayaklılar ve görsel destekli otomasyon projeleri oluşturun.\u003c\/p\u003e\n\u003cimg alt=\"Promo banner for Jetson Orin NX SUPER module with TOPS highlights and carrier board reference\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_e306293a-1cd7-4e48-a82f-7812feaa391f.jpg?v=1782278116\"\u003e\u003cimg alt=\"Promo banner for Jetson AGX Orin with 275 TOPS claim and compact developer kit enclosure\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_4bc0183b-56e2-4346-81bf-ce4da3fb4195.jpg?v=1782278121\"\u003e\u003cimg alt=\"Promo banner for Jetson AGX Thor with TFLOPS highlights and front I\/O ports on compact case\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_3c316912-9892-475e-88c3-4bc4f12200d9.jpg?v=1782278127\"\u003e\u003cimg alt=\"NVIDIA Jetson Orin Nano SUPER Developer Kit package with carrier board, cooling fan, and key features icons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_82f54d44-70a0-4786-a5ab-06b79f54214e.jpg?v=1782278134\"\u003e\u003cp\u003e4GB veya 8GB RAM seçin ve hızlı başlatma için yerleşik I\/O, soğutma ve dahil edilen aksesuarlarla birlikte sistem hazır bir kit alın.\u003c\/p\u003e\n\u003cimg alt=\"Overview of included OpenCV example projects and continuously updated AI\/ROS learning materials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_633fa0cb-9e00-404e-aaa8-103b2cf7b9fc.jpg?v=1782278141\"\u003e\u003cp\u003eEğitim kaynakları ve örnek kodlar, AI görseli, büyük model demoları ve ROS geliştirme iş akışları ile hızlı bir başlangıç yapmanıza yardımcı olur.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Jetson Orin Nano SUPER performance comparison table highlighting up to 67 TOPS and upgrade notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_37949445-b644-4466-8826-38de1aae5e50.jpg?v=1782278147\"\u003e\u003cp\u003eSUPER yükseltmesi, mevcut hesaplamayı artırır ve daha ağır AI iş yükleri için daha yüksek güç modlarını destekler.\u003c\/p\u003e\n\u003cimg alt=\"Bar charts comparing Orin Nano SUPER gains in TOPS, CPU frequency, and memory bandwidth versus earlier versions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_14709035-9a70-4703-8912-83d0755770db.jpg?v=1782278153\"\u003e\u003cimg alt=\"Power mode screenshots comparing Orin Nano SUPER 25W max power versus 15W before upgrade, with benchmark outputs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_eea2379d-43ab-494a-a18b-fd49d7d78b30.jpg?v=1782278159\"\u003e\u003cp\u003eDaha yüksek maksimum güç modu (25W'a kadar), uygulamanız ihtiyaç duyduğunda ek performans alanı açar.\u003c\/p\u003e\n\u003cimg alt=\"256GB M.2 SSD with pre-written system image and included dual-band Wi‑Fi\/Bluetooth card with antennas\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_536097fa-0411-423b-b2c2-51bceec49078.jpg?v=1782278165\"\u003e\u003cp\u003eÖnceden görüntülenmiş 256GB NVMe SSD artı Wi‑Fi\/BT donanımı, kurulum süresini azaltır, böylece daha hızlı bir şekilde başlatabilir ve geliştirmeye başlayabilirsiniz.\u003c\/p\u003e\u003cimg alt=\"Optional kit version without SSD, including SSD flashing enclosure and notes about supplying your own NVMe drive\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_606dacce-a5f2-4934-83c7-00f327e1fab7.jpg?v=1782278171\"\u003e\u003cp\u003eEğer zaten bir NVMe sürücünüz varsa, no-SSD seçeneği sağlanan muhafaza ve sistem görüntüsü indirmeleri ile flaşlamayı destekler.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Jetson Orin Nano SUPER Developer Kit board image with Jetson computing power bar chart across models\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_184974b6-5a72-4296-9fbc-b68f22cd8971.jpg?v=1782278178\"\u003e\u003cimg alt=\"Course outline screenshot for Jetson Orin Nano SUPER tutorials and training materials download page\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_3256ec20-7be8-4c01-ad4d-d1f940ce8187.jpg?v=1782278184\"\u003e\u003cimg alt=\"Detailed syllabus page listing OpenCV, YOLO, and ROS lesson modules and development topics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_852083bc-39c7-45f5-9920-3a169ebb383a.jpg?v=1782278190\"\u003e\u003cimg alt=\"Folder-style catalog of open-source code and tutorial sets, including ROS2 basics and YOLO\/vision topics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_cba21dc3-98cb-4a41-afc5-b1edb018d7e3.jpg?v=1782278197\"\u003e\u003cp\u003eİndirilebilir kurs klasörleri, örnekleri konuya göre organize eder—temel kurulumdan ROS2 ve bilgisayarla görme boru hatlarına kadar.\u003c\/p\u003e\n\u003cimg alt=\"Offline\/online AI large-model development materials with visual understanding, text-to-picture, and localization demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_1994c679-7b2c-42b1-850d-d197095d68ac.jpg?v=1782278203\"\u003e\u003cp\u003eÖrnek uygulamalar, görsel Q\u0026amp;A, görüntü üretimi ve kenar donanımında konumlandırma gibi çok modlu AI görevlerini kapsar.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Isaac ROS development tutorial topics including DNN stereo depth, 3D mapping, object detection, and pose estimation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_fe3c504c-570b-40ee-a7d4-92023c226fa0.jpg?v=1782278209\"\u003e\u003cp\u003eIsaac ROS eğitim içeriği, derinlik, haritalama, tespit ve poz tahmini gibi yaygın robotik algılama yığınlarını destekler.\u003c\/p\u003e\n\u003cimg alt=\"OpenCV advanced development materials featuring browser control, automation programming, and interactive demo examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_5647cbc4-32d3-430b-9575-df23b04c126b.jpg?v=1782278216\"\u003e\u003cimg alt=\"Banner showing an M.2 SSD and USB enclosure with note about writing the system image file to the SSD\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_a8c209a8-9187-4604-9df7-2f30e89cb480.jpg?v=1782278221\"\u003e\u003cp\u003eOpsiyonel bir M.2 SSD muhafazası, sistem görüntü dosyasını SSD'ye yazmak için DIY kurulumda kullanılabilir.\u003c\/p\u003e\n\u003cimg alt=\"Promotional slide for a Jetson LLM case, listing DeepSeek-R1, Qwen, Meta and LLaVA for multimodal vision and text demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_bc5bc572-5246-4bb5-b144-c0ff5738e142.jpg?v=1782278227\"\u003e\u003cp\u003eİçerik dahil edilen AI öğrenme materyalleri, derin anlamlandırma ve görsel tanıma için DeepSeek-R1, Qwen, Meta ve LLaVA kullanarak çok modlu LLM demolarını kapsar.\u003c\/p\u003e\u003cimg alt=\"Jetson Orin Nano SUPER performance infographic showing LLM, vision transformer, and VLM speedup benchmarks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_89b6b29e-ee34-4ade-95a0-fca0e3e6a747.jpg?v=1782278233\"\u003e\u003cp\u003eJetson Orin Nano SUPER benchmark sonuçları, temel yapılandırmaya göre bir yükseltme sonrası popüler LLM'ler, görsel dönüştürücüler ve VLM'ler arasındaki göreceli performans kazançlarını özetlemektedir.\u003c\/p\u003e\n\u003cimg alt=\"Acrylic and aluminum alloy mini case options for NVIDIA Jetson Orin Nano SUPER, with fan, RGB and OLED panel\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_ab068c88-4b16-44a5-9f44-4c539e2b10b1.jpg?v=1782278239\"\u003e\u003cp\u003eİsteğe bağlı akrilik veya alüminyum alaşımlı mini kasalar, düzenli bir Jetson Orin Nano SUPER kurulumu için bir güç\/sıfırlama düğmesi, soğutma fanı, RGB ışık çubuğu ve OLED ekran ekler.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Jetson Orin Nano developer kit board with cooling fan, dual 22-pin CSI camera support and expansion module setup\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_3debfbeb-3475-450a-bdba-5dff11f5afe7.jpg?v=1782278252\"\u003e\u003cp\u003eJetson Orin Nano geliştirici kiti, iki 22 pinli CSI kamerayı destekler ve prototipleme için ses ve OpenCV genişletme modülleri ile eşleştirilebilir.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Jetson Orin Nano SUPER dev kit board with fan, 40-pin GPIO, USB-C, dual USB 3.0, RJ45, DP and camera port\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_3d0cdebd-4df0-443f-9755-63c021f5651a.jpg?v=1782278257\"\u003e\u003cp\u003eJetson Orin Nano SUPER Geliştirici Kiti, USB-C, çift USB 3.0, RJ45 Ethernet, DisplayPort, 40 pinli GPIO ve 22 pinli kamera arayüzü ile kompakt bir konektör düzeni sunar.\u003c\/p\u003e\n\u003cimg alt=\"Top and bottom view of NVIDIA Jetson Orin Nano SUPER developer kit showing ports, headers, and fan connector layout\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_0976101c-99ae-4ef5-9b8a-bf967d8b0d81.jpg?v=1782278264\"\u003e\u003cp\u003eJetson Orin Nano SUPER geliştirici kiti düzeni, HDMI, Ethernet, USB, CSI kamera konektörü, 40 pinli başlık ve basit entegrasyon için güç arayüzlerini içerir.\u003c\/p\u003e\u003cimg alt=\"Jetson system image info listing Ubuntu 22.04 with CUDA 12.6, TensorRT 10.7, cuDNN 9.6.0 and OpenCV 4.10.0\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_1c4f34ab-511c-4036-99ad-a4d6f91a3bdf.jpg?v=1782278269\"\u003e\u003cp\u003eJetson sistem görüntüsü, Ubuntu 22.04 tabanlıdır ve NVIDIA CUDA 12.6, TensorRT 10.7, cuDNN 9.6.0 ve OpenCV 4.10.0'ı desteklemektedir.\u003c\/p\u003e\n\u003cimg alt=\"Jetson full series comparison table listing Jetson Orin Nano Super 4GB\/8GB and other models with TOPS and RAM\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_d528fe5b-92de-47d9-ac20-9b01d830e0eb.jpg?v=1782278275\"\u003e\u003cp\u003eJetson tam seri karşılaştırması, Orin Nano Süper 4GB (34 TOPS) ve 8GB (67 TOPS) seçenekleri de dahil olmak üzere Jetson modülleri arasındaki ana farkları listelemektedir.\u003c\/p\u003e\n\u003cimg alt=\"Spec comparison table for NVIDIA Jetson Orin Nano and Orin NX modules with camera, PCIe, USB, display, and power details\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_d7a15abd-cb0e-4987-9e82-8dccfe57b5c5.jpg?v=1782278281\"\u003e\u003cp\u003eJetson Orin Nano ve Orin NX spesifikasyonları, sistem planlaması için desteklenen kameraları, PCIe hatlarını, USB seçeneklerini, ekran çıkışlarını ve güç aralıklarını özetlemektedir.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Jetson Orin Nano SUPER Developer Kit with power adapter, antennas, Wi‑Fi card, and optional SSD kit.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_afc3b347-1b15-4221-b2a6-50c98cf2dcde.jpg?v=1782278287\"\u003e\u003cp\u003eJetson Orin Nano SUPER kitleri genellikle geliştirici kartı, güç adaptörü, antenler ve bir kablosuz ağ kartı ile birlikte gelir; bir SSD kit seçeneği gösterilmektedir.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Orin Nano SUPER kit contents with dev board, power adapter, antennas, Wi‑Fi card, 256GB SSD, cables, acrylic case, and IMX219 camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_2476229a-3990-41ba-a785-46bece675329.jpg?v=1782278294\"\u003e\u003cp\u003eJetson Orin Nano SUPER kitleri, güç adaptörü ile geliştirici kartı, antenler, Wi‑Fi kartı, 256GB SSD, DP‑to‑HDMI ve USB‑C kabloları, bir akrilik kasa ve isteğe bağlı IMX219 kamera modülü içermektedir.\u003c\/p\u003e\u003cimg alt=\"NVIDIA Jetson Orin Nano SUPER developer kit bundles with power adapter, antennas, 256GB SSD, cables and IMX219 camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_69850fa5-a367-4473-9f78-4dc5b35a3f37.jpg?v=1782278299\"\u003e\u003cp\u003eJetson Orin Nano SUPER kitleri, bir geliştirici kartı ile birlikte güç adaptörü, antenler, kablosuz kart, 256GB SSD, kablolar ve bir IMX219 kamera gibi temel bileşenleri içerir; isteğe bağlı olarak bir OpenClaw genişletme seti de mevcuttur.\u003c\/p\u003e\n\u003cimg alt=\"Comparison graphic of Jetson Orin Nano SUPER developer kit bundles with power adapter, antennas, SSD, cables and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_d7fec9ee-b7f9-4af8-9f90-b77756ae5de7.jpg?v=1782278306\"\u003e\u003cp\u003eJetson Orin Nano SUPER geliştirici kitleri, güç adaptörü, antenler, 256G SSD, ekran kablosu, kamera ve kasa seçenekleri gibi yaygın ek bileşenlerle birlikte gösterilmektedir.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"4GB-SUB \/ SSD olmadan geliştirme kiti","offer_id":53136056385760,"sku":"3000101329-1","price":447.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Geliştirici Kiti","offer_id":53136056418528,"sku":"3000101329-2","price":519.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Temel Kiti","offer_id":53136056451296,"sku":"3000101329-3","price":531.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Kamera Gelişmiş Kiti","offer_id":53136056484064,"sku":"3000101329-4","price":555.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ AI Büyük Model Kiti","offer_id":53136056516832,"sku":"3000101329-5","price":603.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ OpenClaw Kiti","offer_id":53136056549600,"sku":"3000101329-6","price":625.4,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Mini PC Kiti","offer_id":53136056582368,"sku":"3000101329-7","price":591.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Üstün Kit","offer_id":53136056615136,"sku":"3000101329-8","price":627.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Sonuç Seti","offer_id":53136056647904,"sku":"3000101329-9","price":831.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ SSD olmadan geliştirme kiti","offer_id":53136056680672,"sku":"3000101329-10","price":507.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ Geliştirici Kiti","offer_id":53136056713440,"sku":"3000101329-11","price":579.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ Temel Kiti","offer_id":53136056746208,"sku":"3000101329-12","price":591.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ Kamera Gelişmiş Kiti","offer_id":53136056778976,"sku":"3000101329-13","price":615.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ AI Büyük Model Kiti","offer_id":53136056811744,"sku":"3000101329-14","price":663.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ OpenClaw Kiti","offer_id":53136056844512,"sku":"3000101329-15","price":685.4,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ Mini PC Kiti","offer_id":53136056877280,"sku":"3000101329-16","price":651.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ Üstün Kit","offer_id":53136056910048,"sku":"3000101329-17","price":687.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ Sonuç Seti","offer_id":53136056942816,"sku":"3000101329-18","price":891.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Resmi \/ SSD olmadan geliştirme kiti","offer_id":53136056975584,"sku":"3000101329-19","price":543.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Resmi \/ Geliştirici Kiti","offer_id":53136057008352,"sku":"3000101329-20","price":615.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Resmi \/ Temel Kiti","offer_id":53136057041120,"sku":"3000101329-21","price":627.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Resmi \/ Kamera Gelişmiş Kiti","offer_id":53136057073888,"sku":"3000101329-22","price":651.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Resmi \/ AI Büyük Model Kiti","offer_id":53136057106656,"sku":"3000101329-23","price":699.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Resmi \/ OpenClaw Kiti","offer_id":53136057139424,"sku":"3000101329-24","price":721.4,"currency_code":"USD","in_stock":true},{"title":"8GB-Resmi \/ Mini PC Kiti","offer_id":53136057172192,"sku":"3000101329-25","price":687.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Resmi \/ Üstün Kit","offer_id":53136057204960,"sku":"3000101329-26","price":723.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Resmi \/ Sonuç Seti","offer_id":53136057237728,"sku":"3000101329-27","price":927.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/NVIDIA_JetsonORIN_NANO_01_284c8c60-9fc1-4b8e-a53e-0c74db8636aa.jpg?v=1782126647"},{"product_id":"nvidia-jetson-nano-power-adapter","title":"NVIDIA Jetson Nano 5V 4A DC Güç Adaptörü (ABD Fişi) Jetson Nano 4GB A02\/B01\/SUB için - J48 Jumper Kapakları Dahil","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eBu DC güç adaptörü, NVIDIA Jetson Nano için tasarlanmıştır ve mikro USB girişi (2A) ek çevre birimlerini, örneğin bir fan, 7 inç ekran, kamera ve diğer USB cihazlarını beslemek için yeterli olmadığında, stabil 5V 4A güç kaynağı sağlar. Jetson Nano B01 (Resmi\/SUB) ile uyumludur ve Jetson Nano 4GB kartları (A02\/B01\/SUB) için tasarlanmıştır.\u003c\/p\u003e\u003ch2\u003eÖnemli Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNominal çıkış: Jetson Nano DC girişi için 5V 4A\u003c\/li\u003e\n\u003cli\u003eGiriş voltajı: 100-240V\u003c\/li\u003e\n\u003cli\u003eDC çıkış arayüzü: 5.5 x 2.5 mm, 5.5 x 2 ile uyumlu.1 mm\u003c\/li\u003e\n\u003cli\u003eKoruma fonksiyonları: kısa devre koruması, aşırı akım koruması, aşırı voltaj koruması, düşük voltaj koruması, ters bağlantı koruması\u003c\/li\u003e\n\u003cli\u003eDurum göstergesi: mavi ışık\u003c\/li\u003e\n\u003cli\u003eAC fişi: ABD\u003c\/li\u003e\n\u003cli\u003eUyumluluk bildirimi: Jetson Nano 2GB desteklenmiyor; Jetson Orin Nano desteklenmiyor\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eÜrün Adı\u003c\/td\u003e\n\u003ctd\u003eJetson Nano DC Güç Adaptörü\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGörünüm rengi\u003c\/td\u003e\n\u003ctd\u003eSiyah\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma ışıkları\u003c\/td\u003e\n\u003ctd\u003eMavi ışık\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAC fişi\u003c\/td\u003e\n\u003ctd\u003eABD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGiriş voltajı\u003c\/td\u003e\n\u003ctd\u003e100-240V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇıkış voltajı\u003c\/td\u003e\n\u003ctd\u003e5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇıkış akımı\u003c\/td\u003e\n\u003ctd\u003e4A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDalgalanma\u003c\/td\u003e\n\u003ctd\u003e≤100MV\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇıkış arayüzü\u003c\/td\u003e\n\u003ctd\u003eDC arayüzü 5.5 x 2.5, 5.5 x 2 ile uyumlu.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAC hattı girişi\u003c\/td\u003e\n\u003ctd\u003e0.5m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDC hattı çıkışı\u003c\/td\u003e\n\u003ctd\u003e1m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma verimliliği\u003c\/td\u003e\n\u003ctd\u003e≥85%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÇalışma sıcaklığı\u003c\/td\u003e\n\u003ctd\u003e0C~+50C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyut\u003c\/td\u003e\n\u003ctd\u003e100mm x 50mm x 35mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKoruma fonksiyonu\u003c\/td\u003e\n\u003ctd\u003eKısa devre koruması, aşırı akım koruması, aşırı voltaj koruması, düşük voltaj koruması, ters bağlantı koruması\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eUyumluluk\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDesteklenen: Jetson Nano B01 (Resmi\/SUB)\u003c\/li\u003e\n\u003cli\u003eDesteklenmiyor: Jetson Nano 2GB\u003c\/li\u003e\n\u003cli\u003eDesteklenmiyor: Jetson Orin Nano\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDC Güç Kullanım Talimatları\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDC güç kaynağı kullanırken, resmi Jetson Nano kılavuzuna göre J48 konnektörünü bir jumper kapağı ile kısa devre yapın.\u003c\/li\u003e\n\u003cli\u003eJetson Nano (SUB) için jumper kapağı gerekmez.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e5V 4A DC Güç Adaptörü x 1\u003c\/li\u003e\n\u003cli\u003eJumper kapak x 5\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eÖn satış uyumluluk soruları veya satış sonrası destek için iletişime geçin support@rcdrone.top or ziyaret edin  https:\/\/rcdrone.top\/. \u003c\/p\u003e\u003ch2 id=\"details\"\u003eAyrıntılar\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"NVIDIA Jetson Nano 5V 4A DC power adapter with US plug and 5.5 x 2.5 mm barrel connector\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Nano-5V-4A-DC-power-adapter-compatible-with.jpg?v=1782270360\"\u003e\u003cp\u003eEk mikro-USB sınırlarının ötesinde ekstra çevre birimleri çalıştırırken kararlı güç sağlamak için 5V 4A DC girişini kullanın.\u003c\/p\u003e\n\u003cimg alt=\"Compatibility chart for Jetson Nano B01 (Official\/SUB); Jetson Nano 2GB and Jetson Orin Nano not supported\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Nano-5V-4A-DC-power-adapter-compatible-with_d71d9904-fce2-4734-a0fa-46152fa30ad3.jpg?v=1782270366\"\u003e\u003cp\u003eJetson Nano 4GB kartları (A02\/B01\/SUB) için tasarlanmıştır ve Jetson Nano 2GB veya Jetson Orin Nano için tasarlanmamıştır.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Nano common power supply mode illustrating 5V 4A DC input recommended for peripherals and loads\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Nano-5V-4A-DC-power-adapter-compatible-with_567a4848-466e-4aac-ac5e-4985c9ff3c56.jpg?v=1782270371\"\u003e\u003cp\u003eÖzel bir 5V 4A kaynağı, fanlar, kameralar ve ekranlar gibi daha yüksek yük yapılandırmalarını desteklemeye yardımcı olur.\u003c\/p\u003e\n\u003cimg alt=\"Test comparison explaining why a 5V 4A power supply is recommended for Jetson Nano workloads\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Nano-5V-4A-DC-power-adapter-compatible-with_b069841b-8915-43bc-915d-0c2b2544cec0.jpg?v=1782270378\"\u003e\u003cp\u003eDaha yüksek akımlı DC güç, zorlu uygulamalar ve uzun süreli testler sırasında güç sınırı sorunlarını azaltır.\u003c\/p\u003e\n\u003cimg alt=\"Performance test summary and conditions for Jetson Nano power draw with no load and CPU\/GPU load results\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Nano-5V-4A-DC-power-adapter-compatible-with_02a3f922-951d-4549-9562-917a61abc660.jpg?v=1782270383\"\u003e\u003cimg alt=\"DC power usage instructions highlighting J48 jumper cap placement on A02 and B01; SUB does not require it\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Nano-5V-4A-DC-power-adapter-compatible-with_80439126-3928-44fc-9330-2f8f6416b2a1.jpg?v=1782270389\"\u003e\u003cp\u003eA02\/B01 kartlarında J48 jumper'ını ayarlayarak DC girişi için resmi kılavuzu takip edin; SUB kartlarının jumper'a ihtiyacı yoktur.\u003c\/p\u003e\n\u003cimg alt=\"Product parameters table for Jetson Nano DC power adapter: 5V 4A, US plug, 100–240V input, protections\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Nano-5V-4A-DC-power-adapter-compatible-with_3d6932c6-34cc-4d97-8e52-e908b06bafb9.jpg?v=1782270395\"\u003e\u003cimg alt=\"NVIDIA Jetson Nano 5V 4A DC Power Adapter (US Plug) alongside a Jetson Nano board connected via DC jack\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Nano-5V-4A-DC-power-adapter-compatible-with_e488ba99-789e-4ab7-8463-323ce5f01fe6.jpg?v=1782270400\"\u003e\u003cp\u003e5.5 x 2.5 mm DC fişi, Jetson Nano silindirik jakına bağlanır ve 5.5 x 2.1 mm portlarla uyumludur.\u003c\/p\u003e\n\u003cimg alt=\"Packing list showing 5V 4A DC power supply and five jumper caps included in the box\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Nano-5V-4A-DC-power-adapter-compatible-with_456f4e53-e3d5-4ad5-955e-f232aa5db5a1.jpg?v=1782270406\"\u003e\n\u003c\/div\u003e","brand":"yahboom","offers":[{"title":"Default Title","offer_id":53136357687520,"sku":"6000300508-1","price":13.39,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Jatson_Nano_5_c326a509-a3fb-4cd1-9f2d-143ce081dcef.jpg?v=1782128702"},{"product_id":"yahboom-jetson-xavier-nx-case","title":"Yahboom NVIDIA Jetson Xavier NX, TX2-NX, Orin Nano SUPER ve Orin NX SUPER için Akrilik Koruyucu Kutu","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eBu akrilik koruyucu kasa, NVIDIA Jetson Xavier NX \/ TX2-NX \/ Orin Nano SUPER \/ Orin NX SUPER geliştirme kartları için özel olarak tasarlanmıştır. Kasa, 6 akrilik panel kullanır ve vidalar ile bakır sütunlar ile birleştirilmiştir. Montajdan sonra, delik pozisyonları Jetson kart arayüzleri ile örtüşür, kamera, ekran, ağ kablosu ve USB gibi harici bağlantıları destekler ve erişimi engellemez.\u003c\/p\u003e\u003ch2\u003eAna Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJETSON ORIN akrilik kasa tasarımı: çift anten montajını destekler ve çift kamera montajını destekler.\u003c\/li\u003e\n\u003cli\u003eKesin arayüz delik hizalaması; dahili soğutma fanı ile daha hızlı ısı dağılımı sağlanabilmesi için bir soğutma fanı deliği rezervi içerir.\u003c\/li\u003e\n\u003cli\u003eÇift kamera sabitlemesini destekler (not: kamera için akrilik braket dahil değildir).\u003c\/li\u003e\n\u003cli\u003eİki kablosuz ağ kartı anteni içerir (çift anten).Dış antenler, sinyali daha stabil hale getirmek ve iletim mesafesini uzatmak için tasarlanmıştır.\u003c\/li\u003e\n\u003cli\u003eSinyal test karşılaştırması (sağlanan şekilde): tam çerçeve sinyal gücü 100\/100; orijinal WiFi sinyali 42 ızgara; anten güçlendirilmiş sinyal 53 ızgara.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eÖn satış uyumluluk soruları veya satış sonrası destek için iletişime geçin support@rcdrone.top or ziyaret edin https:\/\/rcdrone.top\/. \u003c\/p\u003e\u003ch2\u003eUyumluluk\u003c\/h2\u003e\u003cp\u003eBu ürün, aşağıdaki kartların resmi\/SUB versiyonlarıyla uyumludur:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eOrin Nano SUPER (SUB)\u003c\/li\u003e\n\u003cli\u003eOrin Nano SUPER (Resmi)\u003c\/li\u003e\n\u003cli\u003eOrin NX SUPER (SUB)\u003c\/li\u003e\n\u003cli\u003eXavier NX (Resmi)\u003c\/li\u003e\n\u003cli\u003eXavier NX (SUB)\u003c\/li\u003e\n\u003cli\u003eTX2-NX\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eArayüz Erişimi (Örnek Xavier NX ile Gösterilmiştir)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eIsı dağıtım portu\u003c\/li\u003e\n\u003cli\u003e2x CSI kamera portu\u003c\/li\u003e\n\u003cli\u003e40-pin GPIO arayüzü\u003c\/li\u003e\n\u003cli\u003eDC güç arayüzü\u003c\/li\u003e\n\u003cli\u003eDP arayüzü\u003c\/li\u003e\n\u003cli\u003eHDMI arayüzü\u003c\/li\u003e\n\u003cli\u003eRJ45 Gigabit Ethernet portu\u003c\/li\u003e\n\u003cli\u003eUSB 3.0 arayüzü\u003c\/li\u003e\n\u003cli\u003eMicro USB OTG arayüzü\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eYukarıdaki arayüz örneği, Xavier NX'i örnek alır ve ayrıca Orin Nano SUPER \/ Orin NX SUPER ile de uyumludur.\u003c\/p\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMalzeme\u003c\/td\u003e\n\u003ctd\u003eAkrilik\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoyut\u003c\/td\u003e\n\u003ctd\u003e112*91*42mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAkrilik kalınlığı\u003c\/td\u003e\n\u003ctd\u003e2.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAğırlık\u003c\/td\u003e\n\u003ctd\u003e90.2g (bakır kolon vidaları olmadan)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAkrilik kasa panelleri (6 adet)\u003c\/li\u003e\n\u003cli\u003eMontaj için vidalar ve bakır sütunlar\u003c\/li\u003e\n\u003cli\u003eKablosuz ağ kartı antenleri (2 adet)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKurulum Notları\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eKasa montajından önce, kullanıcıların Jetson kartının altındaki plastik tabanı çıkarmaları gerekmektedir, aksi takdirde başarılı bir şekilde oturmayacaktır.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eVideolar\u003c\/h2\u003e\u003cdiv style=\"text-align:center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/1fUVtjfWQTk\" title=\"Acrylic Protective Case for NVIDIA Jetson Xavier NX\/TX2 NX\/Orin Nano SUPER\/Orin NX SUPER\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/div\u003e\u003cdiv style=\"text-align:center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/ZdqbEAZZopE\" title=\"Installation video\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/div\u003e\u003ch2\u003eKılavuzlar\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"https:\/\/www.yahboom.net\/study\/NX-shell\" rel=\"noopener\" target=\"_blank\"\u003eÇevrimiçi öğrenme \/ kurulum bilgileri\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2 id=\"details\"\u003eAyrıntılar\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Acrylic Protective Case installed on Jetson Orin board with dual antennas and fan opening\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier.jpg?v=1782222812\"\u003e\u003cimg alt=\"Compatibility list for acrylic case: Orin Nano SUPER, Orin NX SUPER, Xavier NX, and TX2-NX (official\/SUB)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_8615c1c0-6453-44aa-ac92-89f2b304afff.jpg?v=1782222819\"\u003e\u003cimg alt=\"Acrylic case front view with dual WiFi antennas for improved wireless signal strength\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_86dae37a-709a-46ef-8b73-b05ebc279071.jpg?v=1782222825\"\u003e\u003cimg alt=\"Jetson board wireless card connection with external antenna attached (close-up of M.2 module)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_a2074fa8-884b-4197-854e-cdb6a9476f5f.jpg?v=1782222832\"\u003e\u003cimg alt=\"Orin Nano\/Orin NX board with preinstalled WiFi antenna lead and external antenna (detail view)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_d9ed515d-bf88-4aa8-b103-2231a37a32e2.jpg?v=1782222838\"\u003e\u003cimg alt=\"Signal test comparison screenshot showing original WiFi signal level (42 grids)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_a8b4d629-565d-4c5f-9325-9db8a9b6d0c0.jpg?v=1782222844\"\u003e\u003cimg alt=\"Yahboom Acrylic Protective Case for NVIDIA Jetson Xavier NX\/TX2 NX\/Orin Nano SUPER\/Orin NX SUPER\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_16643be9-f067-4e58-9c46-b0306867ff89.jpg?v=1782222851\"\u003e\u003cimg alt=\"Acrylic enclosure with reserved cooling fan hole for faster heat dissipation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_d0be66c0-5882-41c1-be30-f9d78aad7514.jpg?v=1782222859\"\u003e\u003cimg alt=\"Acrylic case setup supporting dual CSI camera fixation on the Jetson board (camera bracket not included)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_3728bcb8-8fd0-4a16-ad4b-552268d3dc88.jpg?v=1782222865\"\u003e\u003cimg alt=\"Optional HD camera modules with acrylic camera bracket accessory callout\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_006d1adf-92e4-46c7-abe4-98d43df2e93b.jpg?v=1782222871\"\u003e\u003cimg alt=\"Interface hole alignment on acrylic case with labeled access to USB, Ethernet, HDMI\/DP, GPIO, and CSI ports\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_bb987dc7-726b-4eae-b30d-6fade240d860.jpg?v=1782222878\"\u003e\u003cimg alt=\"Installation steps for the acrylic case, including removing the Jetson board plastic base before assembly\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_2720da44-e627-49b0-bdba-5391f72eeae5.jpg?v=1782222884\"\u003e\u003cimg alt=\"Acrylic case dimensions and specs: 112×91×42 mm, 2.5 mm thickness, 90.2 g weight (without screws)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_e2be8ec0-64c5-46e7-a98c-abf3711ea11b.jpg?v=1782222891\"\u003e\u003cimg alt=\"Yahboom Acrylic Protective Case angled view with dual antennas and top camera mount area\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_71d6d6c0-8954-4423-924b-9153756e3989.jpg?v=1782222896\"\u003e\u003cimg alt=\"Assembled clear acrylic Jetson enclosure with antenna mounts and full port access on the front edge\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_59210e1b-42d9-471c-a3ee-94a519738ad5.jpg?v=1782222902\"\u003e\u003cimg alt=\"Packing list: 6 acrylic panels, 2 antennas, screws, and copper pillars for assembling the case\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Acrylic-Protective-Case-for-NVIDIA-Jetson-Xavier_2425b3c8-1a63-40ce-b2a5-614a772b79c0.jpg?v=1782222908\"\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Kasa","offer_id":53137428611296,"sku":"6000301335-1","price":18.19,"currency_code":"USD","in_stock":true},{"title":"Kasa + Antenler","offer_id":53137428644064,"sku":"6000301335-2","price":27.79,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/8-df498403-86f8-4b56-bfaf-8864ad580fe8-_1.jpg?v=1782135818"},{"product_id":"yahboom-jetson-case","title":"NVIDIA Jetson Nano B01, Xavier NX, TX2-NX, Orin Nano SUPER, Orin NX SUPER için Yahboom Yeşil Alüminyum Alaşımlı Kasa","description":"\u003ch2\u003eGenel Bakış\u003c\/h2\u003e\u003cp\u003eBu alüminyum alaşımlı kasa, NVIDIA Jetson geliştirici kartları için tasarlanmıştır ve anakart arayüzlerinin erişilebilirliğini sağlarken fiziksel koruma sunar. Yeşil anodize alüminyum alaşımı kullanır, hava akışı için havalandırmalı\/boşaltılmış bir üst kapak ve sık sık takma\/çıkarma işlemlerini önlemek için entegre güç\/sıfırlama butonları içerir.\u003c\/p\u003e\u003ch2\u003eÖne Çıkan Özellikler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eYeşil anodize alüminyum alaşım malzeme\u003c\/li\u003e\n\u003cli\u003eDış bağlantılar için doğru, kartla eşleşen kesikler (\"anakart arayüzü delik konumu\")\u003c\/li\u003e\n\u003cli\u003eHavalandırmalı üst kapak; soğutma fanı kurulabilir\u003c\/li\u003e\n\u003cli\u003ePil butonu ve sıfırlama butonu ile birlikte\u003c\/li\u003e\n\u003cli\u003eKamera aparatı, tek\/iki\/binoküler kameraları ve 180° açı döndürmeyi destekler (ayarlama düğmesi ile)\u003c\/li\u003e\n\u003cli\u003eAğ kartı antenlerinin kurulumu desteklenir: M.2 ağ kartı anteni ve USB ağ kartları\u003c\/li\u003e\n\u003cli\u003eRezerve edilmiş genişletme deliği ve 40PIN kontrol kartı arayüzü erişimi\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eUyumluluk\u003c\/h2\u003e\u003cp\u003eBu ürün, aşağıdaki kartların resmi\/SUB versiyonu ile uyumludur:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eJetson Nano B01\u003c\/li\u003e\n\u003cli\u003eJetson Orin Nano SUPER\u003c\/li\u003e\n\u003cli\u003eJetson Orin NX SUPER\u003c\/li\u003e\n\u003cli\u003eJetson Xavier NX\u003c\/li\u003e\n\u003cli\u003eJetson TX2-NX\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKonfigürasyon Açıklaması\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAlüminyum alaşımlı kasa + soğutma fanı (uygun: Jetson Nano B01 (Resmi\/SUB))\u003c\/li\u003e\n\u003cli\u003eAlüminyum alaşımlı kasa + soğutma fanı + M.2 ağ kartı + anten (uygun: Jetson Nano B01 (Resmi\/SUB))\u003c\/li\u003e\n\u003cli\u003eAlüminyum alaşımlı kasa + anten (uygun: Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER \/ Jetson Xavier NX \/ Jetson TX2-NX; yukarıdaki versiyonlar resmi\/SUB versiyonunu destekler)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eÜrün bilgisi notu: yalnızca Jetson Nano B01 alüminyum alaşımlı kasa versiyonu bir ısı dağıtım fanı ile donatılmıştır; diğer Jetson kartı kasa versiyonları kullanıcıların kendi soğutma fanlarını sağlamasını gerektirir.\u003c\/p\u003e\u003ch2\u003eÖzellikler\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eÜrün türü\u003c\/td\u003e\n\u003ctd\u003eAlüminyum alaşımlı kasa (yeşil anodize)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eÜst kapak tasarımı\u003c\/td\u003e\n\u003ctd\u003eDelikli \/ havalandırmalı\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDüğmeler\u003c\/td\u003e\n\u003ctd\u003eGüç düğmesi, sıfırlama düğmesi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKamera montajı\u003c\/td\u003e\n\u003ctd\u003eTek\/iki\/binoküler kameraları destekler; 180° döner\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAnten destek\u003c\/td\u003e\n\u003ctd\u003eKablosuz ağ kartını sabitlemek için ayrılmış anten deliği; M'yi destekler.2 ağ kartı anteni ve USB ağ kartları\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRezerve edilmiş arayüzler\u003c\/td\u003e\n\u003ctd\u003eRezerve edilmiş anakart arayüz kesimleri; 40PIN kontrol kartı arayüz erişimi; rezerve edilmiş genişletme deliği\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArayüz karşılaştırma notu\u003c\/td\u003e\n\u003ctd\u003eJetson Nano 4GB \/ Xavier NX \/ TX2-NX ile Jetson Nano 2GB (geliştirme kartı arayüzü) için farklı arayüz kesimleri gösterilmektedir\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eİçindekiler\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSağlam taban\u003c\/li\u003e\n\u003cli\u003eHollow-out tasarım üst kapak\u003c\/li\u003e\n\u003cli\u003eÇift kamera braket\u003c\/li\u003e\n\u003cli\u003eGüç düğmesi ve sıfırlama düğmesi bileşenleri\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e*Bu ürün gönderim listesi Jetson kartı ve kamerayı içermemektedir.\u003c\/p\u003e\u003ch2\u003eKurulum Videoları\u003c\/h2\u003e\u003ch3\u003eYeşil alüminyum alaşım kasa genel görünümü\u003c\/h3\u003e\u003ciframe allowfullscreen=\"\" frameborder=\"0\" height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/fPpnih71yQQ\" title=\"Green aluminum alloy case for NVIDIA Jetson NANO B01\/Xavier NX\/TX2 NX\/Orin NX SUPER\/Orin NANO SUPER\" width=\"600\"\u003e\u003c\/iframe\u003e\u003ch3\u003eJetson NANO 4GB kartı için\u003c\/h3\u003e\u003ciframe allowfullscreen=\"\" frameborder=\"0\" height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/tD6CRyJJF00\" title=\"For Jetson NANO 4GB board\" width=\"600\"\u003e\u003c\/iframe\u003e\u003ch3\u003eJetson NANO 2GB kartı için\u003c\/h3\u003e\u003ciframe allowfullscreen=\"\" frameborder=\"0\" height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/3d9K8ItW5Yo\" title=\"For Jetson NANO 2GB board\" width=\"600\"\u003e\u003c\/iframe\u003e\u003ch3\u003eJetson ORIN NANO SUPER \/ ORIN NX SUPER \/ Xavier NX kartı için\u003c\/h3\u003e\u003ciframe allowfullscreen=\"\" frameborder=\"0\" height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/FwMrekiBBxc\" title=\"For Jetson ORIN NANO SUPER \/ ORIN NX SUPER \/ Xavier NX board\" width=\"600\"\u003e\u003c\/iframe\u003e\u003cp\u003eSeçim veya kurulum desteği için iletişime geçin support@rcdrone.top or ziyaret edin https:\/\/rcdrone.top\/. \u003c\/p\u003eDetaylar\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Banner for Jetson Orin Nano SUPER developer kit with performance highlights and buy link\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO.jpg?v=1782218040\"\u003e\u003cimg alt=\"Banner for Jetson Orin NX SUPER developer kit listing TOPS performance and tutorial support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_bee00d90-f63f-4881-ac6e-f5e11fbe5a12.jpg?v=1782218046\"\u003e\u003cimg alt=\"Yahboom green aluminum alloy case for NVIDIA Jetson NANO B01\/Xavier NX\/TX2 NX\/Orin NX SUPER\/Orin NANO SUPER\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_335eca7b-6c25-432b-ad96-d0beb5dc4f37.jpg?v=1782218052\"\u003e\u003cimg alt=\"Yahboom Green Aluminum Alloy Case installed with antennas and camera bracket for Jetson boards\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_2a72386b-5de3-42db-87be-19a8b80f69e1.jpg?v=1782218059\"\u003e\u003cp\u003eJetson geliştirici kartları için tasarlanmış, havalandırmalı panellere ve portlara ile butonlara temiz erişime sahip yeşil anodize alüminyum alaşım kasa.\u003c\/p\u003e\n\u003cimg alt=\"Compatibility list for the aluminum alloy Jetson case: Nano B01, Orin Nano SUPER, Orin NX SUPER, Xavier NX, TX2-NX\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_a7b80a45-78e5-41d0-9b1a-b9a18d05198b.jpg?v=1782218066\"\u003e\u003cp\u003eJetson Nano B01, Orin Nano SUPER, Orin NX SUPER, Xavier NX ve TX2-NX'in resmi\/SUB versiyonlarıyla uyumludur.\u003c\/p\u003e\n\u003cimg alt=\"Configuration 1: aluminum alloy case with cooling fan kit for Jetson Nano B01 (Official\/SUB)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_ae386775-3f79-4ebd-b0ce-4760ede926bf.jpg?v=1782218072\"\u003e\u003cp\u003eHavalandırmalı üst kapak aracılığıyla ek hava akışı sağlayan bir soğutma fanı içeren Jetson Nano B01 paketini seçin.\u003c\/p\u003e\n\u003cimg alt=\"Configuration options with M.2 network card antennas and antenna-only version for select Jetson boards\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_67c9bc3d-a72e-4eea-a114-840e190a142d.jpg?v=1782218078\"\u003e\u003cp\u003eFarklı Jetson kartları için M.2 Wi‑Fi anten desteği ve sadece anten seçenekleri dahil olmak üzere birden fazla yapılandırma mevcuttur.\u003c\/p\u003e\u003cimg alt=\"Side view of case with adjustable camera bracket supporting 180° rotation and front power button\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_c7640a51-4a4a-463b-a739-7e38e75b666d.jpg?v=1782218084\"\u003e\u003cp\u003eAyarlanabilir bir kamera braket, tek, çift veya dürbün kamera kurulumlarını destekler ve 180°'ye kadar dönebilir.\u003c\/p\u003e\n\u003cimg alt=\"Camera bracket examples showing single camera installation and dual camera installation on the case\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_c18dc0d8-e5a6-4a8e-9a0e-6638e7ebac02.jpg?v=1782218090\"\u003e\u003cimg alt=\"Camera module callout with link text for users who need cameras\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_6c9ef186-ea74-46d7-a285-36776b1419db.jpg?v=1782218096\"\u003e\u003cimg alt=\"Case with dual antennas and notes supporting M.2 network card antenna or USB network card antenna installation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_ef8e71d5-b1bc-4458-99c5-455ccbd624e1.jpg?v=1782218101\"\u003e\u003cp\u003eAyırılmış anten montaj pozisyonları, M.2 ağ kartı antenleri veya USB ağ adaptörleri kullanarak kablosuz kurulumları destekler.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Green Aluminum Alloy Case close-up showing green anodized finish and vented top panel\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_e2222ba2-8955-4654-883e-c560369461d3.jpg?v=1782218107\"\u003e\u003cp\u003eYeşil anodizasyon ve alüminyum alaşım yapısı, kartı korumaya yardımcı olurken yapıyı hafif ve dayanıklı tutar.\u003c\/p\u003e\n\u003cimg alt=\"Vented Jetson case with airflow arrows and note that only Nano B01 version includes a cooling fan\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_a90f0ebb-240c-4e43-b9af-df3cef571085.jpg?v=1782218114\"\u003e\u003cimg alt=\"Port-side layout showing reset button, reserved expansion hole, antenna mounting hole, and 40-pin access\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_93461877-0bdc-4260-895c-ebc031082b1a.jpg?v=1782218120\"\u003e\u003cp\u003eKesin kesimler, anakart arayüzlerinin erişilebilir olmasını sağlar, 40 pinli başlık alanı ve ayrılmış genişleme açıklıkları dahil.\u003c\/p\u003e\n\u003cimg alt=\"Interface comparison for different Jetson boards showing differing rear port cutouts (Nano 4GB\/Xavier NX\/TX2-NX vs Nano 2GB)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_3a9830ac-d967-4b20-8ea6-9c5ac6e207ce.jpg?v=1782218126\"\u003e\u003cimg alt=\"Product parameters showing case size 124×95×62 mm, 1.5 mm thickness, and 191 g weight\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_958f97eb-9d55-45cf-8a00-5c07e2804143.jpg?v=1782218132\"\u003e\u003cp\u003eKompakt kasa boyutu 124 × 95 × 62 mm olup, 1.5 mm kalınlık ve 191 g ağırlık belirtilmiştir.\u003c\/p\u003e\n\u003cimg alt=\"Installation video preview showing case parts, screws, and assembly layout on a screen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_4cabee48-7f67-48da-b9fd-755b6c53fc6f.jpg?v=1782218139\"\u003e\u003cimg alt=\"Product live shots showing side view, assembled case with antennas and camera bracket, and internal fan\/board space\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_f49bb3a5-0677-4fe0-81ce-f13d7f909c13.jpg?v=1782218145\"\u003e\u003cp\u003eCanlı yapı görüntüleri, harici port erişimini ve kablolama, soğutma ve kart montajı için iç alanı vurgular.\u003c\/p\u003e\u003cimg alt=\"Yahboom green aluminum alloy case kit with base, vented cover, camera brackets, screws, switch and screwdriver\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-green-aluminum-alloy-case-for-NVIDIA-Jetson-NANO_acac6631-10ff-4aaf-8ecc-08cdf19d0298.jpg?v=1782218151\"\u003e\u003cp\u003eYahboom yeşil alüminyum alaşımlı kasa kiti, bir taban ve havalandırmalı kapak ile birlikte kamera braketleri, vidalar, kablolu bir anahtar ve montaj için küçük bir tornavida içerir.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Kasa+Soğutma fanı","offer_id":53137563549920,"sku":"6000300986-1","price":24.99,"currency_code":"USD","in_stock":true},{"title":"Kasa+Anten+Soğutma fanı+Ağ kartı","offer_id":53137563582688,"sku":"6000300986-2","price":44.5,"currency_code":"USD","in_stock":true},{"title":"Kasa+Antena","offer_id":53137563615456,"sku":"6000300986-3","price":27.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/JETSON_case1.jpg?v=1782136953"}],"url":"https:\/\/rcdrone.top\/tr\/collections\/nvidia.oembed?page=2","provider":"RCDrone","version":"1.0","type":"link"}