{"title":"NVIDIA","description":"\u003cp\u003e우리의 \u003cstrong data-start=\"57\" data-end=\"67\"\u003eNVIDIA\u003c\/strong\u003e 컬렉션을 발견해 보세요. 엣지 AI 및 로봇 공학을 위한 컴팩트한 \u003cstrong data-start=\"117\" data-end=\"132\"\u003eJetson Nano\u003c\/strong\u003e 시스템(0.5 TOPS)부터 \u003cstrong data-start=\"155\" data-end=\"183\"\u003eJetson Orin Nano\/Orin NX\u003c\/strong\u003e 장치(20–157 TOPS) 및 플래그십 \u003cstrong data-start=\"219\" data-end=\"238\"\u003eJetson AGX Orin\u003c\/strong\u003e 개발 키트(최대 \u003cstrong data-start=\"261\" data-end=\"273\"\u003e275 TOPS\u003c\/strong\u003e)까지 다양합니다. 배포 준비가 완료된 \u003cstrong data-start=\"304\" data-end=\"318\"\u003ereComputer\u003c\/strong\u003e 엣지 AI 컴퓨터, 자율 드론을 위한 \u003cstrong data-start=\"338\" data-end=\"374\"\u003eHolybro Pixhawk Jetson Baseboard\u003c\/strong\u003e 번들, 그리고 프로토타입 제작 및 통합을 가속화하기 위한 다양한 \u003cstrong data-start=\"427\" data-end=\"445\"\u003e캐리어 보드\u003c\/strong\u003e(M.2, 듀얼 GbE, CSI, CAN, HDMI\/DP)를 찾을 수 있습니다. 선택된 모델은 \u003cstrong data-start=\"550\" data-end=\"565\"\u003eJetPack 6.x\u003c\/strong\u003e, NVMe 스토리지, 풍부한 I\/O 및 산업 신뢰성을 위한 팬리스 옵션과 함께 배송됩니다. 차세대 성능을 위해 \u003cstrong data-start=\"673\" data-end=\"692\"\u003eJetson AGX Thor\u003c\/strong\u003e 개발 키트(Blackwell GPU, 2070 FP4 TFLOPS)를 탐색해 보세요.귀하가 \u003cstrong data-start=\"766\" data-end=\"774\"\u003eAMR\u003c\/strong\u003e, 머신 비전, 스마트 공장 또는 UAV 페이로드를 구축하고 있든, 이 컬렉션은 확장 가능한 컴퓨팅, 낮은 지연 시간 및 강력한 SDK 지원을 제공합니다. 따라서 실제 \u003cstrong data-start=\"954\" data-end=\"965\"\u003e엣지 AI\u003c\/strong\u003e를 더 빠르게 훈련, 배포 및 반복할 수 있습니다.\u003c\/p\u003e","products":[{"product_id":"holybro-pixhawk-jetson-baseboard-bundle","title":"6X\/6X Pro 및 NVIDIA Jetson이 포함된 Holybro Pixhawk Jetson 베이스보드 번들","description":"\u003ch2 data-pm-slice=\"1 3 []\"\u003e\u003cspan\u003e\u003cstrong\u003e개요\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e  \u003cp\u003e\u003cspan\u003e그만큼 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e홀리브로 픽스호크 제트슨 베이스보드\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 기반으로 설계되었습니다 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk Autopilot Bus (PAB) 오픈소스 사양\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 그리고 완벽하게 통합됩니다 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eNVIDIA Jetson Orin NX\/Nano 캐리어 보드\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e. 그 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003ePAB 폼 팩터\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e PAB 비행 컨트롤러를 포함한 모든 PAB 비행 컨트롤러와 호환이 가능합니다. \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e픽스호크 6X\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e. 이 보드는 다음의 컴퓨팅 능력을 결합합니다. \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e엔비디아 제트슨\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 비행 제어 기능을 갖춘 \u003c\/span\u003e\u003ca title=\"Pixhawk\" href=\"https:\/\/rcdrone.top\/collections\/pixhawk\"\u003e\u003cspan\u003e\u003cstrong\u003e픽스호크\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003cspan\u003e따라서 고급 자율 주행 애플리케이션에 이상적입니다.\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\u003e주요 특징\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e통합 시스템:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 결합하다 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e픽스호크\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 그리고 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e엔비디아 제트슨\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 하나의 보드에.\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e원활한 연결성:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e Jetson과 Pixhawk는 다음을 통해 통신합니다. \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eUART, CAN 및 이더넷 스위치\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e.\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e광범위한 호환성:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 지원합니다 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eJetson Orin NX 및 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\u003e고속 확장:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 특징 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e2x M.2 키 슬롯\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e WiFi\/Bluetooth 및 NVMe SSD용.\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 6X 통합:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 장착되어 있습니다 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eICM-45686 센서\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 비행 제어를 강화하기 위해.\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003cdiv\u003e\u003chr\u003e\u003c\/div\u003e  \u003ch2\u003e\u003cspan\u003e\u003cstrong\u003e프로세서 및 센서\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003eFMU 프로세서:\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\u003e32비트 ARM Cortex-M7, 480MHz\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2MB 플래시 메모리, 1MB RAM\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003eIO 프로세서:\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\u003e32비트 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\u003e온보드 센서(Rev8)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e가속도계\/자이로:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 3배 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eICM-45686\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (BalancedGyro™ 기술 포함)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e기압계:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eICP20100 및 BMP388\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e자력계:\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\u003e베이스보드 포트 및 연결\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003e제트슨 커넥터\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x 기가비트 이더넷 포트\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (Jetson 및 Autopilot에 연결됨 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eRTL8367S 이더넷 스위치\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 카메라 입력\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (각각 4개 차선, \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e22핀 라즈베리파이 캠 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 호스트 포트\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eUSB-A, 5A 전류 제한\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 호스트 포트\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e5핀 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\u003e디버깅을 위한 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\u003e미니 HDMI 출력\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x M.2 슬롯:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eNVMe SSD(PCIEx4)용 키 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)용 키 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 포트\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (연결됨 \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e오토파일럿 CAN2\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e, 4핀 JST-GH)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eSPI, I2C, I2S, UART 포트\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (다양한 JST-GH 커넥터)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e팬 전원 포트\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e전원 입력:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eXT30 커넥터, 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 애플리케이션에 권장됨\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003e자동 조종 커넥터\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 자동 조종 버스 인터페이스:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e100핀 \u0026amp; 50핀 히로세 DF40\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e중복 디지털 전원 모듈 입력\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eI2C 전원 모니터 지원\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGPS 및 안전 스위치 포트:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e10핀 \u0026amp; 6핀 JST-GH\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x CAN 포트(4핀 JST-GH)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e3x 원격측정 포트(JST-GH, 하나는 Jetson의 UART1에 연결됨)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e16개 PWM 출력(2x 10핀 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 및 4핀 JST-GH)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eDSM 입력(3핀 JST-ZH, 1.5mm 피치)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eRC 입력(PPM\/SBUS, 5핀 JST-GH)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e외부 센서 버스용 SPI 포트(SPI5, 11핀 JST-GH)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e2x 디버그 포트(FMU 및 IO, 10핀 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\u003e전력 요구 사항\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e입력 전압:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eXT30 커넥터를 통한 7-21V(3S-4S)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e최소 전력 요구 사항:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e8V\/3A(주변 장치에 따라 다름)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e중복성 및 고전압 애플리케이션을 위해 외부 UBEC 12A(3-14S) 지원\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e내장 과전압 보호 기능\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\u003e치수 및 무게\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e보드 크기:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e126 x 80 x 38mm\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (Jetson 및 비행 컨트롤러 없음)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e무게:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e203.2g\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e (Jetson, Heatsink, Flight Controller, SSD, Wi-Fi 모듈 포함)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch4\u003e\u003cspan\u003e\u003cstrong\u003eUBEC-12A 사양\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e입력 전압:\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\u003e출력 전압:\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\u003eJetson에는 7.2V가 권장됩니다.\u003c\/em\u003e\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e연속 출력 전류:\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\u003e버스트 출력 전류:\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\u003e크기:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e48 x 33.6 x 16.3mm\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e무게:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003e47.8g\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\u003e패키지 내용\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e  \u003ch3\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 6X 번들\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) 비행 컨트롤러 모듈\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk Jetson Orin 베이스보드\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e히트싱크 및 팬이 있는 Nvidia Orin NX(16GB RAM)\/Orin Nano(4GB RAM)\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 삼성 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 및 블루투스 모듈:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e 인텔 8265NGW \u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eAC 듀얼 밴드 \/ Realtek RTL8B22CE\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e카메라:\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 전원 모듈\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e유벡 12A(3-14S)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePDB 보드 및 케이블 세트\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch3\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 6X Pro 번들\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk 6X Pro 비행 컨트롤러 모듈\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk Jetson Orin 베이스보드(케이스 포함 또는 제외)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e히트싱크 및 팬이 있는 Nvidia Orin NX(16GB RAM)\/Orin Nano(4GB RAM)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eSSD, Wi-Fi\/Bluetooth 모듈, 카메라, PM02D 전원 모듈, UBEC 12A, PDB 보드, 케이블 세트\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003ch3\u003e\u003cspan\u003e\u003cstrong\u003eJetson Baseboard만\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePixhawk Jetson Orin 베이스보드(케이스 포함 또는 제외)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e케이블 세트\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\u003e참조 링크\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003e전체 핀아웃 및 배선 가이드\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003e치수 및 무게 세부 정보\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003e플래싱 및 CAN 설정 가이드\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003eCSI 카메라 구성\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003eMAVLINK 브릿지 지침\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003ca disabled\u003eCAD 파일 다운로드\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003c\/ul\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eJetson Orin의 기본 로그인 자격 증명:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e  \u003cul data-spread=\"false\"\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003eID:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003ccode\u003e\u003cspan\u003e홀리브로\u003c\/span\u003e\u003c\/code\u003e\u003c\/p\u003e  \u003c\/li\u003e  \u003cli\u003e  \u003cp\u003e\u003cspan\u003e\u003cstrong\u003e비밀번호:\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\u003e세부\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\u003ePixhawk와 Nvidia Jetson이 단일 보드로 결합되었습니다.\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\u003erj45 커넥터를 사용하여 uart can 및 이더넷 스위치를 통해 연결된 nvidia jetson은 자동 조종 시스템을 위한 것입니다.\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 Autopilot Bus (PAB) 오픈 소스 사양\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 커넥터 시스템 완벽 호환: 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 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탑, 8 코어 CPU, 16GB LPDDR5, PCIE GEN4, 10–25W, 69.6 × 45mm","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson Orin NX 모듈 16GB AI 개발 보드는 가장 작은 Jetson 폼팩터에서 최대 100 TOPS의 AI 성능을 제공하며, 전력은 10W에서 25W까지 조절 가능합니다. NVIDIA Jetson AGX Xavier보다 약 3배, NVIDIA Jetson Xavier NX보다 약 5배 높은 성능을 제공하여 드론, 로봇, 핸드헬드, 임베디드 컴퓨터 비전 장치와 같은 소형 저전력 엣지 AI 시스템에 적합합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e32개의 텐서 코어를 탑재한 1024코어 NVIDIA Ampere 아키텍처 GPU\u003c\/li\u003e  \u003cli\u003e듀얼 NVDLA v2.0 딥러닝 가속기 및 PVA v2.0\u003c\/li\u003e  \u003cli\u003e8코어 Arm Cortex‑A78AE v8.2 64비트 CPU\u003c\/li\u003e  \u003cli\u003e16GB 128비트 LPDDR5, 102.4GB\/s 대역폭\u003c\/li\u003e  \u003cli\u003e전력 모드: 10W\/15W\/25W\u003c\/li\u003e  \u003cli\u003ePCIe Gen4 및 MIPI CSI‑2 카메라 인터페이스를 포함한 고속 I\/O\u003c\/li\u003e  \u003cli\u003e에지에서 다중 스트림 추론을 위해 최대 8K\/4K의 하드웨어 비디오 인코딩\/디코딩\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003e명세서\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eAI 성능\u003c\/td\u003e  \u003ctd\u003e100 탑스\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e1024코어 NVIDIA Ampere, 32개의 Tensor 코어\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDL 가속기\u003c\/td\u003e  \u003ctd\u003e(2x) NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e비전 가속기\u003c\/td\u003e  \u003ctd\u003ePVA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU\u003c\/td\u003e  \u003ctd\u003e8코어 Arm Cortex‑A78AE; 2MB L2 + 4MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e메모리\u003c\/td\u003e  \u003ctd\u003e16GB 128비트 LPDDR5 @ 2133MHz; 102.4GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e저장\u003c\/td\u003e  \u003ctd\u003e외부 NVMe 지원\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e비디오 인코딩\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\u003e비디오 디코딩\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\u003e카메라\u003c\/td\u003e  \u003ctd\u003e최대 4개의 카메라(가상 채널을 통해 8개*), 8개 레인 MIPI CSI‑2, D‑PHY 1.2(20Gbps)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003ePCI 익스프레스\u003c\/td\u003e  \u003ctd\u003e3 x1 + 1(x4 PCIe Gen 4)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e기계적인\u003c\/td\u003e  \u003ctd\u003e69.6mm x 45mm; 260핀 커넥터\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e힘\u003c\/td\u003e  \u003ctd\u003e10W\/15W\/25W\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함 사항\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Orin NX 모듈 16GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e자율주행차와 모바일 로봇\u003c\/li\u003e  \u003cli\u003e드론 및 UAV 분석\u003c\/li\u003e  \u003cli\u003e산업 자동화 및 검사\u003c\/li\u003e  \u003cli\u003e의료 영상 및 스마트 헬스케어 기기\u003c\/li\u003e  \u003cli\u003e스마트 리테일 및 엣지 AI 추론\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003e세부\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, 인터페이스, 로고, 이미지 옵션을 갖춘 맞춤형 디자인 reComputer\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 모듈 8GB AI 개발 보드, 70 Tops Ampere GPU, 6 코어 암 Cortex-A78AE, LPDDR5, 10W – 20W","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003e이 AI 개발 보드는 NVIDIA Jetson Orin NX 모듈 8GB를 활용하여 가장 작은 Jetson 폼팩터에서 최대 70 TOPS의 AI 성능을 제공하며, 전력은 10W~20W 사이에서 조절 가능합니다. NVIDIA Jetson AGX Xavier보다 2배 이상, NVIDIA Jetson Xavier NX보다 3배 높은 성능을 제공하여 드론 및 핸드헬드 기기와 같은 소형 저전력 시스템에 적합합니다. 또한 이전 세대보다 5배 향상된 성능과 2배 향상된 NVIDIA CUDA 코어를 제공하며, 여러 센서에 대한 고속 인터페이스를 지원합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e1024개의 NVIDIA CUDA 코어와 32개의 Tensor 코어를 탑재한 NVIDIA Ampere 아키텍처 GPU\u003c\/li\u003e  \u003cli\u003e6코어 Arm Cortex-A78AE v8.2 64비트 CPU; 1.5MB L2 + 4MB L3\u003c\/li\u003e  \u003cli\u003e1x NVDLA v2.0 딥러닝 가속기\u003c\/li\u003e  \u003cli\u003ePVA v2.0 비전 가속기\u003c\/li\u003e  \u003cli\u003e8GB 128비트 LPDDR5 메모리(102.4GB\/s)\u003c\/li\u003e  \u003cli\u003ePCIe를 통한 외부 NVMe 지원\u003c\/li\u003e  \u003cli\u003e전원 구성 가능: 10W - 20W\u003c\/li\u003e  \u003cli\u003e기계식: 45mm x 69.6mm; 260핀 SO-DIMM 커넥터\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003e명세서\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e1024개의 NVIDIA CUDA 코어, 32개의 Tensor 코어를 탑재한 NVIDIA Ampere 아키텍처\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU\u003c\/td\u003e  \u003ctd\u003e6코어 Arm Cortex-A78AE v8.2 64비트 CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDL 가속기\u003c\/td\u003e  \u003ctd\u003e1x NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e비전 가속기\u003c\/td\u003e  \u003ctd\u003ePVA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e메모리\u003c\/td\u003e  \u003ctd\u003e8GB 128비트 LPDDR5, 102.4GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e저장\u003c\/td\u003e  \u003ctd\u003ePCIe를 통한 외부 NVMe 지원\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e힘\u003c\/td\u003e  \u003ctd\u003e10W - 20W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e기계적인\u003c\/td\u003e  \u003ctd\u003e45mm x 69.6mm; 260핀 SO-DIMM 커넥터\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함 사항\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Orin NX 모듈 8GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e자율주행차\u003c\/li\u003e  \u003cli\u003e드론과 로봇\u003c\/li\u003e  \u003cli\u003e산업 자동화\u003c\/li\u003e  \u003cli\u003e의료 영상\u003c\/li\u003e  \u003cli\u003e스마트 리테일\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003e사용자 정의\u003c\/h2\u003e\u003cp\u003eSeeed Agile ODM 서비스는 폼 팩터, 이미지 플래싱, 로고 변경을 포함한 맞춤형 하드웨어 요구 사항을 지원합니다. \u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2023\/05\/10\/custom-design-your-own-recomputer-powered-by-nvidia-jetson\/\" rel=\"noopener\" target=\"_blank\"\u003e자세히 알아보기\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003e서류\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-데이터시트\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eHS코드\u003c\/td\u003e  \u003ctd\u003e8517180050\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e미국 연방 규정\u003c\/td\u003e  \u003ctd\u003e8543708800\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEUHS코드\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e구구\u003c\/td\u003e  \u003ctd\u003e중국\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e세부\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, 인터페이스, 로고, 이미지 옵션을 갖춘 맞춤형 디자인 reComputer\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 모듈 4GB AI 개발 보드, 20 탑, 암페어 GPU, 6 코어 암 A78AE, LPDDR5, PCIE, CSI-2","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson Orin Nano 모듈 4GB는 가장 작은 Jetson 폼팩터에서 최대 20 TOPS의 AI 성능을 제공하는 AI 개발 보드 모듈입니다. 5W에서 10W까지 전력을 조절할 수 있어 엔트리 레벨 엣지 AI에 NVIDIA Jetson Nano보다 최대 40배 높은 성능을 제공합니다. 설명서에는 5W에서 15W까지의 전력 옵션과 기존 Jetson Nano와 동일한 풋프린트도 포함되어 있습니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e16개의 텐서 코어를 탑재한 512코어 NVIDIA Ampere 아키텍처 GPU\u003c\/li\u003e  \u003cli\u003e6코어 Arm Cortex-A78AE v8.2 64비트 CPU(1.5MB L2 + 4MB L3)\u003c\/li\u003e  \u003cli\u003e4GB 64비트 LPDDR5(34GB\/s)\u003c\/li\u003e  \u003cli\u003e외부 NVMe 스토리지 지원\u003c\/li\u003e  \u003cli\u003e8개의 MIPI CSI-2 레인, D-PHY 2.1(최대 20Gbps)을 통해 최대 4개의 카메라(가상 채널을 통해 8개*)\u003c\/li\u003e  \u003cli\u003e비디오: 1080p30 인코딩(1~2개 CPU 코어 사용); 최대 1x 4K60\/2x 4K30\/5x 1080p60\/11x 1080p30(H.265) 디코딩\u003c\/li\u003e  \u003cli\u003e연결성 및 I\/O: PCIe Gen3, USB 3.2 Gen2, USB 2.0, GbE, UART\/SPI\/I2S\/I2C\/CAN, DMIC \u0026앰프; DSPK, PWM, GPIO\u003c\/li\u003e  \u003cli\u003e디스플레이: DP 1.2(+MST)\/eDP 1.4\/HDMI 1.4(최대 4K30)\u003c\/li\u003e  \u003cli\u003e컴팩트 모듈: 69.6mm x 45mm, 260핀 SO-DIMM 커넥터\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003e명세서\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eAI 성능\u003c\/td\u003e  \u003ctd\u003e20 탑스\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e16개의 텐서 코어를 탑재한 512코어 NVIDIA Ampere 아키텍처 GPU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e최대 GPU 주파수\u003c\/td\u003e  \u003ctd\u003e625MHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU\u003c\/td\u003e  \u003ctd\u003e6코어 Arm Cortex-A78AE v8.2 64비트 CPU, 1.5MB L2 + 4MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU 최대 주파수\u003c\/td\u003e  \u003ctd\u003e1.5GHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e메모리\u003c\/td\u003e  \u003ctd\u003e4GB 64비트 LPDDR5, 34GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e저장\u003c\/td\u003e  \u003ctd\u003e외부 NVMe 지원\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e카메라\u003c\/td\u003e  \u003ctd\u003e최대 4개의 카메라(가상 채널을 통해 8개*); 8개의 MIPI CSI-2 레인, D-PHY 2.1(최대 20Gbps)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e비디오 인코딩\u003c\/td\u003e  \u003ctd\u003e1~2개 CPU 코어로 지원되는 1080p30\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e비디오 디코딩\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, 루트 포트 및 엔드포인트)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSB\u003c\/td\u003e  \u003ctd\u003e3x USB 3.2 Gen2(10Gbps); 3x USB 2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e네트워킹\u003c\/td\u003e  \u003ctd\u003e1x GbE\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e표시하다\u003c\/td\u003e  \u003ctd\u003e1x 4K30 멀티모드 DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e기타 I\/O\u003c\/td\u003e  \u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026앰프; DSPK, PWM, GPIO\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e힘\u003c\/td\u003e  \u003ctd\u003e7W – 10W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e추가 전원 참고 사항\u003c\/td\u003e  \u003ctd\u003e전원은 5W에서 10W까지 구성 가능, 설명에는 5W~15W 옵션도 나와 있음\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e기계적인\u003c\/td\u003e  \u003ctd\u003e69.6mm x 45mm; 260핀 SO-DIMM 커넥터\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함 사항\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Orin 나노 모듈 4GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e임베디드 엣지 컴퓨팅\u003c\/li\u003e  \u003cli\u003e인공지능 애플리케이션\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003e세부\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, 인터페이스, 로고, 이미지 옵션을 갖춘 맞춤형 디자인 reComputer\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 모듈 8GB - 40 개의 탑 에지 AI, 암페어 GPU, 6 코어 피질 -A78AE, LPDDR5, CSI, PCIE, USB, GBE","description":"\u003ch2\u003e개요\u003c\/h2\u003e  \u003cp\u003eNVIDIA® Jetson Orin™ Nano 모듈 8GB는 가장 작은 Jetson 폼팩터에서 최대 40 TOPS의 성능을 제공하는 엣지 AI 컴퓨팅 모듈입니다. 전력은 7W에서 15W까지 구성 가능하며, Jetson Nano의 원래 풋프린트는 그대로 유지하면서 Jetson TX2 NX보다 최대 30배 향상된 성능을 제공합니다. 이 모듈은 NVIDIA Ampere 아키텍처 GPU와 6코어 Arm Cortex‑A78AE CPU를 통합하여 로보틱스, 임베디드 비전 및 엣지 추론을 가속화합니다.\u003c\/p\u003e  \u003ch2\u003e주요 특징\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003e32개의 텐서 코어를 탑재한 1024코어 NVIDIA Ampere 아키텍처 GPU\u003c\/li\u003e  \u003cli\u003e6코어 Arm Cortex‑A78AE v8.2 64비트 CPU(1.5MB L2 + 4MB L3), 최대 1.5GHz\u003c\/li\u003e  \u003cli\u003e8GB 128비트 LPDDR5 메모리, 68GB\/s 대역폭\u003c\/li\u003e  \u003cli\u003e외부 NVMe 스토리지 지원\u003c\/li\u003e  \u003cli\u003e카메라 인터페이스: 최대 4개 카메라(가상 채널을 통해 8개*), 8레인 MIPI CSI‑2, D‑PHY 2.1 최대 20Gbps\u003c\/li\u003e  \u003cli\u003e비디오: 1080p30 인코딩(1~2개 CPU 코어 사용); 최대 4K60 H.265 디코딩\u003c\/li\u003e  \u003cli\u003eI\/O: PCIe Gen3(1 x4 + 3 x1), USB 3.2 Gen2 및 USB 2.0, 1x GbE, 멀티모드 DP\/eDP\/HDMI, UART\/SPI\/I2S\/I2C\/CAN, DMIC \u0026앰프; DSPK, PWM, GPIO\u003c\/li\u003e  \u003cli\u003e260핀 SO‑DIMM 커넥터가 있는 69.6mm × 45mm 모듈\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003e명세서\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eAI 성능\u003c\/td\u003e  \u003ctd\u003e40 탑스\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e32개의 텐서 코어를 탑재한 1024코어 NVIDIA Ampere 아키텍처 GPU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e최대 GPU 주파수\u003c\/td\u003e  \u003ctd\u003e625MHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU\u003c\/td\u003e  \u003ctd\u003e6코어 Arm Cortex‑A78AE v8.2 64비트 CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU 최대 주파수\u003c\/td\u003e  \u003ctd\u003e1.5GHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e메모리\u003c\/td\u003e  \u003ctd\u003e8GB 128비트 LPDDR5; 68GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e저장\u003c\/td\u003e  \u003ctd\u003e외부 NVMe 지원\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e카메라\u003c\/td\u003e  \u003ctd\u003e최대 4개의 카메라(가상 채널을 통해 8개*); 8개의 MIPI CSI‑2 레인; D‑PHY 2.1(최대 20Gbps)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e비디오 인코딩\u003c\/td\u003e  \u003ctd\u003e1~2개 CPU 코어로 지원되는 1080p30\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e비디오 디코딩\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, 루트 포트 및 엔드포인트)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSB\u003c\/td\u003e  \u003ctd\u003e3× USB 3.2 Gen2(10Gbps); 3× USB 2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e네트워킹\u003c\/td\u003e  \u003ctd\u003e1× 기가비트 이더넷\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e표시하다\u003c\/td\u003e  \u003ctd\u003e1× 4K30 멀티모드 DP 1.2(+MST)\/eDP 1.4\/HDMI 1.4\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e기타 I\/O\u003c\/td\u003e  \u003ctd\u003e3× UART, 2× SPI, 2× I2S, 4× I2C, 1× CAN, DMIC \u0026앰프; DSPK, PWM, GPIO\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e힘\u003c\/td\u003e  \u003ctd\u003e7W – 15W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e기계적인\u003c\/td\u003e  \u003ctd\u003e69.6mm × 45mm; 260핀 SO‑DIMM 커넥터\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003e응용 프로그램\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003e임베디드 엣지 컴퓨팅\u003c\/li\u003e  \u003cli\u003e인공지능 애플리케이션\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003e포함 사항\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eNVIDIA Jetson Orin 나노 모듈 8GB ×1\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003e사용자 정의\u003c\/h2\u003e  \u003cp\u003eSeeed Agile ODM 서비스는 폼 팩터 조정, 이미지 플래싱, 로고 변경 등을 포함한 장치 제조업체와 통합업체에 맞춤형 서비스를 제공합니다.\u003c\/p\u003e  \u003ch2\u003e서류\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 데이터시트(PDF)\u003c\/a\u003e\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eECCN\/HTS\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eHS코드\u003c\/td\u003e  \u003ctd\u003e8517180050\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e미국 연방 규정\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\u003eEUHS코드\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e구구\u003c\/td\u003e  \u003ctd\u003e중국\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003e세부\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, 인터페이스, 로고 및 이미지 플래싱을 갖춘 맞춤형 reComputer입니다.\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 모듈 64GB-275 TOPS AI, 15W – 60W, 2048-CORE AMPERE GPU, 12 코어 암 Cortex-A78AE","description":"\u003ch2\u003e개요\u003c\/h2\u003e  \u003cp\u003eNVIDIA Jetson AGX Orin 모듈 64GB는 15W에서 60W까지 전력을 조절하여 최대 275 TOPS의 AI 성능을 제공합니다. 로봇 공학 및 기타 자율 머신 사용 사례에 적합한 동일한 소형 폼팩터로 Jetson AGX Xavier보다 8배 이상의 성능을 제공합니다.\u003c\/p\u003e  \u003ch2\u003e주요 특징\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003e2048코어 NVIDIA Ampere 아키텍처 GPU\u003c\/li\u003e  \u003cli\u003e64개의 텐서 코어\u003c\/li\u003e  \u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e  \u003cli\u003e12코어 Arm Cortex-A78AE v8.2\u003c\/li\u003e  \u003cli\u003e64비트 CPU\u003c\/li\u003e  \u003cli\u003e64GB 256비트 LPDDR5\u003c\/li\u003e  \u003cli\u003e64GB eMMC 5.1\u003c\/li\u003e  \u003cli\u003ePVA v2.0\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003e명세서\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eAI 성능\u003c\/td\u003e  \u003ctd\u003e275 탑스\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e64개의 텐서 코어를 탑재한 2048코어 암페어\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDL 가속기\u003c\/td\u003e  \u003ctd\u003e(2x) NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e비전 가속기\u003c\/td\u003e  \u003ctd\u003e(2x) 7-way VLIW 프로세서\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU\u003c\/td\u003e  \u003ctd\u003e12코어 Arm Cortex-A78AE; 3MB L2 + 6MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e메모리\u003c\/td\u003e  \u003ctd\u003e64GB 256비트 LPDDR5 @ 2133MHz; 205GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e저장\u003c\/td\u003e  \u003ctd\u003e64GB eMMC\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e비디오 인코딩\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\u003e비디오 디코딩\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\u003e카메라\u003c\/td\u003e  \u003ctd\u003e16레인 MIPI CSI-2 커넥터\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e기계적인\u003c\/td\u003e  \u003ctd\u003e100mm x 87mm; 699핀 커넥터\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e힘\u003c\/td\u003e  \u003ctd\u003e15W - 60W\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003e포함 사항\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eNVIDIA Jetson AGX Orin 모듈 64GB x1\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003e응용 프로그램\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003e자율주행차\u003c\/li\u003e  \u003cli\u003e로봇과 드론\u003c\/li\u003e  \u003cli\u003e산업 자동화 및 머신 비전\u003c\/li\u003e  \u003cli\u003e교육 및 연구\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003e사용자 정의\u003c\/h2\u003e  \u003cp\u003eSeeed Agile ODM 서비스는 폼 팩터, 이미지 플래싱, 로고 변경을 포함하여 특정 하드웨어 요구 사항에 맞춰 맞춤형 서비스를 제공하여 장치 제조업체와 통합업체의 역량을 강화합니다.\u003c\/p\u003e  \u003ch2\u003e서류\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 모듈 시리즈 데이터시트\u003c\/a\u003e\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eECCN\/HTS\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eHS코드\u003c\/td\u003e  \u003ctd\u003e8543709990\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e미국 연방 규정\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\u003eEUHS코드\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e구구\u003c\/td\u003e  \u003ctd\u003e중국\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 MODULE 32GB-200 Tops AI, 8-Core Cortex-A78AE, Ampere GPU, 32GB LPDDR5, 64GB EMMC, PCIE GEN4","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson AGX Orin 모듈 32GB는 15W~40W 사이에서 전력을 구성하여 최대 200 TOPS의 AI 성능을 제공하며, 로봇 공학 및 기타 자율 기계 사용 사례에 적합한 동일한 소형 폼 팩터에서 Jetson AGX Xavier보다 6배 이상의 성능을 제공합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e56개의 텐서 코어를 탑재한 1792코어 NVIDIA Ampere 아키텍처 GPU\u003c\/li\u003e  \u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e  \u003cli\u003e8코어 Arm Cortex-A78AE v8.2 64비트 CPU\u003c\/li\u003e  \u003cli\u003e고속 메모리: 32GB 256비트 LPDDR5\u003c\/li\u003e  \u003cli\u003e대용량 저장 장치: 64GB eMMC 5.1\u003c\/li\u003e  \u003cli\u003ePVA v2.0\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003e명세서\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eAI 성능\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e200 TOPS(스페인어) |100 TOPS(독일어)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e56개의 텐서 코어를 탑재한 1792코어 NVIDIA Ampere GPU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eDL 가속기\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e2x NVDLA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003e비전 가속기\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003ePVA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8코어 NVIDIA Arm Cortex A78AE v8.2 64비트 CPU; 2MB L2 + 4MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e32GB 256비트 LPDDR5 @ 3200MHz 204.8GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003e저장\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e64GB eMMC 5.1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003e비디오 인코딩\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\u003e비디오 디코딩\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\u003e카메라\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e16개 레인 MIPI CSI-2(16개 가상 채널*) D-PHY 2.1 40Gbps\/C-PHY 2.0 164Gbps\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003ePCI 익스프레스\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e22개 레인 PCIe Gen 4; 최대 2개 x8, 1개 x4, 2개 x1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003e이더넷\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e1Gbe RGMII | 4x 10Gbe XFI\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003e기계적인\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e100mm x 87mm; 699핀 커넥터\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003e힘\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e15W ~ 40W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eHS코드\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8543709990\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003e미국 연방 규정\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8543709860\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eEUHS코드\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003e구구\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e중국\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\u003e포함 사항\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson AGX Orin 모듈 32GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e자율주행차\u003c\/li\u003e  \u003cli\u003e로봇과 드론\u003c\/li\u003e  \u003cli\u003e산업 자동화 및 머신 비전\u003c\/li\u003e  \u003cli\u003e교육 및 연구\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003e세부\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, 인터페이스, 로고 및 이미지 플래싱을 갖춘 맞춤형 reComputer입니다.\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 NX용 A203v2 캐리어 보드, M.2 Key M\/E, GbE, USB 3.0, HDMI, CSI 지원, -25~65°C","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eA203v2 캐리어 보드는 NVIDIA Jetson Nano, Xavier NX 및 TX2 NX 모듈(모듈 미포함)을 위한 업그레이드된 확장형 캐리어 보드입니다. 이 보드는 제조, 물류, 소매 및 농업 전반에 걸쳐 엔드 투 엔드 AI 로봇 및 엣지 컴퓨팅 배포를 지원하기 위해 이더넷, USB, HDMI, CSI 카메라, M.2 저장소 및 M.2 무선 확장을 포함한 풍부한 주변 인터페이스를 통합합니다. 컴팩트한 87mm x 52mm x 26mm 디자인과 -25℃에서 65℃까지의 작동 온도는 UAV, 무인 보트 및 무인 잠수함과 같은 비디오 분석 및 로봇 플랫폼에 적합합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano\/Xavier NX\/TX2 NX용 캐리어 보드, 260핀 모듈 커넥터 포함.\u003c\/li\u003e\n\u003cli\u003e네트워킹: RJ-45를 통한 1x 기가비트 이더넷 (10\/100\/1000M).\u003c\/li\u003e\n\u003cli\u003eUSB: 2x USB 3.0 Type-A, 1x USB 3.0 0.5mm 피치 20핀 ZIF, 1x USB 2.0 Micro-B.\u003c\/li\u003e\n\u003cli\u003e비디오 I\/O: 1x CSI 카메라 커넥터 및 1x HDMI 직각 수직 커넥터.\u003c\/li\u003e\n\u003cli\u003e저장소 확장: 1x M.2 Key M (2242) 및 1x MicroSD 카드 슬롯.\u003c\/li\u003e\n\u003cli\u003e무선 확장: Wi-Fi\/Bluetooth 모듈용 1x M.2 Key E (PCIe 2230).\u003c\/li\u003e\n\u003cli\u003e냉각 및 타이밍: 1x 팬 Picoblade 헤더 및 1x RTC 3V (2핀).\u003c\/li\u003e\n\u003cli\u003e다기능 헤더: 1x 2.0 피치 40핀 (UART, GPIO, SPI 등) 및 1x 2.0 피치 14핀 (리셋, CAN, 복구 등).\u003c\/li\u003e\n\u003cli\u003e전원: 9–20V DC 입력 @ 7A (이미지), DC 잭 12V\/5A; XT30 DC 전원 커넥터.\u003c\/li\u003e\n\u003cli\u003e기계적: 87mm x 52mm x 26mm; 무게 100g (이미지).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ch3\u003e호환성\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\u003e모듈 커넥터\u003c\/td\u003e\n\u003ctd\u003e260핀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e이더넷\u003c\/td\u003e\n\u003ctd\u003e1x 기가비트 이더넷 (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 Type-A; 1x USB 3.0 0.5mm 피치 20핀 ZIF; 1x USB 2.0 마이크로-B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e카메라\u003c\/td\u003e\n\u003ctd\u003e1x CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e디스플레이\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 우측 각도 수직 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e저장소\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 M (2242); 1x 마이크로SD 카드 슬롯\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무선 확장\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 E (PCIe 2230)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e냉각\u003c\/td\u003e\n\u003ctd\u003e1x 팬 Picoblade 헤더\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003eRTC 3V, 2핀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e다기능 헤더\u003c\/td\u003e\n\u003ctd\u003e2.0 피치 40핀 (UART, GPIO, SPI 등); 2.0 피치 14핀 (리셋, CAN, 복구 등))\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 입력\u003c\/td\u003e\n\u003ctd\u003e9–20V DC 입력 @ 7A (이미지); DC 잭 12V\/5A; XT30 DC 전원\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e치수 (W x D x H)\u003c\/td\u003e\n\u003ctd\u003e87mm x 52mm x 26mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e-25℃ ~ 65℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무게\u003c\/td\u003e\n\u003ctd\u003e100g (이미지)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e노트\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson Nano를 사용할 때, M.2 Key E는 작동하지 않습니다; 대신 M.2 Key M을 사용하십시오.\u003c\/li\u003e\n\u003cli\u003eJetson Nano를 사용할 때, CAN은 작동하지 않습니다.\u003c\/li\u003e\n\u003cli\u003e모듈에 OS를 구우려면: 복구 모드로 들어가고, A203v2의 14핀 IO를 찾은 다음, 점퍼 와이어로 핀 3 (RECOVERY)를 GND에 연결하십시오.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e자율 모바일 로봇 (AMR)\u003c\/li\u003e\n\u003cli\u003eAI 비디오 분석\u003c\/li\u003e\n\u003cli\u003e기계 비전\u003c\/li\u003e\n\u003cli\u003e생성적 AI\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eA203v2 캐리어 보드\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 어댑터 90W 19V (전원 케이블 미포함)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e교환선 (XT30 여성형에서 DC 전원 잭 남성형)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e문서\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 캐리어 보드 사양\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 상단View.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 하단View.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 핀description.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/203_paba.stp\" target=\"_blank\"\u003eA203 3D 파일\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/jetsonhacks\/bootFromUSB\" target=\"_blank\"\u003e캐리어 보드 SD 카드\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 장치 및 캐리어 보드 비교\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 하드웨어 카탈로그\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e상세정보\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 캐리어 보드는 Jetson Xavier NX\/Nano\/TX2를 지원하며, 260핀 커넥터와 USB 3.0 기능을 갖추고 있습니다.0, HDMI, M.2, RJ-45, CSI, 및 GPIO. -25°C에서 65°C까지 작동하며, 무게는 100g으로 로봇 공학 및 컴퓨터 비전 응용 프로그램에 적합합니다.\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 캐리어 보드는 DC 전원, 이더넷, USB 3.0, HDMI, M.2 SSD, CSI 및 40핀과 14핀 다기능 인터페이스와 같은 여러 커넥터를 제공합니다. (30 단어)\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\"\u003e캐리어 보드\u003c\/a\u003e는 SD 슬롯, M.2 E 키, 팬 및 레이블이 붙은 260핀 커넥터를 갖추고 있습니다.\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 NX용 reComputer J202 캐리어 보드, 4x USB3.1, M.2 E\/M, HDMI 2.1, DP, GbE, CAN, RTC","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer J202 캐리어 보드는 \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Xavier NX, Jetson Nano 및 TX2 NX 모듈을 위해 설계되었습니다. NVIDIA Jetson Xavier NX 캐리어 보드와 거의 동일한 디자인과 기능을 따르며, 4개의 USB 3.1 Gen2 포트, WiFi\/Bluetooth 모듈을 위한 M.2 Key E, SSD를 위한 M.2 Key M, RTC, CAN, Raspberry Pi 40핀 GPIO 등을 통합하고 있습니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson Xavier NX\/Nano\/TX2 NX 모듈과 호환되는 캐리어 보드\u003c\/li\u003e\n\u003cli\u003e4x USB 3.1 Type‑A (Xavier NX의 경우 10Gbps, Nano의 경우 5Gbps), 추가로 1x USB2.0 Type‑C (장치 모드)\u003c\/li\u003e\n\u003cli\u003e네트워킹: 1x RJ‑45 기가비트 이더넷 (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003e카메라: 2x CSI\u003c\/li\u003e\n\u003cli\u003e디스플레이 출력: 1x HDMI 2.1 및 1x DP\u003c\/li\u003e\n\u003cli\u003e확장: 1x 40핀 확장 헤더 및 1x 12핀 제어 \u0026amp; UART 헤더\u003c\/li\u003e\n\u003cli\u003e저장소 \u0026amp; 무선: 1x M.2 Key M for SSD, 1x M.2 Key E for WiFi\/Bluetooth module\u003c\/li\u003e\n\u003cli\u003e냉각 \u0026및 타이밍: 1x 팬 커넥터, 1x RTC 2핀\u003c\/li\u003e\n\u003cli\u003e전원 입력: DC 12V\/5A\u003c\/li\u003e\n\u003cli\u003e기계적: 100mm x 80mm; 설치는 책상 또는 벽 장착을 지원합니다.\u003c\/li\u003e\n\u003cli\u003e작동 온도: 0℃~60℃\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹 – 이더넷\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ‑45 기가비트 이더넷 (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹 – M.2 Key E\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key E for WiFi\/Bluetooth module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI\/O – USB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.1 Type‑A (Xavier NX의 경우 10Gbps, Nano의 경우 5Gbps), 1x USB2.0 Type‑C (장치 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI\/O – 카메라\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI\/O – 디스플레이\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 – 팬\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 팬 커넥터\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 – 확장\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40핀 확장 헤더; 1x 12핀 제어 및 UART 헤더\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 2핀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원\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\u003e기계적 – 치수 (W 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\u003e기계적 – 설치\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e책상, 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 온도\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\u003e하드웨어 개요\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eMIPI-CSI 카메라 커넥터 (2x)\u003c\/li\u003e\n\u003cli\u003eHDMI 및 DP 디스플레이 출력\u003c\/li\u003e\n\u003cli\u003eUSB 3.1 포트 (4x) 및 USB Type‑C (장치 모드)\u003c\/li\u003e\n\u003cli\u003eRJ‑45 기가비트 이더넷\u003c\/li\u003e\n\u003cli\u003e40핀 확장 헤더 (GPIO, I2C, UART) 및 12핀 제어\/UART 헤더\u003c\/li\u003e\n\u003cli\u003e팬 헤더\u003c\/li\u003e\n\u003cli\u003eRTC 소켓\/2핀\u003c\/li\u003e\n\u003cli\u003eM.2 키 E (WiFi\/Bluetooth) 및 M.2 키 M (SSD)\u003c\/li\u003e\n\u003cli\u003eJetson 모듈용 260핀 SODIMM 커넥터\u003c\/li\u003e\n\u003cli\u003eDC 전원 잭\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAI 비디오 분석\u003c\/li\u003e\n\u003cli\u003e기계 비전\u003c\/li\u003e\n\u003cli\u003e자율 모바일 로봇 (AMR)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e문서\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 내용\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ereComputer J202 \u003ca href=\"https:\/\/rcdrone.top\/collections\/carrier-boards\" title=\"Carrier Board\"\u003e캐리어 보드\u003c\/a\u003e x1\u003c\/li\u003e\n\u003cli\u003e12V\/5A 전원 어댑터 5.5mm\/2.1mm (전원 코드 미포함) x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003e참고:\u003c\/strong\u003e 이 제품에는 전원 어댑터가 포함되어 있지만 AC 클로버리프 전원 코드는 포함되어 있지 않습니다. 귀하의 지역에 적합한 코드를 구매해 주시기 바랍니다: \u003ca href=\"https:\/\/www.seeedstudio.com\/AC-US-p-5122.html\" target=\"_blank\"\u003eAC 클로버리프 전원 코드 – 미국\u003c\/a\u003e; \u003ca href=\"https:\/\/www.seeedstudio.com\/AC-EU-p-5121.html\" target=\"_blank\"\u003eAC 클로버리프 전원 코드 – 유럽\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003e상세정보\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 캐리어 보드는 Jetson Xavier NX\/Nano\/TX2를 지원하며, 260핀 커넥터, 오픈 소스 하드웨어, 넓은 온도 범위, Wi-Fi\/Bluetooth, M.2 SSD, 기가비트 이더넷, 여러 USB 포트, HDMI 및 로봇 공학과 컴퓨터 비전 분야의 응용 프로그램을 특징으로 합니다.\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\u003e260핀 SODIMM, 네 개의 USB 3.1 포트, DP 및 HDMI 출력, DC 전원 잭, USB Type-C, 기가비트 이더넷, PoE, LED 표시기, GPIO, I2C, UART, CAN, 팬 헤더, RTC 2핀, 이중 MIPI-CSI 카메라 커넥터, 제어 및 UART 헤더, Seed Studio 로고가 특징입니다. 컴팩트 임베디드 애플리케이션에서 향상된 연결성과 확장을 위해 여러 인터페이스를 지원합니다.\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 캐리어 보드는 M.2 KEY E, M.2 KEY M, RTC 소켓, 여러 커넥터, Seed Studio 브랜드 및 준수 마크를 포함합니다.\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 NX용 A205E 캐리어 보드, 듀얼 GbE, USB 3.1 4개, HDMI 2.0 2개, M.2 Key M, RS232\/RS485\/CAN 지원","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson Nano, Xavier NX 및 TX2 NX용 A205E 캐리어 보드는 산업용 임베디드 AI 시스템 구축을 위해 설계되었습니다. 이 보드는 산업용 RS232 및 RS485 인터페이스, 고속 I\/O, CAN 버스 및 유연한 저장소를 통합하며, \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e 모듈과의 호환성을 유지합니다. 컴팩트한 115mm x 105mm 캐리어 보드는 9-36V DC 입력에서 작동하며 -25℃~80℃의 온도 범위에서 사용할 수 있어 로봇 공학, 머신 비전 및 AI 비디오 분석 배치에 적합합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano \/ Xavier NX \/ TX2 NX와 호환 (260핀 SODIMM 커넥터)\u003c\/li\u003e\n\u003cli\u003e네트워킹: 2x 기가비트 이더넷 (10\/100\/1000M); WiFi\/Bluetooth 모듈\u003c\/li\u003e\n\u003cli\u003eUSB \u0026및 I\/O: 4x USB 3.1 Type A, 1x USB 2.0 Type C, 1x USB 2.0 ZIF 20P 0.5mm 피치\u003c\/li\u003e\n\u003cli\u003e카메라: 1x MIPI CSI-2 (MIPI CSI 및 GMSL과 호환)\u003c\/li\u003e\n\u003cli\u003e디스플레이: 2x HDMI 2.0 (타입 A)\u003c\/li\u003e\n\u003cli\u003e오디오: 1x 오디오 잭, 2x 스피커 커넥터\u003c\/li\u003e\n\u003cli\u003e산업 인터페이스: 1x CAN; 1x RS485; 1x RS232; 1x UART; 1x SPI 버스 (+3.3V 레벨); 2x I2C 링크 (+3.3V I\/O)\u003c\/li\u003e\n\u003cli\u003e저장소: 1x PCIe M.2 키 M (NVMe SSD), 1x MicroSD 카드 슬롯\u003c\/li\u003e\n\u003cli\u003e냉각 \u0026및 타이밍: 1x 팬 (5V PWM), RTC\u003c\/li\u003e\n\u003cli\u003e전원: 9-36V DC 입력; 기계적 크기: 115mm x 105mm; 작동 온도: -25℃~80℃\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eSSD 호환성 주의사항\u003c\/h3\u003e\u003cp\u003ereComputer\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003e Jetson과 함께 사용되는 SSD의 경우, 일부 서드파티 SSD가 이 제품과 호환되지 않을 수 있으므로 \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, 또는 \u003ca href=\"https:\/\/www.seeedstudio.com\/NVMe-M-2-2280-SSD-512GB-p-5334.html\" target=\"_blank\"\u003e512GB\u003c\/a\u003e 용량의 Seeed NVMe M.2 2280 SSD를 선택하는 것이 권장됩니다.\u003c\/p\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e호환성\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\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x PCIe M.2 Key M (NVMe SSD); 1x MicroSD 카드 슬롯\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e이더넷\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x 기가비트 이더넷 (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e무선\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWiFi\/Bluetooth 모듈\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 Type A; 1x USB 2.0 Type C; 1x USB 2.0 ZIF 20P 0.5mm 피치\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e카메라\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x MIPI CSI-2 (MIPI CSI 및 GMSL과 호환)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e디스플레이\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\u003e오디오\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 오디오 잭; 2x 스피커 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e산업용 I\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x CAN; 1x RS485; 1x RS232; 1x UART; 1x SPI 버스 (+3.3V 레벨); 2x I2C 링크 (+3.3V I\/O)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e냉각\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 팬 (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원 입력\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\u003e기계적 (W 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\u003e작동 온도\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\u003e하드웨어 개요\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e보드에 레이블이 붙은 접근 가능한 커넥터: 듀얼 RJ45 GbE, 4x USB 3.0\/3.1 타입 A, USB 타입-C 2.0, 2x HDMI 2.0, 오디오 잭, 스피커 커넥터, DC 잭, 20핀 I\/O, TF (MicroSD) 슬롯, 리셋 \u0026및 복구, 전원 버튼.\u003c\/li\u003e\n\u003cli\u003e온보드 헤더 및 소켓: I2C 커넥터, RTC 소켓, WiFi\/BLE 모듈 영역, Jetson 모듈용 260핀 SODIMM, 5V PWM 팬 헤더.\u003c\/li\u003e\n\u003cli\u003e하단 인터페이스: SSD용 M.2 Key M, MIPI CSI, DC 입력 라우팅.\u003c\/li\u003ehtml\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e자율 모바일 로봇 (AMR)\u003c\/li\u003e\n\u003cli\u003eAI 비디오 분석\u003c\/li\u003e\n\u003cli\u003e기계 비전\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e문서\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 캐리어 보드 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 장치 및 캐리어 보드 비교\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 하드웨어 카탈로그\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eA205E 캐리어 보드 x1\u003c\/li\u003e\n\u003cli\u003e전원 어댑터 19V 4.\n74A (전원 코드 없음) x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e상세정보\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\"\u003e캐리어 보드\u003c\/a\u003e는 Jetson Xavier NX\/Nano\/TX2를 지원하며, 260핀 커넥터, 넓은 온도 범위(-25°C에서 80°C), 산업용 통신, Wi-Fi\/Bluetooth, M.2 SSD, 듀얼 GbE, MIPI CSI, HDMI, USB 포트, 오디오 및 9-36V DC 입력을 제공하여 로봇 및 컴퓨터 비전 애플리케이션에 적합합니다.\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 캐리어 보드는 2개의 RJ45 이더넷, 4개의 USB 3.0, 2개의 HDMI 2.0, 오디오 잭, 260핀 SODIMM, USB 2.0, IIC, RTC 소켓, WiFi\/BLE, TF 카드, Type-C 및 다양한 I\/O 커넥터를 제공하여 다목적 연결성을 지원합니다.\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 NX용 A205 캐리어 보드, 2x GbE, 6x CSI, 5x SATA, 4x USB 3.0, 듀얼 HDMI, 13–19V DC","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eA205 캐리어 보드는 NVIDIA Jetson Nano \/ Xavier NX \/ TX2 NX 모듈(모듈 미포함)을 위한 컴팩트한 확장 플랫폼입니다. 이 \u003ca href=\"https:\/\/rcdrone.top\/collections\/carrier-boards\" title=\"Carrier Board\"\u003e캐리어 보드\u003c\/a\u003e는 저장소, 카메라, 디스플레이, 네트워킹 및 제어 인터페이스를 170mm x 100mm 크기로 통합하여 로봇 공학, 자동 광학 검사, AI 비디오 분석, 3D 모델링 등 다양한 엣지 AI 애플리케이션을 가능하게 합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e지원되는 Jetson 모듈: Nano \/ Xavier NX \/ TX2 NX\u003c\/li\u003e\n\u003cli\u003e네트워킹: 2x 기가비트 이더넷 (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003eUSB: 4x USB 3.0 타입 A (통합 USB 2.0), 1x USB 2.0 타입 C (OTG 지원)\u003c\/li\u003e\n\u003cli\u003e카메라: 6x MIPI CSI-2 커넥터\u003c\/li\u003e\n\u003cli\u003e디스플레이: 2x HDMI\u003c\/li\u003e\n\u003cli\u003e저장소: 5x SATA, 1x TF 카드 슬롯\u003c\/li\u003e\n\u003cli\u003e무선 확장: 1x M.2 키 E; WiFi\/Bluetooth via M.2 키 E; 1x 표준 USB WIFI 모드 (4핀 인터페이스)\u003c\/li\u003e\n\u003cli\u003e냉각: 2 x 팬 (12V\/5V), 1 x 팬 (5V PWM)\u003c\/li\u003e\n\u003cli\u003e오디오: 1 x 오디오 잭, 2 x 마이크, 2 x 스피커 (1W)\u003c\/li\u003e\n\u003cli\u003e제어 및 확장 헤더: I2C, UART, GPIO, SPI, 시스템\/전원 제어, LED 상태\u003c\/li\u003e\n\u003cli\u003eRTC 지원됨\u003c\/li\u003e\n\u003cli\u003e전원: +13V ~ +19V DC 입력 @ 8A\u003c\/li\u003e\n\u003cli\u003e작동 온도: -25℃ ~ 80℃\u003c\/li\u003e\n\u003cli\u003e참고: Jetson Nano를 사용할 때 M.2 키 E는 작동하지 않습니다.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e제품 유형\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e캐리어 보드\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e호환 모듈\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 나노 \/ 제비어 NX \/ TX2 NX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x 기가비트 이더넷 (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 타입 A (통합 USB 2.0); 1x USB 2.0 타입 C (OTG 지원)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e카메라\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\u003e디스플레이\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x HDMI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e오디오\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 x 오디오 잭; 2 x 마이크; 2 x 스피커 (1W)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5x SATA; 1x TF 카드 슬롯\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 확장\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 E 인터페이스\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e팬 인터페이스\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 x 팬 (12V\/5V); 1 x 팬 (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSPI 버스\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 x SPI 버스 (+3.3V 레벨)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e다기능 포트\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 시스템 제어; 1x 전원 제어; 2x I2C 링크 (+3.3V I\/O); 1x UART (+3.3V 레벨); 2x GPIO (+3.3V 레벨); 2x SPI 버스 (+3.3V 레벨); 1x LED 상태\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원 입력\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e+13V에서 +19V DC 입력 @ 8A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e기계적 (W 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\u003e작동 온도\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\u003e하드웨어 개요\u003c\/h2\u003e\u003ch3\u003eUSB 복구 모드 (USB 업데이트용)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e시스템 전원을 끕니다 (전원이 꺼져 있는지 확인, 대기 모드 아님).\u003c\/li\u003e\n\u003cli\u003eUSB Type-C 케이블을 사용하여 캐리어를 호스트에 연결합니다.\u003c\/li\u003e\n\u003cli\u003e전원을 켭니다.\u003c\/li\u003e\n\u003cli\u003e복구 키를 누르고 있는 동안 전원 키를 누릅니다. 불이 켜지면 전원 키를 놓고 2초 기다린 후 복구 키를 놓습니다. 또는 전원이 켜져 있는 상태에서 리셋과 복구를 동시에 누르고, 리셋을 2초 동안 놓은 후 복구를 놓습니다.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e시스템 업데이트 단계에 대한 업데이트 매뉴얼을 따르십시오.USB 복구 모드에서는 시스템이 시작되지 않으며, 직렬 포트에 디버그 출력이 없습니다.\u003c\/p\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e자율 모바일 로봇 (AMR)\u003c\/li\u003e\n\u003cli\u003eAI 비디오 분석\u003c\/li\u003e\n\u003cli\u003e기계 비전\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e문서\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/A205-Carrier-Board-Specification.pdf\" target=\"_blank\"\u003eA205 캐리어 보드 사양\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 핀 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 상단 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 하단 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 파일 (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 장치 및 캐리어 보드 비교\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 하드웨어 카탈로그\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 내용\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eA205 캐리어 보드 x1\u003c\/li\u003e  \n\u003cli\u003e전원 어댑터 19V\/4.74A (최대 90W) (전원 케이블 포함되지 않음) x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e상세정보\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 캐리어 보드는 Jetson Xavier NX\/Nano\/TX2를 지원하며, 260핀 커넥터, 4x USB 3.0, 듀얼 GbE, 6x MIPI CSI, 2x HDMI, SATA, TF 카드 슬롯, 오디오 및 DC 입력을 특징으로 합니다. 로봇 공학 및 컴퓨터 비전을 위해 설계되었으며, 작동 온도 범위는 -25°C에서 80°C입니다.\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 캐리어 보드는 여러 포트, 커넥터 및 구성 요소를 갖추고 있으며, FLY CORE 칩과 cm 및 인치로 표시된 치수를 특징으로 합니다.\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 캐리어 보드는 USB, HDMI 및 GPIO 포트를 가지고 있습니다. 구성 요소는 W1–W32, LED 및 FLY_CORE로 라벨이 붙어 있습니다. 버전: 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 캐리어 보드는 카메라 인터페이스 및 중앙 처리 구성 요소를 위한 라벨이 붙은 커넥터 W32에서 W36까지 있습니다.\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 슈퍼 개발 키트, 67 TOPS, USB 3.2 Gen2, 2x M.2 Key M, Wi‑Fi, DP 1.2","description":"\u003ch2\u003e개요\u003c\/h2\u003e\n\u003cp\u003eNVIDIA Jetson Orin Nano 슈퍼 개발자 키트는 Jetson Orin Nano 8GB 모듈을 기반으로 한 컴팩트 엣지 AI 키트로, 최대 67 TOPS AI 성능을 제공하며, 이는 원래의 \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin Nano 개발자 키트에 비해 1.7배 향상된 성능입니다. 이 키트는 1,024 CUDA 코어와 32 텐서 코어를 갖춘 앰페어 아키텍처 GPU와 6코어 Arm Cortex-A78AE CPU를 결합하여 낮은 전력과 낮은 지연 시간으로 여러 동시 AI 파이프라인을 가능하게 합니다. 손바닥 크기의 디자인(100mm x 79mm x 21mm)은 4x USB 3.2 Gen2, DP 1.2, SSD용 2x M.2 Key M, 사전 설치된 Wi-Fi\/Bluetooth 모듈이 있는 M.2 Key E 슬롯, microSD, 2x MIPI CSI-2, 기가비트 이더넷 및 40핀 확장 헤더를 포함한 풍부한 I\/O를 통합하고 있습니다. 히트싱크와 팬, 전원 어댑터가 포함되어 있습니다.\u003c\/p\u003e\n\u003ch2\u003e주요 특징\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eJetson Orin Nano 8GB에서 최대 67 TOPS INT8 (Sparse) AI 성능; 높은 처리량 추론을 위한 앰페어 GPU 및 6코어 Arm CPU.\u003c\/li\u003e\u003cli\u003e컴팩트한 크기: 100mm x 79mm x 21mm; 팬과 전원 어댑터가 포함된 히트싱크.\u003c\/li\u003e\n\u003cli\u003e확장을 위한 풍부한 I\/O: 4x USB 3.2 Gen2, 1x USB Type‑C (UFP), DP 1.2 (+MST), 2x MIPI CSI‑2 (22‑핀), 1x 기가비트 이더넷, 1x 40‑핀 확장 헤더, 1x 12‑핀 제어\/UART 헤더, 1x CAN, 1x 4‑핀 팬 (5V PWM).\u003c\/li\u003e\n\u003cli\u003e저장소 및 무선: 1x microSD 슬롯; 2x M.2 Key M SSD용 (PCIe Gen3); 1x M.2 Key E에 사전 설치된 Wi‑Fi\/Bluetooth 콤보 모듈.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e노트\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e펌웨어: 장치는 JetPack 6.x와 호환되지 않는 구형 공장 펌웨어로 출하됩니다. JetPack 6.x 이미지로 플래시된 microSD 카드를 사용하기 전에 최신 펌웨어로 업데이트하십시오. 소프트웨어 및 업데이트는 \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\" rel=\"noopener\" target=\"_blank\"\u003e이 링크\u003c\/a\u003e에서 다운로드하십시오.\u003c\/li\u003e\n\u003cli\u003e관련 참조: \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-Super-J4012-p-6443.html\" rel=\"noopener\" target=\"_blank\"\u003ereComputer Super J4012\u003c\/a\u003e는 Jetson Orin NX 16GB 모듈을 사용하며 MAXN 슈퍼 모드에서 최대 157 TOPS를 제공합니다.\u003c\/li\u003ehtml\n\u003c\/ul\u003e\n\u003ch2\u003e사양\u003c\/h2\u003e\n\u003ch3\u003e구성 비교\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin Nano 개발 키트 (원본)\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin Nano 슈퍼 개발 키트\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA 앰페어 아키텍처; 1,024 CUDA 코어; 32 텐서 코어; 635 MHz\u003c\/td\u003e\n\u003ctd\u003eNVIDIA 앰페어 아키텍처; 1,024 CUDA 코어; 32 텐서 코어; 1,020MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI 성능\u003c\/td\u003e\n\u003ctd\u003e40 INT8 TOPS (희소); 20 INT8 TOPS (밀집); 10 FP16 TFLOPs\u003c\/td\u003e\n\u003ctd\u003e67 TOPS (희소); 33 TOPS (밀집); 17 FP16 TFLOPs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6코어 Arm Cortex‑A78AE v8.2 64비트 CPU; 1.5 GHz\u003c\/td\u003e\n\u003ctd\u003e6코어 Arm Cortex‑A78AE v8.2 64비트 CPU; 1.\n7 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\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\u003e모듈 전력\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 모듈 시스템\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI 성능\u003c\/td\u003e\n\u003ctd\u003eSD 카드 슬롯이 있는 Jetson Orin Nano 8GB – 67 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA 앰페어 아키텍처, 1,024 NVIDIA® CUDA® 코어 및 32 텐서 코어 포함\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6코어 Arm® Cortex®‑A78AE v8.2 64비트 CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e8GB 128‑bit LPDDR5; 102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 인코더\u003c\/td\u003e\n\u003ctd\u003e1–2 CPU 코어로 지원되는 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 디코더\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\u003e전원\u003c\/td\u003e\n\u003ctd\u003e7W–25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e캐리어 보드\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e저장소\u003c\/td\u003e\n\u003ctd\u003e1x microSD 슬롯 (UHS‑1 카드 최대 SDR104 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워킹\u003c\/td\u003e\n\u003ctd\u003e1x 기가비트 이더넷 (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe\u003c\/td\u003e\n\u003ctd\u003eM.2 키 M: 4x PCIe GEN3; 2x PCIe GEN3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 키 E\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 E (사전 설치된 1x Wi‑Fi\/Bluetooth 콤보 모듈); PCIe (x1), USB 2.0, UART, I2S, 및 I2C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4x Type‑A USB 3.2 Gen2; 1x Type‑C for UFP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCSI 카메라\u003c\/td\u003e\n\u003ctd\u003e2x MIPI CSI‑2 (22‑핀)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e디스플레이\u003c\/td\u003e\n\u003ctd\u003e1x DP 1.2 (+MST) 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e팬\u003c\/td\u003e\n\u003ctd\u003e1x 4핀 팬 커넥터 (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\u003e확장\u003c\/td\u003e\n\u003ctd\u003e1x 40핀 확장 헤더; 1x 12핀 제어 및 UART 헤더; RTC 2핀 (CR1220 지원, 포함되지 않음)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 공급\u003c\/td\u003e\n\u003ctd\u003e9V–19V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e기계적 (가로 x 세로 x 높이)\u003c\/td\u003e\n\u003ctd\u003e100mm x 79mm x 21mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e제품 무게\u003c\/td\u003e\n\u003ctd\u003e0.176 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e보증\u003c\/td\u003e\n\u003ctd\u003e개발 용도로만 1년 보증\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e포함된 항목\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Jetson Orin Nano 슈퍼 개발 키트\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e19V 전원 어댑터\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e타입 B (미국, 일본, 캐나다, 필리핀) 전원 케이블\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e타입 I (중국) 전원 케이블\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC 라벨\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e빠른 시작 및 지원 가이드\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e포함되지 않은 항목\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003emicroSD 카드 (64GB UHS‑1 이상 권장)\u003c\/li\u003e\n\u003cli\u003eUSB 키보드 및 마우스\u003c\/li\u003e\n\u003cli\u003e컴퓨터 디스플레이\u003c\/li\u003e\n\u003cli\u003eUSB 케이블\u003c\/li\u003e\n\u003cli\u003eNVMe SSD 카드\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAI 비디오 분석\u003c\/li\u003e\n\u003cli\u003e기계 비전\u003c\/li\u003e\u003cli\u003e자율 이동 로봇 (AMR)\u003c\/li\u003e\n\u003cli\u003e생성적 AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e문서\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 슈퍼 개발자 키트\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 하드웨어 카탈로그\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e상세정보\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™ 개발자 키트, Blackwell GPU, 2070 FP4 TFLOPS, 14코어 CPU, 128GB LPDDR5X, 다양한 I\/O, 130W","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eNVIDIA® Jetson AGX Thor™ 개발 키트는 차세대 휴머노이드 로봇을 위해 맞춤 설계된 개발 키트입니다. 이 키트는 Blackwell 아키텍처 GPU와 128 GB 고속 메모리를 통해 최대 2070 FP4 TFLOPS의 AI 성능을 제공하며, 모두 컴팩트한 130 W 전력 범위 내에서 작동합니다. Jetson AGX Orin™과 비교할 때, 최신 생성 AI 모델을 실시간으로 실행하기 위해 최대 7.5배 더 많은 AI 성능과 3.5배 더 나은 에너지 효율성을 제공합니다. 멀티모달 인식, 의사결정 및 제어를 지원합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003ch3\u003e로봇을 위한 극한의 AI 성능\u003c\/h3\u003e\u003cp\u003e2560 코어와 96 텐서 코어를 갖춘 Blackwell GPU가 탑재된 Jetson T5000 모듈로 구동되며, 최대 2070 FP4 \/ 1035 FP8 TFLOPS를 제공—LLM, VLA (NVIDIA® Isaac™ GR00TN과 같은), ViT 등과 같은 다양한 생성 AI 모델을 실행하는 데 이상적입니다.\u003c\/p\u003e\u003ch3\u003e변환기 및 다중 모드 작업에 최적화됨\u003c\/h3\u003e\u003cp\u003e내장된 변환기 엔진, 다중 인스턴스 GPU (MIG) 지원 및 128 GB LPDDR5X 메모리 (273 GB\/s)는 엣지에서 효율적인 훈련 및 추론을 가능하게 합니다.\u003c\/p\u003e\u003ch3\u003e실시간 처리 및 제어\u003c\/h3\u003e\u003cp\u003e14코어 Arm® Neoverse®-V3AE 64비트 CPU는 실시간 로봇 응용 프로그램을 위한 빠르고 결정론적인 성능을 제공합니다.\u003c\/p\u003e\u003ch3\u003e고속 센서 및 네트워크 통합\u003c\/h3\u003e\u003cp\u003e최대 4× 25 GbE 연결, 140 W 전원 공급 장치 및 HDMI, DisplayPort, USB 3.2\/USB-C, CAN 및 GbE를 포함한 풍부한 I\/O를 지원하여 고대역폭, 저지연 센서 융합을 가능하게 합니다.\u003c\/p\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI 성능\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2070 TFLOPS (FP4—Sparse)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2560‑코어 NVIDIA Blackwell 아키텍처 GPU, 96개의 5세대 텐서 코어; 10개의 TPC가 있는 다중 인스턴스 GPU (MIG)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU 최대 주파수\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‑코어 Arm® Neoverse®‑V3AE 64‑비트 CPU; 코어당 1 MB L2 캐시; 16 MB 공유 시스템 L3 캐시\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU 최대 주파수\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\u003e비전 가속기\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 개 PVA v3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e128 GB 256‑비트 LPDDR5X; 273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e스토리지\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 TB NVMe M.2 키 M 슬롯; PCIe를 통한 NVMe 지원; USB 3.을 통한 SSD 지원.html\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 인코딩\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\u003e비디오 디코딩\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\u003e카메라\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eQSFP 슬롯을 통한 HSB 카메라; USB 카메라; HSB를 통해 최대 20대의 카메라; 16× 레인 MIPI CSI‑2를 통해 최대 6대의 카메라; 가상 채널을 사용하여 최대 32대의 카메라; 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 키 M 슬롯 x4 PCIe Gen5; M.2 키 E 슬롯 x1 PCIe Gen5; 최대 Gen5 (x8 레인); 루트 포트 전용—C1 (x1) 및 C3 (x2); 루트 포인트 또는 엔드포인트—C2 (x1), C4 (x8), 및 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 호스트 컨트롤러와 통합된 PHY (최대 3× USB 3.2 및 4× USB 2.0)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹*\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1× 5GBe RJ45 커넥터; 1× QSFP28 (4× 25 GbE); 4× 25 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e디스플레이\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1× HDMI 2.0b; 1× DisplayPort 1.4a; 4× 공유 HDMI 2.1; VESA DisplayPort 1.4a—HBR2, MST\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e기타 I\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eQSFP 커넥터; M.2 Key E 확장 슬롯 (WLAN\/BT, x1 PCIe, USB2.0, UART, I2C, I2S); M.2 Key M 커넥터 (NVMe 저장용); PCIe x4 레인, I2C, PCIe x2 레인; 2× 13‑핀 CAN 헤더; 2× 6‑핀 자동화 헤더; LED; JTAG 커넥터 (2× 5‑핀 헤더); 1× 팬 커넥터—12 V, PWM, Tach; 오디오 패널 헤더 (2× 5‑핀); 마이크로핏 전원 잭; RTC 백업 배터리 커넥터 2‑핀; 5× I2S\/2× 오디오 허브 (AHUB), 2× DMIS, 4× UART, 4× CAN, 3× SPI, 13× I2C, 6× PWM 출력\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원\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\u003e기계적\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e개발 키트: 243.19 mm × 112.40 mm × 56.88 mm; 열전달판 (TTP) 및 선택적 팬 또는 히트 싱크. 모듈: 100 mm × 87 mm; 699‑핀 B2B 커넥터; 열파이프가 통합된 TTP.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003e* 지원되는 기능에 대한 최신 NVIDIA Jetson Linux 개발자 가이드의 소프트웨어 기능 섹션을 참조하십시오.\u003cbr\u003e** 저속 I\/O 사양은 변경될 수 있습니다.\u003c\/p\u003e\u003ch2\u003e포함된 내용\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA® Jetson T5000 모듈(히트싱크 및 참조 캐리어 보드 포함) ×1\u003c\/li\u003e\n\u003cli\u003eDC 전원 140 W ×1\u003c\/li\u003e\n\u003cli\u003eWiFi 모듈 ×1\u003c\/li\u003e\n\u003cli\u003e1 TB NVMe ×1\u003c\/li\u003e\n\u003cli\u003e빠른 시작 가이드 ×1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e휴머노이드 로봇 개발 및 워크플로우\u003c\/li\u003e\n\u003cli\u003e공간 지능: NVIDIA 비디오 요약 및 검색(VSS)을 사용하는 시각 AI 에이전트\u003c\/li\u003e\n\u003cli\u003eNVIDIA Holoscan을 통한 다중 센서 처리 및 실시간 센서 융합\u003c\/li\u003e\n\u003cli\u003e엣지에서의 생성 AI: 다중 모달리티 및 기초 모델\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e문서\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"https:\/\/nvdam.nvidia.com\/c\/bg2nvwaz?t=qf3z5c7k\" target=\"_blank\"\u003e데이터시트\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e상세정보\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 T5000은 Blackwell GPU를 탑재하여 2070 TFLOPS AI 성능, 273 GB\/s 메모리 대역폭, 14코어 CPU를 제공합니다.기능에는 1TB NVMe SSD, Wi-Fi 6e, 풍부한 I\/O 연결성, 히트싱크, 팬 및 인간형 로봇을 위한 고급 냉각이 포함됩니다.\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\u003e인간형 로봇 공학. NVIDIA GROOT 워크플로우로 인간형 로봇 개발을 가속화하세요. 실험실 환경에서의 두 로봇.\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 비디오 요약 및 검색으로 구동되는 시각 AI 에이전트. 10년에 걸친 AI 진화를 추적합니다—지각에서 물리적 AI까지. 오디오 전사 포함.\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\u003e다중 센서 처리: NVIDIA Holoscan을 사용하여 실시간으로 센서 처리를 간소화합니다.\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\u003e생성 AI는 엣지 배포, 다중 모달리티 및 기초 모델을 통해 물리적 세계를 구동합니다.\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 개발자 키트 – 275 TOPS 엣지 AI, 12코어 CPU, 64GB LPDDR5, 64GB eMMC, PCIe Gen4, 10GbE","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson AGX Orin 64GB 개발 키트는 로봇 공학 및 엣지 AI를 위한 중요한 발전을 제공합니다. 이 개발 키트는 구성 가능한 15W–60W 전력 범위에서 컴팩트한 형태로 최대 275 TOPS의 AI 성능을 제공하며, 고급 로봇, 자율 기계 및 실시간 분석 시스템 구축을 위해 Jetson AGX Xavier의 AI 성능보다 8배 이상 향상되었습니다. 개발자는 동일한 플랫폼에서 자연어 이해, 3D 인식 및 다중 센서 융합을 위한 대규모 복잡한 모델을 배포할 수 있습니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e엣지 AI 성능: 최대 275 TOPS; Jetson AGX Xavier 성능의 8배 이상; 15W–60W 구성 가능한 전력.\u003c\/li\u003e\n\u003cli\u003e온보드 저장소 및 메모리: 64GB eMMC와 64GB DRAM 및 204 GB\/s 메모리 대역폭.\u003c\/li\u003e\n\u003cli\u003e다중 센서 작업을 위한 고속 I\/O: 22 레인 PCIe Gen4, 1× 10GbE, DisplayPort, 16 레인 MIPI CSI‑2, USB 3.2 및 40핀 헤더.\u003c\/li\u003e\n\u003cli\u003eJetPack 6.0 지원: Linux 36 기반.2 제공하는 Linux Kernel 5.15, UEFI 기반 부트로더, Ubuntu 22.04 루트 파일 시스템, NVIDIA 드라이버, 필요한 펌웨어, 툴체인 등.\u003c\/li\u003e\n\u003cli\u003e참고: Jetson AGX Orin 개발 키트는 64GB 메모리로 업그레이드되었습니다. 성능은 원래 32GB 버전과 동일하지만 메모리 용량만 다릅니다.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ch3\u003eJetson AGX Orin 모듈 (모듈형 시스템)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI 성능\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\u003eNVIDIA 앰페어 아키텍처, 2048 NVIDIA CUDA 코어 및 64 텐서 코어 탑재\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e12코어 Arm Cortex‑A78AE v8.2 64비트 CPU; 3MB L2 + 6MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL 가속기\u003c\/td\u003e\n\u003ctd\u003e2× NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비전 가속기\u003c\/td\u003e\n\u003ctd\u003ePVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e64GB 256비트 LPDDR5, 204.8GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e저장소\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 인코딩 (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\u003e비디오 디코딩 (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\u003e모듈 전원\u003c\/td\u003e\n\u003ctd\u003e15W–60W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003e캐리어 보드\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e저장소\u003c\/td\u003e\n\u003ctd\u003e1× M.2 키 M (4× PCIe Gen4); SSD 모듈 미포함\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워크 – 이더넷\u003c\/td\u003e\n\u003ctd\u003e1× RJ45, 최대 10GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워크 – M.2 키 E\u003c\/td\u003e\n\u003ctd\u003e1× PCIe Gen4, USB 2.0, UART, I2S (무선 모듈 포함)\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 마이크로-B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e카메라\u003c\/td\u003e\n\u003ctd\u003e16-레인 MIPI CSI-2 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e디스플레이\u003c\/td\u003e\n\u003ctd\u003e디스플레이포트 1.4a (+MST)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e팬\u003c\/td\u003e\n\u003ctd\u003e1× 4-핀 팬 헤더\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe 슬롯\u003c\/td\u003e\n\u003ctd\u003e16× PCIe 슬롯, 8× PCIe Gen4 지원\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e2-핀 RTC 배터리 백업 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003emicroSD\u003c\/td\u003e\n\u003ctd\u003eSDR104 모드까지 UHS-I 카드 지원\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e기타 I\/O\u003c\/td\u003e\n\u003ctd\u003e40-핀 헤더 (I2C, GPIO, SPI, CAN, I2S, UART, DMIC); 12-핀 자동화 헤더; 10-핀 오디오 패널 헤더; 10-핀 JTAG 헤더; DC 전원 잭; 전원, 강제 복구 및 리셋 버튼\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e입력 전원\u003c\/td\u003e\n\u003ctd\u003e12–36V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e치수\u003c\/td\u003e\n\u003ctd\u003e110mm × 110mm × 71.65mm (발 포함, 캐리어 보드, 모듈 및 열 솔루션 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 항목\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 개발 키트 ×1\u003c\/li\u003e\n\u003cli\u003e전원 어댑터 AC 전원 브릭 90W ×1\u003c\/li\u003e\n\u003cli\u003eUSB‑C 케이블 ×1\u003c\/li\u003e\n\u003cli\u003eType B (미국, 캐나다, 일본) 전원 케이블 ×1\u003c\/li\u003e\n\u003cli\u003eType I (중국) 전원 케이블 ×1\u003c\/li\u003e\n\u003cli\u003eType B (대만) 전원 케이블 ×1\u003c\/li\u003e\n\u003cli\u003eUPC 라벨 ×1\u003c\/li\u003e\n\u003cli\u003e빠른 시작 및 지원 가이드 ×1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003ch3\u003e응용 분야\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eAI 비디오 분석\u003c\/li\u003e\n\u003cli\u003e기계 비전\u003c\/li\u003e\n\u003cli\u003e자율 모바일 로봇 (AMR)\u003c\/li\u003e\n\u003cli\u003e생성적 AI\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e생성적 AI를 엣지로 가져올 수 있는 능력\u003c\/h3\u003e\u003cp\u003e비전-언어 모델(e.g., LLaVA)을 사용하여 실시간 또는 아카이브된 비디오 및 이미지를 처리하는 AI 에이전트를 구축하여 자연어를 통해 요약, 검색 및 통찰력을 추출합니다.\u003c\/p\u003e\u003ch3\u003e다중 스트림 AI 비디오 분석 구축\u003c\/h3\u003e\u003cp\u003eJetson Orin 플랫폼은 NVIDIA 다중 표준 비디오 디코더를 통합하여 SD, HD 및 UltraHD (8K\/4K) 콘텐츠의 비디오 디코드를 가속화하여 다중 스트림 분석 파이프라인을 지원합니다.\u003c\/p\u003e\u003cp\u003e빠른 배포 리소스는 커뮤니티 예제를 통해 제공되어 단일 명령 설정으로 생성 AI (e.g., Ollama, Llama3) 및 컴퓨터 비전 (e.g., YOLOv8)을 실행할 수 있습니다.\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\u003e문서\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 사양\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 AXG Orin 3D 파일\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\u003e8517180050\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e세부사항\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\u003e계정은 오후 3시 30분에 선반이 무너진 324번 통로에서의 비정상적인 사건에 대해 우려하고 있습니다.\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 애플리케이션이 신뢰도 점수로 차량을 감지합니다. 터미널은 성능 메트릭, FPS 및 시스템 로그를 표시합니다. Jetson AGX Orin 개발 키트가 실시간으로 비디오 스트림을 처리합니다.\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\u003eAI 도구 및 애플리케이션이 포함된 Jetson AGX Orin 개발 키트.\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 엣지 AI 컴퓨터 (NVIDIA Jetson Orin Nano 8GB, 67 TOPS, USB 3.2 4개, GbE 2개, JetPack 6.2)","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003e Super J3011은 NVIDIA Jetson Orin Nano 8GB 모듈을 기반으로 한 엣지 AI 컴퓨터입니다. MAXN Super 모드에서 최대 67 TOPS를 제공하며, -20℃에서 65℃의 환경에서 작동합니다. 빠른 개발 및 배포를 위해 설계되었으며, Wi‑Fi\/Bluetooth\/LTE 확장( M.2 Key E 및 mini‑PCIe를 통해)과 듀얼 기가비트 이더넷을 통합하고, 128GB NVMe SSD에 JetPack 6.2가 사전 설치되어 있습니다. 비디오 분석, 다중 모드 인식, 로봇 공학 및 기타 요구가 많은 엣지 AI 작업에 적합합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e슈퍼 부스트 AI 성능: 비전 AI, 로봇 공학 및 생성 AI를 위한 최대 67 TOPS (MAXN Super 모드).\u003c\/li\u003e\n\u003cli\u003e구성 가능한 전원 모드: 10W에서 25W (이미지 안내), 모듈 전력 프로파일 7W \/ 15W \/ 25W 사용 가능.\u003c\/li\u003e\n\u003cli\u003e강력한 온도 범위: -20°C에서 65°C까지 신뢰할 수 있는 작동.\u003c\/li\u003e\n\u003cli\u003e풍부한 인터페이스: 2x RJ45 GbE (1Gbps), SIM 카드 슬롯, 4× USB 3.2 Type‑A (5Gbps), 1× USB 2.0 Type‑C (장치\/디버그), 1× HDMI 2.1, 1× CAN (4‑핀), 4× MIPI CSI (2‑레인 15‑핀), M.2 키 E (Wi‑Fi\/BT), M.2 키 M (NVMe), 미니‑PCIe (LTE 4G), 4× 안테나 홀, 40‑핀 확장 헤더, 12‑핀 제어 \u0026amp; UART 헤더, RTC 소켓 및 2‑핀 헤더, 5V 및 12V PWM 팬 커넥터.\u003c\/li\u003e\n\u003cli\u003e배포 준비 완료: JetPack 6.2가 사전 설치되어 있으며 128GB NVMe SSD가 포함되어 있습니다; NVIDIA Isaac, Hugging Face 및 ROS2\/1을 지원합니다.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e응용 프로그램 프로세서 (AP)\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Orin™ Nano 8GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI 성능\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\u003e1024‑코어 NVIDIA Ampere 아키텍처 GPU, 32 텐서 코어 포함\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU 최대 주파수\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‑코어 Arm® Cortex®‑A78AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU 최대 주파수\u003c\/td\u003e\n\u003ctd\u003e1.7 GHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e8GB 128‑bit LPDDR5 (최대 68GB\/s; 102 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e모듈 전력 프로파일\u003c\/td\u003e\n\u003ctd\u003e7W - 15W - 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 인코딩\u003c\/td\u003e\n\u003ctd\u003e1‑2 CPU 코어로 지원되는 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 디코딩\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 카메라\u003c\/td\u003e\n\u003ctd\u003e최대 4대의 카메라 (가상 채널을 통해 8대***); 8‑lane MIPI CSI‑2; D‑PHY 2.1 (최대 20Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e모듈 기계적\u003c\/td\u003e\n\u003ctd\u003e69.6mm × 45mm; 260‑핀 SO‑DIMM 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e스토리지\u003c\/td\u003e\n\u003ctd\u003e1× M.2 Key M PCIe (M.2 NVMe 2280 SSD 128G 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워킹 확장\u003c\/td\u003e\n\u003ctd\u003e1× M.2 키 E (Wi‑Fi\/Bluetooth); 1× 미니‑PCIe (LTE 4G)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e이더넷\u003c\/td\u003e\n\u003ctd\u003e2× RJ45 기가비트 이더넷\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eI\/O – USB\u003c\/td\u003e\n\u003ctd\u003e4× USB 3.2 타입‑A (5Gbps); 1× USB 2.0 타입‑C (장치 모드\/디버그)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eI\/O – 카메라\u003c\/td\u003e\n\u003ctd\u003e4× MIPI CSI (2‑레인 15‑핀)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eI\/O – CAN\u003c\/td\u003e\n\u003ctd\u003e1× CAN (4‑핀 헤더)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e디스플레이\u003c\/td\u003e\n\u003ctd\u003e1× HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e팬\u003c\/td\u003e\n\u003ctd\u003e1× 4‑핀 1.25mm (5V PWM); 1× 4‑핀 2.54mm (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e연장\u003c\/td\u003e\n\u003ctd\u003e1× 40핀 확장 헤더; 1× 12핀 제어 및 UART 헤더\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1× RTC 2핀; 1× RTC 소켓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED\u003c\/td\u003e\n\u003ctd\u003e2× LED (PWR 및 ACT)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e버튼\/스위치\u003c\/td\u003e\n\u003ctd\u003e1× PWR; 1× RESET; 1× REC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e안테나\u003c\/td\u003e\n\u003ctd\u003e4× 안테나 홀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 입력\u003c\/td\u003e\n\u003ctd\u003e12‑19V 5525 배럴 DC 잭\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetPack 버전\u003c\/td\u003e\n\u003ctd\u003eJetPack 6.2 (사전 설치됨)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e시스템 치수 (W×D×H)\u003c\/td\u003e\n\u003ctd\u003e130mm × 120mm × 66mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무게\u003c\/td\u003e\n\u003ctd\u003e1110g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e설치\u003c\/td\u003e\n\u003ctd\u003e책상, 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e‑20℃~65℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e보증\u003c\/td\u003e\n\u003ctd\u003e2년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e인증\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 모듈 성능과 슈퍼 모드\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e향상된 전력 관리\u003c\/li\u003e\n\u003cli\u003e향상된 높은 프레임 속도 처리\u003c\/li\u003e\n\u003cli\u003e감소된 추론 시간\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e모듈 비교 (참조)\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\u003eAI 성능\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‑코어 앰페어 GPU, 16 텐서 코어\u003c\/td\u003e\n\u003ctd\u003e1024‑코어 앰페어 GPU, 32 텐서 코어\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU 최대 주파수\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‑코어 Arm® Cortex®‑A78AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU 최대 주파수\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1.7 GHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e4GB LPDDR5 64비트 (최대 34GB\/s; 51 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003ctd\u003e8GB LPDDR5 128비트 (최대 68GB\/s; 102 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전력 프로파일\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\u003e하드웨어 개요\u003c\/h2\u003e\u003ch3\u003e외부 I\/O (후면 패널)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eDIP 스위치 (REC)\u003c\/li\u003e\n\u003cli\u003eUSB Type‑C 2.0 (장치\/디버그)\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× 핀홀 버튼 (e.g., PWR\/RESET)\u003c\/li\u003e\n\u003cli\u003e2× LED 표시등 (ACT, PWR)\u003c\/li\u003e\n\u003cli\u003eSIM 카드 슬롯\u003c\/li\u003e\n\u003cli\u003e2× RJ45 이더넷 포트\u003c\/li\u003e\n\u003cli\u003e5525 배럴 DC 잭 (12‑19V)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e내부 커넥터\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e4핀 팬 커넥터 (5V PWM)\u003c\/li\u003e\n\u003cli\u003e4핀 팬 커넥터 (12V PWM)\u003c\/li\u003e\n\u003cli\u003e40핀 확장 헤더\u003c\/li\u003e\n\u003cli\u003eCAN 헤더\u003c\/li\u003e\n\u003cli\u003e12핀 제어 및 UART 헤더\u003c\/li\u003e\n\u003cli\u003e4× 15핀 MIPI CSI\u003c\/li\u003e\n\u003cli\u003eRTC 배터리 소켓 (CR1220) 및 RTC 2핀 헤더 (3V)\u003c\/li\u003e\n\u003cli\u003eM.2 키 E 슬롯; 미니-PCIe 슬롯; M.2 키 M 슬롯 (SSD 포함)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003e엣지 AI 컴퓨터\u003c\/a\u003e 비전 사용 Jetson 플랫폼 서비스 (e.g., BEV 감지 4 USB 카메라 사용)\u003c\/li\u003e\n\u003cli\u003e자율 이동 로봇(AMR), 스마트 리테일, 산업 자동화\u003c\/li\u003e\n\u003cli\u003e비디오 감시 및 스마트 비디오 분석\u003c\/li\u003e\n\u003cli\u003e빠른 시작 예제 프로젝트: 생성 AI(Ollama, Llama3), 컴퓨터 비전(YOLOv8) 등을 위한 원라인 배포 \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\" rel=\"noopener\" target=\"_blank\"\u003eJetson‑example\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e문서\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\"\u003e사용자 매뉴얼 \u0026및 데이터 시트\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\"\u003e온도 테스트 보고서\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\"\u003e회로도\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 파일\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\"\u003e기계 문서 – 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\"\u003e기계 문서 – 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 성공 사례\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 원페이지\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\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 내용\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson Orin™ NX 16GB\/NX 8GB \/ Nano 8GB \/ Nano 4GB 모듈 × 1 (구성에 따라 변형)\u003c\/li\u003e\n\u003cli\u003eSeeed 캐리어 보드 (reComputer Super J401) × 1\u003c\/li\u003e\n\u003cli\u003e128GB NVMe SSD × 1\u003c\/li\u003e\n\u003cli\u003e팬이 있는 알루미늄 케이스 및 히트싱크 × 1\u003c\/li\u003e\n\u003cli\u003eUSB 케이블; Type‑A to Type‑C × 1\u003c\/li\u003e\n\u003cli\u003e사용자 매뉴얼 × 1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e세부사항\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 8GB는 67 TOPS AI 성능을 제공합니다, 1.7배 빠르고, 10W–25W에서 전력 효율적이며, 오픈 소스 하드웨어, 넓은 온도 지원, 로봇 공학, 생성 AI 및 스마트 교통에 이상적입니다. \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 상업용 모듈은 슈퍼 모드에서 성능을 제공합니다. ORIN NANO는 512 CUDA 코어, 16 텐서 코어 및 918 MHz의 최대 주파수를 특징으로 합니다. GPU 성능은 희소 작업에 대해 최대 117 TOPS를 제공합니다. 밀집 INT8 작업의 경우 20 TOPS에 도달합니다. CPU 속도는 15 GHz에서 2.0 GHz까지 다양합니다. DLA 성능은 최대 167 VB에 도달합니다. 모듈은 34 GBIs 및 102 GBIg를 포함한 다양한 DRAM 대역폭 옵션을 가지고 있습니다. 크기는 70*45 mm이며 핀 수는 260개입니다. 모듈 전력 소비는 25w 또는 40w입니다.\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 카드 리더기, 4x Type A USB 3.2, SIM 카드 슬롯, Type C USB 2.0, 핀홀 버튼, RJ45 이더넷 포트, HDMI, LED 표시기, DC 잭.\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 모듈 확장 보드는 상단에 SV 및 I2C PWM 제어를 위한 4핀 팬 커넥터를 특징으로 합니다.\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 컴퓨터의 하단 뷰로, 40핀 확장 헤더, CAN 헤더, UART 헤더, MIPI CSI, RTC 배터리 소켓, M.2 키 E 및 M 슬롯, 미니 PCIe 슬롯, 전원 헤더 등 다양한 커넥터와 슬롯이 포함되어 있습니다.\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\u003e생태계 앱 \u0026및 서비스 참조: AI 워크플로우, 생성적 AI, NVR 기반 알림, Perceptor 조작기, AI 프레임워크. 클라우드 메트로폴리스, 아이작 홀로스캔, 참조 IoT 서버, 모바일 UI AI 스택, 제트슨 플랫폼 서비스. 50개 이상의 사전 훈련된 모델, VIT, LLM, DeepStream AI, DL 프레임워크, LLM 프레임워크, AI 분석, 인식 옴니버스, CUDA, CUDNN, CUDLA, TensorRT, Triton. 아이작 심, 제로샷 비전, 언어 감지, 추론 모델, 추론 매핑.\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\u003eAI 컴퓨터는 Llama3, ollama, LLaVA 및 Stable Diffusion Webui를 지원합니다.\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 엣지 AI 컴퓨터 (NVIDIA Jetson Orin Nano 8GB, 128GB SSD, USB 3.2 4개, HDMI 2.1, GbE, 슈퍼 모드 JP6.2)","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer J3011은 \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003e엣지 AI 컴퓨터\u003c\/a\u003e로, NVIDIA Jetson Orin Nano 8GB SoM을 기반으로 구축되었습니다. 128GB NVMe SSD에 JetPack 5.1.1(원본 JP5.1.3도 참조됨)이 사전 설치되어 있으며, 풍부한 I\/O를 제공합니다: 4x USB 3.2, HDMI 2.1, RJ-45 GbE, 2x CSI, CAN, 40핀 헤더를 통한 GPIO, RTC, Wi‑Fi\/Bluetooth용 M.2 Key E 및 SSD용 M.2 Key M. 컴팩트한 인클로저는 책상 및 벽 장착을 지원하며 -10℃에서 60℃까지 작동합니다.\u003c\/p\u003e\u003cp\u003eJetPack 6.2 “슈퍼 모드”로의 자동 업그레이드를 통해 AI 성능이 40 TOPS (INT8 Sparse)에서 67 TOPS (INT8 Sparse)로 증가하여 NVIDIA Jetson Orin Nano 슈퍼 개발 키트와 동등한 기능을 제공합니다. OTA 및 원격 관리 서비스는 Allxon 및 Balena의 지원을 받아 배포를 확장하는 데 도움을 줍니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003ch3\u003e성능\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA 앰페어 아키텍처 GPU: 1,024 CUDA 코어, 32 텐서 코어\u003c\/li\u003e\n\u003cli\u003eAI 성능: 40 INT8 TOPS (희소) \/ 20 INT8 TOPS (밀집); 슈퍼 모드: 67 TOPS (희소) \/ 33 TOPS (밀집)\u003c\/li\u003e\n\u003cli\u003eCPU: 6코어 Arm Cortex-A78AE v8.2 64비트\u003c\/li\u003e\n\u003cli\u003e메모리: 8GB 128비트 LPDDR5 (68 GB\/s); 슈퍼 모드 메모리 대역폭: 102 GB\/s\u003c\/li\u003e\n\u003cli\u003e모듈 전력: 7W | 15W (원본); 10W | 15W | 25W (슈퍼 모드)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e연결성 및 I\/O\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e4x USB 3.2 Type-A (10Gbps); 1x USB2.0 Type-C (장치 모드)\u003c\/li\u003e\n\u003cli\u003e1x HDMI 2.1 디스플레이 출력\u003c\/li\u003e\n\u003cli\u003e1x RJ-45 기가비트 이더넷 (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003e2x CSI 카메라 인터페이스 (2-레인, 15핀)\u003c\/li\u003e\n\u003cli\u003eM.2 키 E (사전 설치된 1x Wi‑Fi\/Bluetooth 콤보 모듈)\u003c\/li\u003e\n\u003cli\u003eM.2 Key M for NVMe SSD (128G 포함)\u003c\/li\u003e\n\u003cli\u003e1x CAN; 1x 40핀 확장 헤더; 1x 12핀 제어 \u0026앰프 및 UART 헤더\u003c\/li\u003e\n\u003cli\u003e1x RTC 2핀 (CR1220 지원, 배터리 미포함)\u003c\/li\u003e\n\u003cli\u003e1x 4핀 팬 커넥터 (5V PWM)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e기계적 및 전원\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e치수 (케이스 포함): 130mm x 120mm x 58.5mm\u003c\/li\u003e\n\u003cli\u003e전원 입력: 9–19V DC; 12V\/5A 전원 어댑터 포함\u003c\/li\u003e\n\u003cli\u003e설치: 책상 또는 벽 장착\u003c\/li\u003e\n\u003cli\u003e작동 온도: -10℃ ~ 60℃\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e비디오 기능\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e비디오 인코더: 1080p30, 1–2 CPU 코어 지원\u003c\/li\u003e\n\u003cli\u003e비디오 디코더: 1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e노트\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eJetPack 6.2로 업그레이드하여 슈퍼 모드를 활성화하고 AI 성능을 40 TOPS에서 67 TOPS로 향상시킵니다.\u003c\/li\u003e\u003cli\u003e추천 SSD: 128GB \/ 256GB \/ 512GB \/ 1TB, Seeed에서 제공; 일부 시장 SSD는 특정 JetPack 버전에서만 작동할 수 있습니다.\u003c\/li\u003e\n\u003cli\u003e전원 어댑터가 없는 버전 이용 가능: \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-J3011-w-o-power-adapter-p-5630.html\" rel=\"noopener\" target=\"_blank\"\u003e전원 어댑터가 없는 reComputer J3011\u003c\/a\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\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\u003e1,024코어 NVIDIA Ampere 아키텍처, 32 텐서 코어; 635 MHz (원본) \/ 1,020MHz (슈퍼 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6코어 Arm Cortex-A78AE v8.2 64비트; 1.5 GHz (원본) \/ 1.7 GHz (슈퍼 모드); 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB 128비트 LPDDR5; 68 GB\/s (원본) \/ 102 GB\/s (슈퍼 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI 성능\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e40 INT8 TOPS (희소), 20 INT8 TOPS (밀집); 슈퍼 모드: 67 TOPS (희소), 33 TOPS (밀집)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e모듈 전력\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7W | 15W (원본) \/ 10W | 15W | 25W (슈퍼 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key M PCIe (M.2 NVMe 2280 SSD 128G 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 기가비트 이더넷 (10\/100\/1000M); 1x M.2 Key E (사전 설치된 Wi‑Fi\/Bluetooth 모듈)\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 Type-A (10Gbps); 1x USB2.0 Type-C (장치 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e카메라\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2-레인, 15-핀)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e디스플레이\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\u003e팬\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4핀 팬 커넥터 (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\u003e확장\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40핀 확장 헤더; 1x 12핀 제어 \u0026앰프 및 UART 헤더\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 2핀 (CR1220 지원, 포함되지 않음)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원\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\u003e기계적\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130mm x 120mm x 58.5mm (케이스 포함); 책상 또는 벽 장착 가능\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 온도\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\u003e보증\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e하드웨어 개요\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 캐리어 보드\u003c\/a\u003e는 전체 시스템 reComputer J3011에 포함되어 있습니다.\u003c\/p\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ereComputer J3011 (시스템 설치됨) x1\u003c\/li\u003e\n\u003cli\u003e12V\/5A (배럴 잭 5.5\/2.5mm) 전원 어댑터 (전원 코드 포함되지 않음) x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003e참고:\u003c\/strong\u003e 이 제품에는 전원 어댑터가 포함되어 있지만 AC 클로버리프 전원 코드는 포함되어 있지 않습니다. 귀하의 지역에 적합한 코드를 구매해 주십시오: \u003ca href=\"https:\/\/www.seeedstudio.com\/AC-US-p-5122.html\" rel=\"noopener\" target=\"_blank\"\u003e미국\u003c\/a\u003e 또는 \u003ca href=\"https:\/\/www.seeedstudio.com\/AC-EU-p-5121.html\" rel=\"noopener\" target=\"_blank\"\u003e유럽\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAI 비디오 분석\u003c\/li\u003e\n\u003cli\u003e기계 비전\u003c\/li\u003e\n\u003cli\u003e자율 모바일 로봇 (AMR)\u003c\/li\u003e\n\u003cli\u003e생성적 AI\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e멀티 스트림 AI 비디오 분석\u003c\/h3\u003e\u003cp\u003eJetson Orin Nano는 NVIDIA 멀티 스탠다드 비디오 디코더를 통합합니다. \u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003ereComputer\u003c\/a\u003e J3011은 \u003cstrong\u003e13x1080p30\u003c\/strong\u003e 스트림을 처리할 수 있습니다. 테스트된 \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv8-DeepStream-TRT-Jetson\/#multistream-model-benchmarks\" rel=\"noopener\" target=\"_blank\"\u003eYOLOv8 성능을 NVIDIA DeepStream과 함께 확인하십시오.\u003c\/a\u003e\u003c\/p\u003e\u003ch3\u003e생성적 AI 및 컴퓨터 비전을 신속하게 배포\u003c\/h3\u003e\u003cp\u003eSeeed는 \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\" rel=\"noopener\" target=\"_blank\"\u003ejetson-examples\u003c\/a\u003e를 제공하여 Ollama, Llama3, LLaVA, YOLOv8 등 다양한 엣지 AI 프로젝트를 한 줄 명령으로 배포할 수 있습니다. 환경은 단일 명령 배포를 위해 미리 구성되어 있습니다.\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\u003e문서\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J301x-datasheet.pdf\" target=\"_blank\"\u003ereComputer J301x 데이터시트\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 장치 및 캐리어 보드 비교\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 회로도 설계 파일\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 파일\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e상세정보\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 (최대 67 TOPS), 컴팩트하고 전력 효율적인 오픈 소스 하드웨어. 로봇 공학, 생성 AI 및 컴퓨터 비전을 지원하며 넓은 온도 범위와 다수의 I\/O를 갖추고 있습니다.\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\u003e이 보드는 제어 및 UART CAN 헤더, 2핀 팬 헤더, MIPI-CSI 카메라를 특징으로 합니다. 또한 EVRO 커넥터와 GPIO, IZC, UART 기능을 위한 40핀 확장 헤더가 포함되어 있습니다. 이 보드는 USB3.2 포트, 기가비트 이더넷, LED 조명, HDMI 및 DC 전원 잭을 갖추고 있습니다.\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\u003e선반이 무너져 상자가 오후 3시 30분에 떨어져 통로를 막았습니다. 카메라 스트림이 표시되었습니다.\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 데스크탑에서 자동차 인식과 FPS, 평균 속도, 블록 생성 등의 성능 메트릭을 포함합니다.\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 엣지 AI는 Llama3, ollama, LLaVA, Stable Diffusion, Whisper를 지원합니다.\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 엣지 AI 컴퓨터 (NVIDIA Jetson Nano 4GB, 0.5 TOPS, 16G eMMC, M.2 Key M, USB3 4개, HDMI \u0026 DP)","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer J1020 v2는 \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003e엣지 AI 컴퓨터\u003c\/a\u003e로, NVIDIA Jetson Nano 4GB 생산 모듈을 기반으로 하여, 컴팩트하고 손에 쥘 수 있는 알루미늄 케이스에 수동 히트싱크를 장착하여 0.5 TOPS AI 성능을 제공합니다. NVIDIA JetPack 4.6가 사전 설치되어 있으며, 온보드 16G eMMc와 4x USB 3.0 Type‑A, 2x CSI 카메라 커넥터, HDMI, DP, RJ‑45 기가비트 이더넷, M.2 Key M, DC 잭 12V\/2A를 포함한 풍부한 I\/O 세트를 갖추고 있어 개발 준비가 완료되어 있습니다. 기계적 치수는 130mm x 120mm x 58.5mm (케이스 포함)입니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003ch3\u003e컴퓨팅 및 소프트웨어\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano 4GB 생산 모듈, 0.5 TOPS AI 성능.\u003c\/li\u003e\n\u003cli\u003e빠른 개발 및 배포를 위한 사전 설치된 NVIDIA JetPack 4.6; NVIDIA 임베디드 개발 도구 및 산업 AI 프레임워크를 지원합니다.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eI\/O 및 확장\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e4x USB 3.0 Type‑A; 1x 마이크로 USB 포트(장치 모드용).\u003c\/li\u003e\n\u003cli\u003e2x CSI (2-레인 15-핀) 카메라 커넥터.\u003c\/li\u003e\u003cli\u003e1x HDMI 타입-A; 1x DP.\u003c\/li\u003e\n\u003cli\u003eM.2 키 M SSD, LTE 및 블루투스를 위한; 온보드 RTC; Raspberry Pi GPIO 40핀; 12핀 제어 및 UART 헤더; 4핀 팬 커넥터 (5V PWM).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e기계 및 전원\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e패시브 쿨링이 있는 알루미늄 케이스.\u003c\/li\u003e\n\u003cli\u003e책상 또는 벽 장착.\u003c\/li\u003e\n\u003cli\u003eDC 잭 12V\/2A를 통한 전력 효율적인 작동.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e노트\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e공식 NVIDIA Jetson Nano 개발 키트는 EOL에 도달했습니다. reComputer J10 전체 시스템은 Jetson Nano 개발 키트에 대한 추천 대안입니다.\u003c\/li\u003e\n\u003cli\u003e특정 GPIO 라이브러리를 사용하면 플로팅 전압(1.2V~2V)이 발생할 수 있으며, 이는 캐리어 보드에서 GPIO 문제를 일으킬 수 있습니다. 이는 reComputer 시리즈 및 공식 \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e 개발 키트에서 일반적인 상황입니다; 이 문제에 대한 애프터 서비스\/보증은 적용되지 않습니다. 자세한 내용은 \u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/Jetson_Nano_Developer_Kit_40-Pin_Expansion_Header_GPIO_Usage_Considerations.pdf\" target=\"_blank\"\u003eNVIDIA 공식 문서\u003c\/a\u003e를 참조하십시오.\u003c\/li\u003e\u003cli\u003e전원 어댑터가 없는 버전은 \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-J1020-v2-w-o-power-adapter-p-5608.html\" target=\"_blank\"\u003e전원 어댑터가 없는 reComputer J1020 v2\u003c\/a\u003e를 참조하십시오.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI 성능\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 아키텍처, 128 CUDA 코어\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e쿼드 코어 ARM Cortex‑A57 MPCore 프로세서\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 GB 64비트 LPDDR4, 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 인코더\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K30 | 2x 1080p60 | 4x 1080p30 | 4x 720p60 | 9x 720p30 (H.265 \u0026및 H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 디코더\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 \u0026및 H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key M PCIe; 16G eMMc\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ‑45 기가비트 이더넷 (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 마이크로 USB 포트 (디바이스 모드용)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e카메라\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2‑lane 15‑pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e디스플레이\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\u003e팬\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4‑핀 팬 커넥터 (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e확장\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40‑핀 확장 헤더; 1x 12‑핀 제어 및 UART 헤더; RTC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC 잭 12V\/2A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e치수 (W x D x H)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130mm x 120mm x 58.5mm (케이스 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e설치\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e책상, 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 온도\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0℃ ~ 60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e사전 설치된 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\u003e포함된 내용\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003ereComputer\u003c\/a\u003e J1020 v2 (시스템 설치됨) x1\u003c\/li\u003e\n\u003cli\u003e12V\/2A 전원 어댑터 (5개의 교체 가능한 어댑터 플러그 포함) x1\u003c\/li\u003e\n\u003cli\u003e*3V RTC 배터리는 포함되지 않습니다.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e컴퓨터 비전\u003c\/li\u003e\n\u003cli\u003e기계 학습\u003c\/li\u003e\n\u003cli\u003e자율 이동 로봇 (AMR)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e매뉴얼\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\"\u003e데이터시트\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\"\u003e회로도\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 파일\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 제품 카탈로그\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 비교\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 제품 비교\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 성공 사례\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 원페이지\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e세부사항\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 4GB가 reComputer J1020 v2를 0으로 구동합니다.5 TOPS AI 성능을 제공하며 Jetson Nano B01 개발 키트의 컴팩트한 대안을 제공합니다. 크기는 130mm x 120mm x 58.5mm(케이스 포함)이며, 1x HDMI, 1x DisplayPort, 4x USB 3.0 Type-A, 1x Micro-USB(장치 모드용)를 갖추고 있습니다. SSD를 위한 M.2 KEY M 슬롯, DC 잭(12V\/2A)을 포함하고 있으며 JetPack 4.6을 지원합니다. 로봇 공학, 컴퓨터 비전 및 AI 기반 애플리케이션에 이상적이며, 사용 준비가 완료된 디자인으로 강력하고 공간 효율적인 컴퓨팅을 제공합니다.\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\u003e제품 특징: 제어 및 UART CAN(비활성화), RTC용 헤더, 2핀 팬 헤더, MIPI-CSI 카메라 커넥터, 두 개의 ooco 커넥터, GPIO, I2C 및 UART가 포함된 Quinno 40핀 확장 헤더, seeedstudio 오디오 모듈, 260핀 SODIMM 슬롯, USB3.0 포트(4x), POE 기가비트 이더넷 포트, DisplayPort, HDMI, LED 표시등, DC 전원 잭 및 USB Type-C 포트.\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\u003eM.2 KEY E(비활성화), M.2 KEY M, RTC 소켓 및 다양한 커넥터가 있는 Jetson Nano AI 컴퓨터; 레이블이 붙은 구성 요소에는 전원 입력, USB 포트 및 GPIO 핀이 포함됩니다.\u003c\/p\u003eI'm sorry, but it seems that the text you provided consists of HTML tags or codes 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 엣지 AI 컴퓨터 (NVIDIA Jetson Nano 4GB, 0.5 TOPS, HDMI, USB, 2x CSI, M.2 Key E, GbE)","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer J1010은 \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003e엣지 AI 컴퓨터\u003c\/a\u003e로, NVIDIA Jetson Nano 4GB 생산 모듈을 기반으로 구축되었습니다. 손바닥 크기의 시스템은 0.5 TOPS AI 성능을 제공하며, 패시브 히트싱크가 장착된 알루미늄 케이스, 사전 구축된 JetPack 4.6, 온보드 16 GB eMMC, 2x CSI 카메라 포트, 1x USB 3.0, 2x USB 2.0, M.2 Key E, HDMI, 기가비트 이더넷, USB Type‑C 전원 입력(5V⎓3A) 등 풍부한 I\/O를 갖추고 있습니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano 4GB 생산 모듈을 통한 엣지 추론.\u003c\/li\u003e\n\u003cli\u003eAI 성능: 0.5 TOPS.\u003c\/li\u003e\n\u003cli\u003eGPU: 128개의 NVIDIA CUDA 코어를 갖춘 NVIDIA Maxwell 아키텍처.\u003c\/li\u003e\n\u003cli\u003eCPU: 쿼드코어 ARM Cortex-A57 MPCore.\u003c\/li\u003e\n\u003cli\u003e메모리: 4 GB 64비트 LPDDR4, 25.6 GB\/s; 온보드 16 GB eMMC.\u003c\/li\u003e\n\u003cli\u003e사전 구축된 JetPack 4.6.\u003c\/li\u003e\n\u003cli\u003eI\/O: 1x USB 3.0 Type A; 2x USB 2.0 Type A; 1x USB Type C (장치 모드); 1x USB Type C 5V 전원 입력용.\u003c\/li\u003e\n\u003cli\u003e카메라: 2x CSI.\u003c\/li\u003e\n\u003cli\u003e디스플레이: 1x HDMI Type A.\u003c\/li\u003e\u003cli\u003e네트워킹: 1x RJ-45 기가비트 이더넷 (10\/100\/1000M).\u003c\/li\u003e\n\u003cli\u003e확장: 1x M.2 키 E WiFi\/Bluetooth 모듈용; 1x 40핀 확장 헤더; 1x 12핀 제어 및 UART 헤더.\u003c\/li\u003e\n\u003cli\u003e냉각\/제어: 1x 4핀 팬 커넥터 (5V PWM).\u003c\/li\u003e\n\u003cli\u003e기계적: 130 mm x 120 mm x 58.5 mm (케이스 포함); 책상 또는 벽 장착; 작동 온도: 0℃ ~ 60℃.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e노트\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e공식 \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Nano 개발 키트는 EOL에 도달했습니다. reComputer J10 전체 시스템이 추천 대체품입니다.\u003c\/li\u003e\n\u003cli\u003e특정 GPIO 라이브러리를 사용하면 부동 전압(1.2V~2V)이 발생할 수 있습니다. 정상 GPIO 전압은 3V여야 하므로, 캐리어 보드(재컴퓨터 및 NVIDIA 개발 키트 포함)에 대한 문제는 애프터세일즈\/보증의 적용을 받지 않습니다. 자세한 내용은 \u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/Jetson_Nano_Developer_Kit_40-Pin_Expansion_Header_GPIO_Usage_Considerations.pdf\" target=\"_blank\"\u003eNVIDIA 공식 문서\u003c\/a\u003e를 참조하십시오.\u003c\/li\u003ehtml\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eJetson Nano 4GB 시스템 모듈\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI 성능\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 아키텍처, 128 NVIDIA CUDA 코어 탑재\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e쿼드코어 ARM Cortex-A57 MPCore 프로세서\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 GB 64비트 LPDDR4, 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e온보드 스토리지\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\u003e비디오 인코더\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 \u0026및 H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 디코더\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 \u0026및 H.\n264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003e캐리어 보드\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x TF 카드\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 기가비트 이더넷 (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 KEY E\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key E for WiFi\/Bluetooth 모듈\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 타입 A; 2x USB 2.0 타입 A; 1x USB 타입 C (장치 모드용); 1x USB 타입 C (5V 전원 입력용)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e카메라\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e디스플레이\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 타입 A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e팬\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4핀 팬 커넥터 (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e다기능 포트\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40핀 확장 헤더; 1x 12핀 제어 및 UART 헤더\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUSB 타입 C 5V⎓3A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e치수 (W x D x H)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130 mm x 120 mm x 58.5 mm (케이스 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e설치\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e책상, 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 온도\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\u003e하드웨어 개요\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 캐리어 보드\u003c\/strong\u003e\u003c\/a\u003e, 전체 시스템 - reComputer J1010에 포함되어 있습니다.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e컴퓨터 비전\u003c\/li\u003e\n\u003cli\u003e기계 학습\u003c\/li\u003e\n\u003cli\u003e자율 이동 로봇 (AMR)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e문서\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\"\u003e데이터시트\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\"\u003e회로도\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 파일\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 제품 카탈로그\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 비교\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 제품 비교\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 성공 사례\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 원페이지\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\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471419000\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\u003ctr\u003e\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ereComputer J1010 (시스템 설치됨)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e참고: 전원 공급 장치 및 RTC (CR1220)는 포함되어 있지 않습니다.필요에 따라 추가해 주세요.\u003c\/td\u003e\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e상세정보\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\u003e엘리트 파트너 NVIDIA reComputer U. NVIDIA Jetson Nano는 로봇 공학 및 컴퓨터 비전 애플리케이션을 위해 설계된 고성능 컴퓨터입니다. 4GB의 AI 성능 메모리를 갖춘 0.5 TOPS Nano 프로세서를 특징으로 하여 복잡한 AI 모델을 처리하는 데 이상적입니다. 이 키트에는 JetPack 4.6 보드, Ix USB 3.0 Type A 커넥터, M.2 KEY E, 2개의 USB 2.0 Type A 커넥터 및 Wi-Fi 기능이 포함되어 있습니다.\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\u003e컴팩트하고 기능이 풍부한 J1010 엣지 AI 컴퓨터는 듀얼 CSI 카메라 인터페이스, 48MHz CLK가 있는 마이크로 SD 카드 슬롯 및 M.2 Key E 슬롯을 제공합니다. 260핀 SO-DIMM, 40핀 및 RTC 2핀 커넥터를 지원합니다. 연결성에는 Type C 전원, HDMI, USB 3.0 Type A, 두 개의 USB 2.0 Type A 포트, 기가비트 이더넷 및 USB 2.0 전용 Type C 포트가 포함됩니다. 팬 헤더, 버튼 헤더 및 Seeed Studio 브랜드가 장착되어 있어 소형 폼 팩터에서 효율적인 엣지 컴퓨팅을 위해 설계되었습니다.AI 애플리케이션에 적합하며, 제한된 공간에서 신뢰할 수 있는 성능과 다양한 I\/O 옵션을 제공합니다.\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 엣지 AI 컴퓨터, NVIDIA Jetson Orin NX 8GB, 128GB NVMe, USB3.2, HDMI, GbE (슈퍼 모드 미지원)","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer J4011B는 \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003e엣지 AI 컴퓨터\u003c\/a\u003e로, \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin NX 8GB 모듈을 기반으로 구축되었습니다. 이 제품은 개발 및 배포를 위한 풍부한 I\/O와 함께 컴팩트한 크기를 결합하여, 2x USB 3.2, HDMI, 기가비트 이더넷, Wi-Fi 모듈용 M.2 Key E, SSD용 M.2 Key M, LTE 모듈용 미니 PCIe, CAN, 40핀 헤더를 포함합니다. 128GB NVMe SSD와 JetPack 5.1.3 (Linux OS BSP 준비)가 사전 설치되어 있습니다. 참고: 슈퍼 모드는 지원되지 않습니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e강력한 임베디드 AI 플랫폼 구축: Jetson Orin NX 모듈과 호환되며 최대 100 TOPS를 제공합니다.\u003c\/li\u003e\n\u003cli\u003e광범위한 I\/O를 갖춘 개발 및 생산을 위해 설계됨: 2x USB 3.2, HDMI, 이더넷, M.2 Key M, M.2 Key E, 미니 PCIe, 40핀 GPIO 및 CAN.\u003c\/li\u003e\n\u003cli\u003eWi-Fi 및 LTE를 포함한 여러 유선 및 무선 통신을 지원합니다 (모듈은 추가 구매 필요).\u003c\/li\u003e\n\u003cli\u003e즉시 시장 출시를 위한 사전 설치된 JetPack 5.1.3, Linux OS BSP 준비 완료.\u003c\/li\u003e\u003cli\u003e준수: RoHS, CE, FCC, KC, UKCA, REACH; 생산 수명은 최소 2032년까지입니다.\u003c\/li\u003e\n\u003cli\u003e하드웨어 다이어그램에서: 2x MIPI‑CSI (2‑lane 15‑pin) 카메라 커넥터, 제어 \u0026앰프; UART 헤더, 팬 헤더 (5V PWM), 40‑핀 확장 헤더 (GPIO\/I2C\/UART), 260‑핀 SODIMM, USB Type‑C (장치 모드), 전원 LED, DC 9–19V 5525 잭, SIM 카드 슬롯 (LTE용), 및 선택적 PoE 백파워 헤더.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e제품 시리즈\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ereComputer J4011B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e모듈\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\u003eAI 성능\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\u003e1024코어 NVIDIA Ampere 아키텍처 GPU, 16 텐서 코어 포함\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU 최대 주파수\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\u003e6코어 Arm® Cortex®-A78AE v8.2 64비트 CPU; 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1x USB2.0 타입-C (디바이스 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 키 M\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 M for SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 키 E\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key E for Wi‑Fi 모듈*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e미니-PCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 미니-PCIe LTE 모듈*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e팬\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x JST 4핀 팬 커넥터 (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\u003e다기능 포트\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40핀 확장 헤더; 1x 12핀 제어 및 UART 헤더\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRTC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRTC 2핀; RTC 소켓 (CR1220* 지원)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원 공급\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC 9-19V 5525 DC 잭을 통해\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003e표준\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e인증\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\u003e주변 조건\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 온도\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-10~60 °C\u003c\/td\u003e\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003e기타\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e치수\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130mm x 120mm x 58.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e무게\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e451.9g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e보증\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e생산 수명\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2032년까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e성명서\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e*로 표시된 옵션은 추가 구매가 필요합니다.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e하드웨어 개요\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\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e스마트 가로등:\u003c\/strong\u003e 센서로 교통을 모니터링하고 데이터를 전송하여 더 나은 교통 관리를 합니다. 태양광을 통합하고, 야간 사용을 위해 에너지를 저장하며, 잉여 전력을 그리드에 공급할 수 있습니다.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e전기차 배터리 교환\/충전 시스템:\u003c\/strong\u003e 스마트 그리드에 연결된 충전소는 충전 시간을 최적화하며, 배터리 교환은 전기차의 주행 거리 불안을 해소합니다.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003e스마트 재활용 센터:\u003c\/strong\u003e 쓰레기통의 센서가 폐기물 수거 trips를 줄이고; 장비는 비혼잡 시간대에 작동하며; 재활용된 자재는 스마트 그리드 및 전기차 부품에 사용될 수 있습니다.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e문서\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer_J401B_datasheet_v1.pdf\" target=\"_blank\"\u003e데이터시트\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\"\u003e캐리어 보드 회로도\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 보드 회로도\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 제품 카탈로그\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 제품 비교\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 성공 사례\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 원페이지\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e부품 목록\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Jetson Orin™ 모듈\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed 캐리어 보드 (\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\u003e팬이 있는 알루미늄 히트싱크\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e알루미늄 케이스 (검정색)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 어댑터（12V\/5A）\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e상세정보\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\u003e제어 및 UART 헤더, M.2 키 E, CAN 헤더, RTC 2핀 소켓, GPIO, I2C 및 UART가 포함된 팬 헤더 LO핀 확장 헤더. MIPI-CSI 카메라 커넥터(2x), 260핀 SODIMM, M.2 키 M. 선택적 PoE 백파워 헤더, 전원 LED, DC 전원 잭, USB 타입-C, HDMI 및 USB 3.2 포트(2x). SIM 카드 슬롯, LTE 모듈용 미니-PCIE 및 기가비트 이더넷 포트.\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\u003e카메라, 센서 및 LED 디스플레이가 있는 스마트 가로등\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 엣지 AI 컴퓨터, NVIDIA Jetson Orin Nano 8GB, 128GB NVMe, HDMI 2.1, USB 3.2, GbE, M.2, mini-PCIe","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer J3011B는 \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003e엣지 AI 컴퓨터\u003c\/a\u003e로, \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin Nano 8GB 모듈을 기반으로 합니다. 이는 reComputer J401B 시리즈(재컴퓨터 클래식 시리즈의 반복 버전)에 속하며, 2x USB 3.2, HDMI, 기가비트 이더넷, Wi‑Fi 모듈용 M.2 Key E*, SSD용 M.2 Key M, LTE 모듈용 미니 PCIe*, CAN, 40핀 확장 포트 등 다양한 인터페이스를 갖춘 컴팩트하고 생산 준비가 완료된 엣지 AI를 제공합니다. 사전 설치된 128GB NVMe SSD, 알루미늄 케이스 및 액티브 쿨링이 포함되어 있습니다. 참고: Wi‑Fi 및 LTE 모듈은 추가 구매가 필요합니다.\u003c\/p\u003e\u003cp\u003eJetson Orin Nano와 호환되며, 최대 67 TOPS를 제공(운영 체제 업그레이드는 사용자 본인이 수행해야 함)하고, 슈퍼 모드에서 25W를 소비합니다. 이 장치는 JetPack 5.1.3 및 Linux OS BSP가 준비된 상태로 배송되며, JetPack 6.2를 지원합니다. 인증에는 RoHS, CE, FCC, KC, UKCA 및 REACH가 포함됩니다. 생산 수명은 최소 2032년까지입니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson Orin Nano에서 임베디드 AI 플랫폼 구축; 최대 67 TOPS (OS 업그레이드는 사용자 본인이 수행해야 함); 슈퍼 모드에서 25W.\u003c\/li\u003e\n\u003cli\u003e광범위한 I\/O와 함께 개발 및 배포를 위해 설계됨: 2x USB 3.2, HDMI, 이더넷, M.2 키 M, M.2 키 E, 미니 PCIe, 40핀 GPIO.\u003c\/li\u003e\n\u003cli\u003eWi-Fi 및 LTE를 포함한 여러 유선 및 무선 통신 지원 (모듈은 별매).\u003c\/li\u003e\n\u003cli\u003e사전 설치된 JetPack 5.1.3, Linux OS BSP 준비 완료; JetPack 6.2 지원.\u003c\/li\u003e\n\u003cli\u003e준수: RoHS, CE, FCC, KC, UKCA, REACH.\u003c\/li\u003e\n\u003cli\u003e최소 2032년까지 생산 수명 동안 장기 가용성.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e하드웨어 개요\u003c\/h2\u003e\u003cp\u003e캐리어 보드는 하드웨어 개요 다이어그램에 레이블이 붙은 커넥터를 제공합니다: 제어 및 UART 헤더, MIPI-CSI 카메라 커넥터 (2x), M.2 키 M 및 M.2개의 E 슬롯, RTC 2핀 및 RTC 소켓, CAN 헤더, 팬 헤더, 40핀 확장 헤더 (GPIO\/I2C\/UART), USB Type-C (디바이스 모드), USB 3.2 포트 (2개), HDMI, DC 전원 잭, 기가비트 이더넷 포트, 전원 LED, LTE 모듈을 위한 미니 PCIe 슬롯. 다이어그램에는 LTE 사용을 위한 SIM 카드 슬롯과 선택적 PoE 백파워 헤더도 표시되어 있습니다.\u003c\/p\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e제품 시리즈\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ereComputer J3011B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e모듈\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 성능\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e40 TOPS; 슈퍼 모드에서 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\u003e1024코어 NVIDIA 앰페어 아키텍처 GPU, 16 텐서 코어 포함\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU 최대 주파수\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\u003e6코어 Arm® Cortex®-A78AE v8.2 64비트 CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU 최대 주파수\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\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB 128비트 LPDDR5; 68 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e사전 설치된 128GB NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 인코더\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1–2 CPU 코어로 지원되는 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 디코더\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\u003e디스플레이\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-레인 15핀)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 기가비트 이더넷 (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 (장치 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 키 M\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSSD용 M.2 키 M 1개\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 키 E\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1개 M.2 Key E for Wi‑Fi 모듈*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e미니‑PCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 미니‑PCIe LTE 모듈*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e팬\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x JST 4핀 팬 커넥터 (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\u003e다기능 포트\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40‑핀 확장 헤더; 1x 12‑핀 제어 및 UART 헤더\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‑핀; RTC 소켓 (CR1220* 지원)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원 공급\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC 9–19V 5525 DC 잭을 통해\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e인증\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\u003e작동 온도\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\u003e치수\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130mm x 120mm x 58.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e무게\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e451.9g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e보증\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e생산 수명\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2032년까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e진술\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e*로 표시된 옵션은 추가 구매가 필요합니다.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Jetson Orin™ 모듈\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed 캐리어 보드 (\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\u003e팬이 있는 알루미늄 히트싱크\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e알루미늄 케이스 (검정색)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 어댑터 (12V\/5A)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003e참고: Wi‑Fi 및 LTE 모듈은 추가 구매가 필요하며, 패키지에 포함되어 있지 않습니다.\u003c\/p\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e스마트 가로등: 더 나은 교통 관리를 위한 교통 모니터링 및 데이터 전송.\u003c\/li\u003e\n\u003cli\u003e전기차 배터리 교환\/충전 시스템: 충전 시간을 최적화하는 스마트 그리드 연결 스테이션.\u003c\/li\u003e\n\u003cli\u003e스마트 재활용 센터: 수집 횟수를 줄이고 효율적인 운영을 가능하게 하는 센서 지원 쓰레기통.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e문서\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer_J401B_datasheet_v1.pdf\" target=\"_blank\"\u003e데이터 시트\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\"\u003e캐리어 보드 회로도\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 보드 회로도\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 제품 카탈로그\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 제품 비교\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 성공 사례\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 원페이지\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\u003e중국\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\u003e세부사항\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 엣지 AI 컴퓨터는 M.2 슬롯, USB 3.2, HDMI, 기가비트 이더넷, SIM 슬롯, LTE용 미니-PCIe, GPIO, UART, CAN, 확장 헤더, RTC, 카메라 커넥터, DC 잭, 및 PoE 지원.\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\u003eAI 카메라, 센서 및 LED 디스플레이가 있는 스마트 가로등\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 엣지 AI 컴퓨터 (NVIDIA Jetson Orin Nano 8GB, 최대 40 TOPS, PCIe, 63mm x 95mm x 42mm)","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer Mini J3011은 \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003e엣지 AI 컴퓨터\u003c\/a\u003e로, NVIDIA Jetson Orin Nano 8GB 모듈을 기반으로 하여 최대 40 TOPS의 AI 성능을 제공합니다. 이 컴팩트한 시스템(63mm x 95mm x 42mm)은 Mini J401 캐리어 보드, 냉각 팬 및 인클로저를 통합하고 있으며, 유연한 확장을 위한 하단 PCIe 인터페이스를 특징으로 합니다. 드론, 순찰 로봇 및 배달 로봇과 같은 자율 기계에 내장 사용을 위해 설계되었으며, 배터리 전원 배치를 위한 XT30 커넥터를 통해 12–54V DC 입력을 지원합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e탁월한 AI 성능: NVIDIA Orin Nano(Ampere GPU + 6코어 Arm CPU)에서 낮은 전력과 지연으로 최대 40 TOPS를 제공하며, 고급 비디오\/이미지 처리 및 NVIDIA 딥 러닝 가속기를 지원합니다.\u003c\/li\u003e\n\u003cli\u003e손바닥 크기 디자인: 63mm x 95mm x 42mm; \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin Nano 8GB 모듈, Mini J401 캐리어 보드, 팬 및 인클로저 포함; 데스크탑 및 벽 장착 지원.\u003c\/li\u003e\u003cli\u003e확장 가능한 I\/O: 최대 4 x USB, DP 1.4, M.2 Key E, M.2 Key M. 4 x USB 3.0, 이중 CAN, RJ‑45 GbE를 포함한 더 많은 옵션은 \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-Mini-J3011-with-Extension-p-6354.html\" target=\"_blank\"\u003ereComputer J3011 확장\u003c\/a\u003e에서 사용할 수 있습니다.\u003c\/li\u003e\n\u003cli\u003e생산 가속화: Linux BSP가 설치된 128GB NVMe SSD에 사전 설치된 JetPack 6.0; Jetson 소프트웨어 및 주요 AI 프레임워크를 지원합니다.\u003c\/li\u003e\n\u003cli\u003e배포 확장: Allxon 및 Balena에서 지원하는 OTA 및 원격 관리 서비스.\u003c\/li\u003e\n\u003cli\u003e유연한 맞춤화: J3011 디자인을 기반으로 한 액세서리 모듈, 로고 및 하드웨어 인터페이스 수정 옵션.\u003ca href=\"https:\/\/www.seeedstudio.com\/odm.html\" target=\"_blank\"\u003eSeeed ODM\u003c\/a\u003e를 참조하십시오.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ch3\u003eJetson Orin 시스템 모듈\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI 성능\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\u003e32개의 텐서 코어가 있는 1024코어 NVIDIA 앰페어 아키텍처 GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6코어 Arm Cortex‑A78AE (Orin Nano 8GB); 8코어 Arm Cortex‑A78AE v8.2 64비트 (Orin NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e8GB 128비트 LPDDR5 (Orin Nano 8GB); 16GB 128비트 LPDDR5 (Orin NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 인코딩\u003c\/td\u003e\n\u003ctd\u003eOrin Nano 8GB: 1–2 CPU 코어로 지원되는 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\u003e비디오 디코딩\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 가속기\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\u003e캐리어 보드\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e저장소\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key M PCIe (M.2 NVMe 2242 SSD 128G 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워킹\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key E WiFi\/Bluetooth 모듈용\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eI\/O – USB\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.2 Type‑A (10Gbps); 1x USB 2.0 Micro‑B (장치 모드); 1x USB 3.2 Type‑C (호스트 모드); 1x USB 2.0 JST‑5핀 (호스트 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eI\/O – UART\u003c\/td\u003e\n\u003ctd\u003e1x UART; 1x 디버그 UART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e디스플레이\u003c\/td\u003e\n\u003ctd\u003e1x DP 1.4 (Type‑C 커넥터에 포함됨)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e팬\u003c\/td\u003e\n\u003ctd\u003e1x 4‑핀 팬 커넥터 (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e버튼\u003c\/td\u003e\n\u003ctd\u003e1x 리셋; 1x 복구\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e확장 포트\u003c\/td\u003e\n\u003ctd\u003e2x 60‑핀 고속 커넥터 (확장 보드용); 1x 10‑핀 전원 커넥터 (확장 보드용)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2‑핀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 입력\u003c\/td\u003e\n\u003ctd\u003e1x XT30 커넥터 (12–54V DC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003e기계적 \u0026및 환경적\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e치수 (W x D x H)\u003c\/td\u003e\n\u003ctd\u003e63mm x 95mm x 42mm (확장 없이)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무게\u003c\/td\u003e\n\u003ctd\u003e345g (확장 없이)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e설치\u003c\/td\u003e\n\u003ctd\u003e책상, 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e-10℃ ~ 50℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003e보증\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd\u003e보증\u003c\/td\u003e\n\u003ctd\u003e1년\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e하드웨어 개요\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\u003e데스크탑, 벽걸이, 확장 가능, 또는 어디에나 적합\u003c\/h3\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003ch3\u003e로봇 제어\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\u003e엣지에서 생성적 AI를 구현할 수 있는 능력\u003c\/strong\u003e — LLaVA와 같은 비전-언어 모델을 사용하여 비디오에서 자연어를 사용하여 요약, 검색 및 통찰력을 추출하는 AI 에이전트를 구축합니다.\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\u003e다중 스트림 AI 비디오 분석 구축\u003c\/strong\u003e — Jetson 비디오 디코더는 SD에서 UltraHD로의 재생을 가속화합니다. \u003ca href=\"https:\/\/rcdrone.top\/collections\/recomputer\" title=\"reComputer\"\u003ereComputer\u003c\/a\u003e J4012는 18x1080p30 스트림을 처리할 수 있습니다. \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv8-DeepStream-TRT-Jetson\/#multistream-model-benchmarks\" target=\"_blank\"\u003eDeepStream에서 YOLOv8 성능 보기\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\u003e생성 AI 및 컴퓨터 비전 모델을 배포하는 가장 빠른 방법\u003c\/strong\u003e — 준비된 \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\" target=\"_blank\"\u003ejetson-example\u003c\/a\u003e 리포를 사용하여 Ollama, Llama3, YOLOv8 등을 한 줄로 배포할 수 있습니다.\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 Mini는 Llama3, ollama, LLaVA, Stable Diffusion, Nanoowl 및 Whisper를 지원합니다.\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\u003e문서\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\"\u003e데이터시트\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\"\u003e회로도\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 파일\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 제품 카탈로그\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 비교\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 제품 비교\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 성공 사례\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 원페이지\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 내용\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ereComputer Mini J3011 x1\u003c\/li\u003e\n\u003cli\u003e안테나 x2\u003c\/li\u003e\u003cli\u003ext30 to DC 전원 커넥터 x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e상세정보\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\u003e엘리트 파트너 NVIDIA reComputer Mini J30I.Jetson Orin으로 구동되며 40 TOPS Nano와 8GB 메모리를 갖춘 이 장치는 63*95*42mm (확장 시 66.7mm) 크기의 컴팩트한 패키지에서 높은 성능을 제공합니다. 작동 온도 범위: -10°C에서 50°C. 연결 기능으로는 USB 2.0 Micro-B, Wi-Fi, Bluetooth, 두 개의 USB 3.2 포트가 포함됩니다. 전원 공급은 선택 사항입니다. 추가 인터페이스로는 RJ-45 GbE, 듀얼 CAN, 네 개의 USB 3.0 Type-A 포트가 있습니다.\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\u003e컴팩트하고 강력한 J40 Mini Edge AI 컴퓨터는 광범위한 연결성을 제공합니다. 측면 포트에는 USB 2.0 Micro-B (장치 모드), HOST+DP, RESET, RECOVERY가 포함됩니다. 전면에는 POWER IN (9–60V), USB 2.0, UART1, UART DEBUG가 있습니다. 후면 인터페이스는 2x USB 3.2 Type-A, 4x USB 3.0 Type-A (5 Gbps), 이더넷, SPI, CAN0+전원, IIC1, IIC0, Can1을 제공합니다. 효율적인 성능을 위해 설계되었으며, 열 관리를 위한 냉각 핀을 포함하고 있습니다. 엣지 컴퓨팅에 적합하며, 컴팩트한 폼 팩터에서 다양한 산업 응용 프로그램을 지원하는 견고한 레이아웃을 갖추고 있습니다.\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\u003e선반이 오후 3시 30분에 무너져 상자가 떨어지고 통로를 막았습니다; 사건이 카메라에 포착되었습니다.\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 자동차 제품의 성능은 0.73 FPS 및 0.79 평균입니다.\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 등과 함께하는 엣지 AI 장치입니다.\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 with Extension – NVIDIA Jetson Orin NX 16GB, 100 TOPS, 12–54V DC, 듀얼 CAN 탑재 엣지 AI 컴퓨터","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer Mini J4012 with Extension은 \u003ca href=\"https:\/\/rcdrone.top\/collections\/edge-ai-computers\" title=\"Edge AI Computer\"\u003e엣지 AI 컴퓨터\u003c\/a\u003e로, \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Orin NX 16GB 모듈을 기반으로 하여 최대 100 TOPS AI 성능을 제공합니다. 이 컴팩트 시스템은 하단에 PCIe 확장 인터페이스를 통합하여 최대 8개의 USB 포트와 이중 CAN을 포함한 풍부한 I\/O를 가능하게 하며, 유연한 맞춤화 옵션을 제공합니다. 자율 기계(드론, 순찰 로봇, 배달 로봇)에 내장하도록 설계되었으며, XT30 커넥터를 통해 12–54V DC 입력을 지원하여 배터리 전원 배치에 적합합니다.\u003c\/p\u003e\u003cp\u003e이 장치는 확장 포함 시 63mm x 95mm x 66.7mm(확장 없이 63mm x 95mm x 42mm) 크기를 가지며, 데스크탑 또는 벽 장착을 지원합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e최대 100 TOPS AI 성능을 제공하며, NVIDIA Orin SoC와 NVIDIA Ampere 아키텍처 GPU, NVIDIA 딥 러닝 가속기 및 고급 비디오\/이미지 처리를 지원합니다.\u003c\/li\u003e\u003cli\u003e제트슨 오린 NX 16GB: 1024코어 NVIDIA 앰페어 아키텍처 GPU와 32개의 텐서 코어; 8코어 Arm Cortex-A78AE v8.2 64비트 CPU; 16GB 128비트 LPDDR5.\u003c\/li\u003e\n\u003cli\u003e손바닥 크기 디자인: 63mm x 95mm x 66.7mm (확장 포함) \/ 63mm x 95mm x 42mm (확장 제외); 데스크탑 및 벽 장착 지원.\u003c\/li\u003e\n\u003cli\u003e풍부한 확장성: 최대 8x USB, DP 1.4 (Type-C를 통해), 1x RJ-45 GbE, M.2 키 E, M.2 키 M, 듀얼 채널 CAN, GPIO.\u003c\/li\u003e\n\u003cli\u003e128GB NVMe SSD에 사전 설치된 JetPack 6.0; 리눅스 OS BSP; Jetson 소프트웨어 및 주요 AI 프레임워크 지원.\u003c\/li\u003e\n\u003cli\u003e확장 가능한 배포: Allxon 및 Balena를 통한 OTA 및 원격 관리 서비스.\u003c\/li\u003e\n\u003cli\u003e전원 입력: XT30 커넥터, 12–54V DC.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eJetson Orin 모듈 시스템\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI 성능\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e확장 기능이 있는 reComputer Mini J4012 - 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\u003e32개의 텐서 코어를 갖춘 1024코어 NVIDIA 앰페어 아키텍처 GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8코어 Arm Cortex-A78AE v8.2 64비트 CPU (Orin NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB 128비트 LPDDR5 (Orin NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 인코딩\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\u003e비디오 디코딩\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 가속기\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\u003e캐리어 보드\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 M PCIe (M.2 NVMe 2242 SSD 128G 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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 4핀 (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 6핀 (3.3V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003e기계적\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e치수 (W x D x H)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e63mm x 95mm x 42mm (확장 없이); 63mm x 95mm x 66.7mm (연장 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e무게\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e345g (연장 없음); 462g (연장 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e설치\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e책상; 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 온도\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\u003e보증\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ereComputer Mini J4012 (연장 포함) x1\u003c\/li\u003e\n\u003cli\u003e안테나 x2\u003c\/li\u003e\n\u003cli\u003eXT30 to DC 전원 커넥터 x1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003ch3\u003e로봇 제어\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e비전-언어 모델(e.g., LLaVA)을 사용하여 생성적 AI를 엣지로 가져와 자연어를 통해 비디오에서 요약, 검색 및 통찰력을 추출할 수 있습니다.\u003c\/li\u003e\u003cli\u003e다중 스트림 AI 비디오 분석 구축: Jetson Orin NX 비디오 디코더는 8K\/4K\/HD\/SD 콘텐츠를 가속화합니다; reComputer J4012는 18x1080p30 스트림을 처리할 수 있습니다 (NVIDIA DeepStream으로 테스트됨).\u003c\/li\u003e\n\u003cli\u003e빠른 배포: 준비된 환경을 갖춘 생성 AI (Ollama, Llama3) 및 컴퓨터 비전 (YOLOv8)을 위한 원라인 프로젝트.\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\u003e문서\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\"\u003e데이터 시트\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\"\u003e회로도\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 파일\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 제품 카탈로그\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 비교\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 제품 비교\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 성공 사례\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 원페이지\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\u003e중국\u003c\/td\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e상세정보\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\u003e엘리트 파트너 NVIDIA reComputer Mini J4012 Jetson Orin, 6GB RAM을 갖춘 TOPS NX 성능 제공, 크기는 63x95x42mm입니다 (66.7mm 확장 포함). -10°C에서 50°C까지의 넓은 온도 범위에서 작동합니다. USB 2.0, 마이크로-B, WiFi\/Bluetooth 및 4x USB 3.2 Type-A와 같은 I\/O 포트를 포함한 기능이 특징입니다.\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\u003e컴팩트하고 기능이 풍부한 ReComputer J4012 AI 컴퓨터는 2x USB 3.2 Type-A, 4x USB 3.0 Type-A (5 Gbps), 이더넷, SPI, IIC0, IIC1, CAN0+전원, CAN1, USB 2.0, UART1, UART DEBUG 및 전원 입력(9–60V)과 같은 광범위한 연결성을 제공합니다. HOST+DP, USB 2.0 Micro-B (장치 모드), 복구 및 재설정을 지원합니다. 라벨이 붙은 J40 Mini 배지가 전면 패널에서 모델을 식별합니다. 통풍구는 냉각을 돕고, 명확하게 표시된 포트는 쉽게 접근하고 설정할 수 있도록 보장합니다. 다양한 응용 프로그램에서 신뢰할 수 있는 성능을 위해 설계되었습니다.\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\u003e선반이 무너져 상자가 오후 3시 30분에 떨어져 창고의 통로를 막았습니다.\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 자동차가 0.73 FPS의 성능으로 BLOCKING MODE에서 열립니다.\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 컴퓨터, Llama3, Ollama, LLaVA 등 다양한 기능을 갖추고 있습니다.\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 엣지 AI 컴퓨터 – NVIDIA Jetson Orin Nano 4GB, 34 TOPS, 2x RJ45 GbE, 4x USB 3.2, HDMI 2.1","description":"\u003ch2\u003e개요\u003c\/h2\u003e\n\u003cp\u003ereComputer Super J3010은 NVIDIA® Jetson™ Orin™ Nano 4GB 모듈을 기반으로 한 엣지 AI 컴퓨터입니다. MAXN 슈퍼 모드에서 최대 34 TOPS를 제공하며, -20℃~65℃에서 작동하고, 확장 모듈을 통한 Wi‑Fi\/Bluetooth\/LTE 기능과 듀얼 기가비트 이더넷을 통해 빠른 개발 및 배포를 위해 설계되었습니다. 시스템은 JetPack 6.2가 사전 설치되어 있으며 128GB NVMe SSD가 포함되어 있습니다. 비디오 분석, 다중 모드 인식 및 로봇 공학에 적합합니다. reComputer Super J3010 패밀리 또는 J3011 (Orin Nano 8GB) 변형을 고려하는 프로젝트의 경우, 사양 섹션의 모듈 비교를 참조하십시오.\u003c\/p\u003e\n\u003ch2\u003e주요 특징\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e슈퍼 부스트 AI 성능:\u003c\/strong\u003e 비전 AI, 로봇 공학 및 생성 AI를 위한 MAXN 슈퍼 모드에서 최대 34 TOPS.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e에너지 효율적인 작동:\u003c\/strong\u003e 10W에서 25W까지 구성 가능한 전력 모드 (모듈 전력 프로파일: J3010의 경우 7W–10W–25W; J3011의 경우 7W–15W–25W).\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003e강력한 열 설계:\u003c\/strong\u003e -20°C에서 65°C까지 신뢰할 수 있는 작동.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e다양한 인터페이스:\u003c\/strong\u003e 2x RJ45, SIM 카드 슬롯, 4× USB 3.2 Type‑A (5Gbps), 1× USB 2.0 Type‑C (장치\/디버그), HDMI 2.1, CAN, 그리고 M.2 Key E\/M, Mini‑PCIe, 4× CSI 카메라용.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e배포 준비 완료:\u003c\/strong\u003e JetPack 6.2가 사전 설치되어 있으며 128GB NVMe SSD; NVIDIA Isaac, Hugging Face, ROS2\/1을 지원하여 애플리케이션 개발을 가속화합니다.\u003c\/li\u003ehtml\n\u003c\/ul\u003e\n\u003ch2\u003e사양\u003c\/h2\u003e\n\u003ch3\u003e모듈 (AP) 비교\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e모델\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\u003e응용 프로그램 프로세서 (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\u003eAI 성능\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\u003e512코어 NVIDIA Ampere 아키텍처 GPU, 16 텐서 코어 포함\u003c\/td\u003e\n\u003ctd\u003e1024코어 NVIDIA Ampere 아키텍처 GPU, 32 텐서 코어 포함\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU 최대 주파수\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\"\u003e6코어 Arm® Cortex®‑A78AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU 최대 주파수\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1.\n7 GHz (MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e4GB 64‑비트 LPDDR5 (최대 34GB\/s; 51 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003ctd\u003e8GB 128‑비트 LPDDR5 (최대 68GB\/s; 102 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전력 프로파일\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\u003e비디오 인코딩\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1–2 CPU 코어로 지원되는 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 디코딩 (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 카메라\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e최대 4대의 카메라 (가상 채널을 통해 8대***); 8 레인 MIPI CSI‑2; D‑PHY 2.1 (최대 20Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e모듈 기계적\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e69.6mm × 45mm; 260‑핀 SO‑DIMM 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e캐리어 보드 \u0026및 시스템\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e스토리지\u003c\/td\u003e\n\u003ctd\u003e1× M.2 키 M PCIe (M.2 NVMe 2280 SSD 128G 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워킹 – M.2 키 E\u003c\/td\u003e\n\u003ctd\u003e1× M.2 Key E for WiFi\/Bluetooth module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워킹 – Mini‑PCIe\u003c\/td\u003e\n\u003ctd\u003e1× mini‑PCIe for LTE 4G 모듈\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e이더넷\u003c\/td\u003e\n\u003ctd\u003e2× RJ45 기가비트 이더넷\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 (장치 모드\/디버그)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e카메라\u003c\/td\u003e\n\u003ctd\u003e4× MIPI CSI (2‑lane, 15‑Pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCAN\u003c\/td\u003e\n\u003ctd\u003e1× CAN (4‑Pin 헤더)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e디스플레이\u003c\/td\u003e\n\u003ctd\u003e1× HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e팬\u003c\/td\u003e\n\u003ctd\u003e1× 4‑Pin 1.25mm 팬 커넥터 (5V PWM); 1× 4‑Pin 2.54mm 팬 커넥터 (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e연장 포트\u003c\/td\u003e\n\u003ctd\u003e1× 40‑핀 연장 헤더; 1× 12‑핀 제어 및 UART 헤더\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1× RTC 2‑핀; 1× RTC 소켓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED\u003c\/td\u003e\n\u003ctd\u003e2× LED (PWR 및 ACT)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e버튼\u003c\/td\u003e\n\u003ctd\u003e1× PWR; 1× RESET\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e스위치\u003c\/td\u003e\n\u003ctd\u003e1× REC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e안테나\u003c\/td\u003e\n\u003ctd\u003e4× 안테나 홀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 입력\u003c\/td\u003e\n\u003ctd\u003e12–19V 5525 배럴 DC 잭\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e소프트웨어\u003c\/td\u003e\n\u003ctd\u003eJetPack 6.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e기계적 (가로 × 세로 × 높이)\u003c\/td\u003e\n\u003ctd\u003e130mm × 120mm × 66mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무게\u003c\/td\u003e\n\u003ctd\u003e1110g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e설치\u003c\/td\u003e\n\u003ctd\u003e책상, 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e‑20℃~65℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e보증\u003c\/td\u003e\n\u003ctd\u003e2년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e인증\u003c\/td\u003e\n\u003ctd\u003eRoHS, REACH, CE, FCC, UKCA, KC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\n\u003cp\u003eAMR, 스마트 소매, 산업 자동화, 비디오 감시 및 스마트 비디오 분석을 포함한 요구가 많은 엣지 AI 배포를 위해 설계되었습니다. \u003ca href=\"https:\/\/docs.nvidia.com\/jetson\/jps\/moj-overview.html\"\u003eJetson 플랫폼 서비스\u003c\/a\u003e는 NVIDIA Jetson에서 엣지 AI 애플리케이션의 개발, 배포 및 관리를 간소화합니다 (e.g., 4개의 USB 카메라를 이용한 BEV 감지 데모). 생성 AI (Ollama, Llama3), 컴퓨터 비전 (YOLOv8) 등을 위한 빠른 원라인 배포 예제가 \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\"\u003eJetson‑example\u003c\/a\u003e를 통해 제공됩니다.\u003c\/p\u003ehtml\n\u003ch2\u003e문서\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\"\u003e사용자 매뉴얼\u0026및 데이터 시트\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\"\u003e온도 테스트 보고서\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\"\u003e회로도\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 파일\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\"\u003e기계 문서‑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\"\u003e기계 문서‑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 성공 사례\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 원 페이지\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003e인증\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e포함된 내용\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin™ NX 16GB\/NX 8GB \/ Nano 8GB \/ Nano 4GB 모듈\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed 캐리어 보드 (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\u003e팬이 있는 알루미늄 케이스 및 히트싱크\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB 케이블; 타입 A to 타입 C\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e사용자 매뉴얼\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e상세정보\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 4GB는 34 TOPS AI 성능을 제공합니다, 1.7배 향상, 7W–25W 전력 효율성, 개방형 하드웨어, 넓은 온도 지원, 로봇 공학, 생성적 AI 및 스마트 교통에 이상적입니다. (39 words)\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 상업용 모듈 성능 슈퍼 모드: ORIN NANO 4GB, ORIN NANO 8GB, ORIN NX I6G8 GPU 코어: 512, 1024 텐서 코어: 16, 32 최대 주파수: 625 MHz, 918 MHz, 1173 MHz 피크 AI 성능: 20 TOPS, 34 TOPS, 40 TOPS, 67 TOPS, 70 TOPS IO 성능: 100 TOPS, 157 TOPS CPU 주파수: 1.5 GHz, 2.0 GHz SPECint 비율: 106, 118, 130, 167 DLA 성능: 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 스위치, USB 포트, HDMI, 이더넷, SIM 슬롯 및 DC 전원 잭은 NVIDIA Jetson Orin Nano Edge AI 컴퓨터에서 다재다능한 연결성과 성능을 제공합니다. (34 words)\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 모듈 확장 보드는 동시에 SV 및 I2V PWM 제어 기능을 위한 4핀 팬 커넥터를 제공합니다.\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 엣지 AI 컴퓨터의 하단 뷰로, M.2, Mini PCIe, MIPI CSI, CAN, UART, RTC 배터리 및 다양한 연결 및 확장 옵션을 위한 확장 헤더를 포함한 여러 커넥터와 슬롯이 특징입니다.\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 생태계는 다양한 앱과 서비스를 제공합니다. AI-NVR 기반 알림은 실시간 모니터링을 가능하게 합니다. Perceptor 조작기는 컴퓨터 비전 기능을 향상시킵니다. AI 프레임워크에는 Cloud Metropolis와 Isaac Holoscan이 포함됩니다. Reference LoT 서버와 Mobile Ul Al Stack은 유연한 배포 옵션을 제공합니다. Jetson 플랫폼 서비스 TAO는 50개 이상의 사전 훈련된 모델을 지원합니다. DeepStream AI는 AI 분석 및 인식을 가능하게 합니다. CUDA, CUDNN 및 CUDLA는 컴퓨팅을 가속화합니다.\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 Nano는 Llama3, Stable Diffusion, Whisper와 같은 AI 앱을 실행합니다.\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\/LTE용 \/ 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 확장 엣지 AI 컴퓨터, NVIDIA Jetson Orin NX Super 16GB, 157 TOPS","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer Robotics J4012 GMSL 확장 기능이 있는 컴팩트하고 고성능의 엣지 AI 컴퓨터로, 고급 로봇 개발을 위해 설계되었습니다. NVIDIA Jetson Orin NX 16GB 모듈을 기반으로 하여 Super\/MAXN 모드에서 작동하며, 이전 모델에 비해 1.7배 향상된 최대 157 TOPS의 AI 성능을 제공합니다. 이 시스템은 JetPack 6.2와 Linux BSP가 사전 설치되어 있어 원활한 배포가 가능하며, GMSL 카메라를 포함한 여러 센서로부터 복잡한 데이터를 처리할 수 있는 강력한 로봇 두뇌를 제공합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin NX 16GB (Super\/MAXN 모드)로 최대 157 TOPS AI 성능 제공.\u003c\/li\u003e\n\u003cli\u003e사전 설치된 JetPack 6.2 및 Linux BSP; 신속한 배포를 위한 소프트웨어 준비 완료 생태계.\u003c\/li\u003e\n\u003cli\u003e풍부한 로봇 I\/O: 듀얼 RJ-45 기가비트 이더넷, 6x USB 3.2 Type-A (5Gbps), 1x USB 3.0 Type-C (호스트\/DP 1.4), 1x USB 2.0 Type-C (장치 모드에서만 재플래시\/디버그 용도), 2x CAN0 (XT30(2+2)), 3x CAN1 (4-핀 GH-1.25), UART, I2C, LED, 핀홀 버튼, DIP 스위치.\u003c\/li\u003e\n\u003cli\u003eM.2 확장: Wi‑Fi\/Bluetooth용 키 E, 4G\/5G용 키 B, NVMe SSD용 키 M PCIe.\u003c\/li\u003e\n\u003cli\u003eJetPack에서 여러 카메라를 지원하는 즉시 사용 가능한 GMSL 확장; 4x GMSL (6Gbps) 표시됨.\u003c\/li\u003e\n\u003cli\u003e산업용 전원 및 열 설계: XT30을 통한 넓은 19–54V DC 입력, –20℃~60℃ (25W 모드) 및 –20℃~55℃ (MAXN 모드)에서 신뢰할 수 있는 작동, 팬이 있는 reComputer Robotics 히트 싱크.\u003c\/li\u003e\n\u003cli\u003e컴팩트하고 가벼움: 115mm x 115mm x 38mm, 200g; 책상 또는 벽 장착 설치.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ch3\u003e모듈\u003c\/h3\u003e\u003c\/td\u003e\n\u003ctd\u003ereComputer Robotics J4012\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e응용 프로세서 (AP)\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin™ NX 16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI 성능\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\u003e1024코어 NVIDIA Ampere 아키텍처 GPU, 32 텐서 코어 포함\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU 최대 주파수\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\u003e8코어 NVIDIA Arm® Cortex A78AE v8.2 64비트 CPU, 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU 최대 주파수\u003c\/td\u003e\n\u003ctd\u003e2.0 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL 가속기\u003c\/td\u003e\n\u003ctd\u003e2 x NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL 최대 주파수\u003c\/td\u003e\n\u003ctd\u003e1.23 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비전 가속기\u003c\/td\u003e\n\u003ctd\u003e1 x PVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e16GB 128비트 LPDDR5 DRAM 102.4GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 모드\u003c\/td\u003e\n\u003ctd\u003e10W - 15W - 25W - 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 인코딩\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\u003e비디오 디코딩\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 카메라\u003c\/td\u003e\n\u003ctd\u003e최대 4대의 카메라 (가상 채널을 통해 8대); 8 레인 MIPI CSI‑2; D‑PHY 2.1 (최대 20Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e모듈 기계적\u003c\/td\u003e\n\u003ctd\u003e69.6mm x 45mm; 260‑핀 SO‑DIMM 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ch3\u003e캐리어 보드\u003c\/h3\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e저장소\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 M PCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워킹 – M.2 키 E\u003c\/td\u003e\n\u003ctd\u003eWiFi\/Bluetooth 모듈용 1x M.2 키 E\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워킹 – M.2 키 B\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 B for 5G 모듈\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e이더넷\u003c\/td\u003e\n\u003ctd\u003e2x RJ‑45 기가비트 이더넷\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e6x USB 3.2 타입 A (5Gbps); 1x USB 3.0 타입 C (호스트\/DP 1.4); 1x USB 2.0 타입 C (장치 모드 전용으로 재플래시\/디버그)\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 (4핀 GH‑1.25 헤더)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e디스플레이\u003c\/td\u003e\n\u003ctd\u003e1x DP1.4 (타입 C 호스트)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUART\u003c\/td\u003e\n\u003ctd\u003e1 x UART 4핀 GH‑1.25 헤더\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eI2C\u003c\/td\u003e\n\u003ctd\u003e2x I2C 4핀 GH‑1.25 헤더\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e팬\u003c\/td\u003e\n\u003ctd\u003e1x 4핀 팬 커넥터 (5V PWM); 1x 4핀 팬 커넥터 (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e확장 포트\u003c\/td\u003e\n\u003ctd\u003e1x 카메라 확장 헤더 (GMSL2 보드용)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2핀; 1x RTC 소켓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED\u003c\/td\u003e\n\u003ctd\u003e3x LED (PWR, ACT 및 사용자 LED)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e핀홀 버튼\u003c\/td\u003e\n\u003ctd\u003e1x PWR; 1x RESET\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDIP 스위치\u003c\/td\u003e\n\u003ctd\u003e1x REC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e안테나\u003c\/td\u003e\n\u003ctd\u003e5x 안테나 홀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 입력\u003c\/td\u003e\n\u003ctd\u003e19‑54V XT30(2+2) (XT30 to 5525 DC 잭 케이블 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetPack 버전\u003c\/td\u003e\n\u003ctd\u003eJetPack 6.html\n2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e기계적 (시스템)\u003c\/td\u003e\n\u003ctd\u003e115mm x 115mm x 38mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무게\u003c\/td\u003e\n\u003ctd\u003e200g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e설치\u003c\/td\u003e\n\u003ctd\u003e책상, 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e‑20℃~60℃ (25W 모드); ‑20℃~55℃ (MAXN 모드) (팬이 있는 reComputer Robotics 히트 싱크 사용)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e보증\u003c\/td\u003e\n\u003ctd\u003e2년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e인증\u003c\/td\u003e\n\u003ctd\u003eRoHS, CE, FCC, KC (대기 중)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eJetPack에서 지원하는 카메라\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e제조사\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e모델\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e해상도\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센싱\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/SG3S-ISX031C-GMSL2F-p-6245.html\"\u003eSG3S‑ISC031C‑GMSL2F\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e1920H*1536V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센싱\u003c\/td\u003e\n\u003ctd\u003eSG2‑AR0233C‑5200‑G2A\u003c\/td\u003e\n\u003ctd\u003e1920H*1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센싱\u003c\/td\u003e\n\u003ctd\u003eSG2‑IMX390C‑5200‑G2A\u003c\/td\u003e\n\u003ctd\u003e1920H*1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센싱\u003c\/td\u003e\n\u003ctd\u003eSG8S‑AR0820C‑5300‑G2A\u003c\/td\u003e\n\u003ctd\u003e3840H*2160V\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\u003e응용 프로그램\u003c\/h2\u003e\u003cp\u003e자율 모바일 로봇(AMR), 스마트 소매, 산업 자동화, 비디오 감시 및 스마트 비디오 분석과 같은 요구가 많은 엣지 AI 컴퓨터 비전 작업을 위해 설계되었습니다.Jetson 플랫폼 서비스는 NVIDIA Jetson(e.g., 여러 USB 카메라를 이용한 BEV 센싱 데모)에서 Edge AI 애플리케이션의 개발, 배포 및 관리를 간소화합니다. NVIDIA Isaac 플랫폼은 AMR, 조작 팔, 휴머노이드 등을 구축하기 위한 CUDA 가속 라이브러리, 애플리케이션 프레임워크 및 AI 모델을 제공합니다.\u003c\/p\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson Orin™ NX 16GB 모듈 x 1\u003c\/li\u003e\n\u003cli\u003eGMSL 확장 기능이 있는 Seeed 캐리어 보드 (reComputer Robotics J401) x 1\u003c\/li\u003e\n\u003cli\u003e128GB NVMe SSD x 1\u003c\/li\u003e\n\u003cli\u003e팬이 있는 알루미늄 케이스 및 히트싱크 x 1\u003c\/li\u003e\n\u003cli\u003eUSB 케이블; Type A to Type C x 1\u003c\/li\u003e\n\u003cli\u003eXT30 to DC 케이블 x 1\u003c\/li\u003e\n\u003cli\u003e사용자 매뉴얼 x 1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e문서\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\"\u003e사용자 매뉴얼 \u0026및 데이터시트\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\"\u003e캐리어 보드 회로도\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\"\u003e전원 보드 회로도\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 보드 회로도\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 파일\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\"\u003e기계 문서 – 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 제품 카탈로그\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 비교\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 성공 사례\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 원페이지\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e인증\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRoHS, CE, FCC, KC\u003c\/td\u003e\n\u003ctd\u003e(대기 중)\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e상세정보\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)는 157 TOPS AI 성능, 오픈 소스 하드웨어, GMSL 지원을 제공하며, 조작기, 휴머노이드 로봇 및 생성 AI 애플리케이션에 적합합니다.\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\u003e제트슨 상업 모듈 성능 비교:\n* ORIN NANO:\n\t+ 슈퍼 모드: 512 CUDA 코어, 16 텐서 코어, 20 TOPS (희소)\n\t+ CPU: 1.5 GHz, SPEC int 비율: 106\n\t+ DRAM 대역폭: 34 GB\/s\n\t+ 모듈 전력: 7W | IOw\n* ORIN NANO I6g8:\n\t+ 슈퍼 모드: 1024 CUDA 코어, 32 텐서 코어, 117 TOPS (희소)\n\t+ CPU: 2.0 GHz, SPEC int 비율: 167\n\t+ DRAM 대역폭: 102 GB\/s\n\t+ 모듈 전력: 25W | IOw\n* ORIN NX:\n\t+ 슈퍼 모드: 512 CUDA 코어, 16 텐서 코어, 20 TOPS (희소)\n\t+ CPU: 1.5 GHz, SPEC int 비율: 106\n\t+ DRAM 대역폭: 34 GB\/s\n\t+ 모듈 전력: 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 컴퓨터는 로봇 공학을 위한 CAN0\/CAN1, USB 3.2, 이더넷, UART, IIC, DC 전원 및 디버그\/디스플레이 포트를 포함합니다.\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 컴퓨터는 6x USB 3.2 포트, 2x RJ45 이더넷, M.2 키 B\/E\/M 슬롯, 카메라 확장 헤더, RTC 배터리 소켓, Type-C USB 2.0 및 다기능 연결 및 확장을 위한 DIP 스위치를 포함합니다.\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 아이작 플랫폼은 GROOT N 모델, Omniverse의 시뮬레이션, 그리고 Jetson에서의 ROS를 통합하여 휴머노이드, 조작 및 모바일 로봇 워크플로우를 지원합니다.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"wi-Fi\/BLE\/LTE용 \/ Orin NX + 16GB \/ GMSL와 함께","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 팬리스 엣지 AI 컴퓨터 (NVIDIA Jetson Orin Nano 4GB, 20 TOPS, 듀얼 GbE PoE)","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer Industrial J3010은 NVIDIA Jetson Orin™ Nano 4GB 모듈을 기반으로 구축된 엣지 AI 컴퓨터로, 20 TOPS AI 성능을 제공합니다. 이 제품은 2개의 RJ-45 이더넷 포트(하나는 PoE PSE 지원), 결합된 RS232\/RS422\/RS485 직렬 포트 및 CAN, 그리고 풍부한 USB 및 디스플레이 인터페이스를 포함한 하이브리드 연결성을 통합합니다. 팬이 없는 수동 히트싱크 디자인과 다양한 장착 옵션(책상, DIN 레일, 벽, VESA)은 열악한 환경과 더 무거운 작업 부하에서의 배치를 가능하게 합니다. 이 시스템은 -20 ~ 60°C(0.7m\/s 공기 흐름 시)에서 작동하며, 전력 효율성이 뛰어납니다(10W – 20W).\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSSD 참고:\u003c\/strong\u003e SSD의 경우, Seeed는 JetPack 버전 호환성 차이로 인해 Seeed의 128GB, 256GB 또는 512GB NVMe M.2 2280 모델을 사용하는 것을 권장합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin Nano 4GB (20 TOPS)와 512코어 Ampere GPU 및 16 Tensor Core.\u003c\/li\u003e\n\u003cli\u003e6코어 Arm Cortex-A78AE 64비트 CPU (1.5MB L2 + 4MB L3); 4GB 64비트 LPDDR5, 34 GB\/s.\u003c\/li\u003e\u003cli\u003e이중 RJ-45 GbE: LAN1 PoE PSE (802.3 af, 15 W) 포함; LAN2 10\/100\/1000 Mbps.\u003c\/li\u003e\n\u003cli\u003e산업용 I\/O: 1x DB9 (RS232\/RS422\/RS485), 4x DI, 4x DO, 1x CAN, 여러 GND 라인.\u003c\/li\u003e\n\u003cli\u003eUSB: 3x USB 3.2 Gen1 Type-A; 1x USB 2.0 Type-C (장치 모드); 1x USB 2.0 Type-C 디버그 UART \u0026amp; RP2040.\u003c\/li\u003e\n\u003cli\u003e디스플레이 및 카메라: 1x HDMI (제품 이미지 기준 HDMI 2.0), 1x DP; 2x CSI (2-레인, 15핀).\u003c\/li\u003e\n\u003cli\u003e저장소: 1x M.2 Key M PCIe 슬롯 (M.2 NVMe 2280 SSD 128G 포함).\u003c\/li\u003e\n\u003cli\u003e확장: 4G\/LoRaWAN®용 Mini PCIe (선택 사항), 4G\/5G용 M.2 Key B (선택 사항), Wi‑Fi\/Bluetooth 지원 (맞춤형), TPM 2.0 커넥터, RTC 소켓 (CR1220 포함).\u003c\/li\u003e\n\u003cli\u003eSIM: 1x 나노 SIM 카드 슬롯.\u003c\/li\u003e\n\u003cli\u003e전원: 2핀 터미널 블록을 통한 DC 12V–24V; 19V 전원 어댑터 포함 (AC 클로버리프 코드 없음).\u003c\/li\u003e\n\u003cli\u003e기계적: 159mm x 155mm x 57mm; 1.57kg; 장착 옵션: 책상, DIN 레일, 벽, VESA.\u003c\/li\u003e\n\u003cli\u003e환경: -20 ~ 60°C (0. 포함).7m\/s 공기 흐름), 40°C에서 95% (비응축), 3 Grms 진동, 50G 충격.\u003c\/li\u003e\n\u003cli\u003e오픈 소스 하드웨어 및 제품 이미지당 전력 효율적인 작동 (10W – 20W).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI 성능\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\u003e512코어 NVIDIA Ampere 아키텍처 GPU, 16 텐서 코어 포함\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6코어 Arm® Cortex®-A78AE v8.2 64비트 CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB 64비트 LPDDR5, 34 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 인코더\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1–2 CPU 코어로 지원되는 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 디코더\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\u003e캐리어 보드\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 M PCIe (M.2 NVMe 2280 SSD 128G 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e이더넷\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 (장치 모드); 1x USB 2.0 Type‑C 디버그 UART \u0026amp; RP2040\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e디스플레이\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 타입 A (HDMI 2.0 제품 이미지당); 1x DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e팬\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4핀 팬 커넥터 (5V PWM); 팬리스 패시브 히트싱크\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDI\/DO \u0026앰프; 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 나노 SIM 카드 슬롯\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e미니 PCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e미니 PCIe 4G\/LoRaWAN® 지원 (모듈 선택 사항)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWi‑Fi\/블루투스\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSMD Wi‑Fi\/블루투스 지원 (맞춤형 생산; order@seeed.cc에 문의)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eM.2 키 B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eM.2 키 B는 4G\/5G를 지원합니다 (모듈 선택 사항)\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 커넥터 (모듈 선택 사항)\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 소켓 (CR1220 포함); 1x RTC 2‑핀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e카메라\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2‑레인, 15‑핀)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원 입력\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC 12V–24V, 2‑핀 터미널 블록\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원 어댑터\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e19V 전원 어댑터 (전원 코드 없음)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전력 소비\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10W – 20W (제품 이미지 기준)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e치수 (W x D x H)\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\u003e무게\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1.57kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e설치\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e책상, DIN 레일, 벽 장착, VESA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 온도\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-20 ~ 60°C, 0.7m\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 습도\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e95% @ 40°C (비응축)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e진동\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e3 Grms @ 5 ~ 500 Hz, 랜덤, 1 hr\/축\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e충격\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e50G 피크 가속도 (11 msec)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e보증\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e하드웨어 개요\u003c\/h2\u003e\u003ch3\u003e전체 시스템\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\u003e캐리어 보드\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\u003e데스크탑, 벽 장착, DIN 레일, VESA 장착으로 어디에나 적합\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\u003e응용 프로그램\u003c\/h2\u003e\u003ch3\u003e응용 분야\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eAI 비디오 분석\u003c\/li\u003e\n\u003cli\u003e기계 비전\u003c\/li\u003e\n\u003cli\u003e자율 이동 로봇 (AMR)\u003c\/li\u003e\n\u003cli\u003e생성적 AI\u003c\/li\u003e\u003c\/ul\u003e\u003ch3\u003e생성 AI를 엣지로 가져올 수 있는 능력\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\u003e비전-언어 모델을 사용하여 대량의 실시간 또는 아카이브된 비디오 및 이미지를 처리하는 AI 에이전트를 구축하십시오(e.g., LLaVA) 자연어를 사용하여 요약, 검색 및 통찰력을 추출합니다.\u003c\/p\u003e\u003ch3\u003e다중 스트림 AI 비디오 분석 구축\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 플랫폼은 NVIDIA 다중 표준 비디오 디코더를 통합하여 SD, HD 및 UltraHD(4K\/8K 포함) 콘텐츠의 비디오 디코드를 가속화합니다.\u003c\/p\u003e\u003ch3\u003e생성 AI 및 컴퓨터 비전 모델을 배포하는 가장 빠른 방법\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\u003eSeeed는 Ollama, Llama3, VLMs, YOLOv8 등을 포함한 엣지 AI 애플리케이션의 원격 배포를 위한 \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\" target=\"_blank\"\u003ejetson-example\u003c\/a\u003e 프로젝트를 제공합니다. 모든 환경은 단일 명령 배포를 가능하게 하도록 사전 구성되어 있습니다.\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\u003e문서\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\"\u003e데이터 시트\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\"\u003e회로도\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/Industrial\/reComputer-Industrial.stp\" target=\"_blank\"\u003e3D 파일\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\"\u003e조립 가이드\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/MTBF-18290KC40023301.pdf\" target=\"_blank\"\u003eMTBF 테스트 보고서\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 제품 카탈로그\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 비교\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 제품 비교\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 성공 사례\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 원 페이지\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e인증\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 내용\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ereComputer Industrial J3010 (시스템 설치됨)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e장착 브래킷\u003c\/td\u003e\n\u003ctd\u003ex2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDIN 레일 브래킷\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e브래킷 나사\u003c\/td\u003e\n\u003ctd\u003ex4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDIO용 16핀 터미널 블록\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e19V 전원 어댑터 (전원 코드 별도 판매)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2핀 터미널 블록 전원 커넥터\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003e\u003cstrong\u003e전원 코드 주의:\u003c\/strong\u003e 이 제품에는 전원 어댑터가 포함되어 있지만 AC 클로버리프 전원 코드는 포함되어 있지 않습니다.다음 지역에 적합한 전원 코드를 구매해 주십시오:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/AC-US-p-5122.html\" target=\"_blank\"\u003eAC 클로버리프 전원 코드 – 미국\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 클로버리프 전원 코드 – 유럽\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e상세정보\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\u003e엘리트 포터는 NVIDIA의 산업용 재컴퓨터입니다. Jetson Orin 프로세서를 탑재하여 20 TOPS 성능과 4GB 메모리를 제공합니다. 이 팬리스 장치는 59mm x 155mm x 70mm 크기를 가지며, 전력 소비가 20W로 낮습니다. HDMI, 이더넷, USB 등 다양한 인터페이스를 지원합니다.\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\u003e무선 데이터 수집 링크(WDAL) 모듈은 Lani-PSE HDMI 및 USB-ZO SIM 리셋을 위한 것입니다. 기능으로는 U5B3.2 x3 장치, 나노 불톤 LAN2, USB-Z.0 복구, DC 입력, ED COM DLX4 실행, DOx4 CAN XL 디버그 버튼, 12-24V 전원, LED 표시기 및 RS232\/RS422\/RS485 직렬 통신이 포함됩니다.\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 키 B 미니 PCIe, M.2 키 M 및 2* CSI (2-레인 15핀) 인터페이스를 특징으로 합니다.260핀 SODIMM 커넥터, TPM 헤더, 제어 및 UART 헤더, FAN 헤더, 2핀 RTC 연결을 포함합니다. 외부 안테나 인터페이스를 통한 선택적 Wi-Fi\/Bluetooth를 지원합니다. DIP 스위치, RTC 소켓 및 메모리 커넥터가 장착되어 있습니다. 엣지 컴퓨팅 애플리케이션에서 강력한 연결성과 확장을 위해 설계되었습니다.\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\u003e3번 통로에서 선반이 무너졌고, 오후 3시 30분에 상자가 떨어져 통행을 차단했습니다. 카메라 스트림으로 확인되었습니다.\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\u003e데스크탑에서 Nvidia Deepstream 자동차 데모, 프레임 속도 0 FPS, 평균 프레임 속도 0.79.\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 AI는 Llama3, ollama, LLaVA, Stable Diffusion, Nanoowl, Whisper를 지원합니다.\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\/LTE용 \/ Orin Nano + 4GB \/ 전원 어댑터 포함 GMSL 없음","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 엣지 AI 컴퓨터 (NVIDIA Jetson Orin NX 16GB, 100 TOPS, 128GB NVMe, PCIe, DP 1.4)","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer Mini J4012는 NVIDIA Jetson Orin NX 16GB 모듈을 기반으로 한 엣지 AI 컴퓨터로, 최대 100 TOPS의 AI 성능을 제공합니다. 이 컴팩트 시스템(63mm x 95mm x 42mm)은 Mini J401 캐리어 보드, 액티브 쿨링 및 인클로저를 통합하며, 하단에 PCIe 확장 인터페이스가 있습니다. XT30 커넥터를 통해 DC 입력을 수용하며, 드론, 순찰 로봇 및 배달 로봇과 같은 임베디드 배터리 구동 자율 기계용으로 설계되었습니다. JetPack 6.0이 포함된 128GB NVMe SSD에 사전 설치되어 있어 Jetson 소프트웨어 및 주요 AI 프레임워크의 신속한 배포가 가능합니다. 데스크탑 및 벽 장착을 지원합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003ch3\u003e탁월한 AI 성능\u003c\/h3\u003e\u003cp\u003eNVIDIA Ampere GPU 아키텍처, 64비트 운영 능력, 통합 다기능 비디오\/이미지 처리 및 NVIDIA 딥 러닝 가속기를 결합한 NVIDIA Orin SoC로 최대 100 TOPS를 지원합니다.\u003c\/p\u003e\u003ch3\u003e손 크기 장치로 엣지 배포\u003c\/h3\u003e\u003cp\u003e63mm x 95mm x 42mm의 컴팩트 디자인으로 NVIDIA Jetson Orin NX 16GB, Mini J401 캐리어 보드, 팬 및 인클로저가 포함되어 있으며, 데스크탑 및 벽 장착을 지원합니다.\u003c\/p\u003e\u003ch3\u003e풍부한 I\/O 및 확장\u003c\/h3\u003e\u003cp\u003e최대 4개의 USB, DP 1.4, M.2 Key E 및 M.2 Key M을 포함합니다. 선택적 확장은 4개의 USB 3.0 Type-A, 이중 CAN 및 RJ-45 GbE (10\/100\/1000M)를 제공합니다. \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-Mini-J4012-with-Extension-p-6353.html\" rel=\"noopener\" target=\"_blank\"\u003e확장 기능이 있는 reComputer J4012\u003c\/a\u003e를 참조하십시오.\u003c\/p\u003e\u003ch3\u003e시장 출시 시간 단축\u003c\/h3\u003e\u003cp\u003eLinux OS BSP가 설치된 128GB NVMe SSD에 JetPack 6.0이 사전 설치되어 있으며, Jetson 소프트웨어 및 인기 AI 프레임워크를 지원합니다.\u003c\/p\u003e\u003ch3\u003e확장 가능한 플릿 배포\u003c\/h3\u003e\u003cp\u003eAllxon 및 Balena에서 제공하는 OTA 및 원격 관리 서비스를 지원합니다.\u003c\/p\u003e\u003ch3\u003e유연한 맞춤화\u003c\/h3\u003e\u003cp\u003e맞춤화 옵션에는 원래 J4012 디자인을 기반으로 한 액세서리\/모듈 변경, 로고 및 하드웨어 인터페이스 수정이 포함됩니다.\u003c\/p\u003e\u003ch3\u003e오픈 소스 하드웨어\u003c\/h3\u003e\u003cp\u003e개발 및 통합을 위한 오픈 소스 하드웨어 생태계.\u003c\/p\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003e제트슨 오린 시스템 온 모듈\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI 성능\u003c\/td\u003e\n\u003ctd\u003e오린 NX 16GB, 최대 100 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e32개의 텐서 코어를 갖춘 1024코어 NVIDIA 앰페어 아키텍처 GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e8코어 Arm Cortex-A78AE v8.2 64비트 CPU (오린 NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e16GB 128비트 LPDDR5 (오린 NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL 가속기\u003c\/td\u003e\n\u003ctd\u003e2x NVDLA v2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 인코딩\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\u003e비디오 디코딩\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\u003e캐리어 보드\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e저장소\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 M PCIe (M.2 NVMe 2242 SSD 128G 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워킹\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 E WiFi\/Bluetooth 모듈용\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.2 타입-A (10Gbps); 1x USB 2.0 마이크로-B (장치 모드); 1x USB 3.2 타입-C (호스트 모드); 1x USB 2.0 JST-5핀 (호스트 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUART\u003c\/td\u003e\n\u003ctd\u003e1x UART; 1x 디버그 UART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e디스플레이\u003c\/td\u003e\n\u003ctd\u003e1x DP 1.4 (Type-C 커넥터에 포함됨)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e팬\u003c\/td\u003e\n\u003ctd\u003e1x 4핀 팬 커넥터 (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e버튼\u003c\/td\u003e\n\u003ctd\u003e1x 리셋; 1x 복구\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e확장 포트\u003c\/td\u003e\n\u003ctd\u003e2x 60핀 고속 커넥터 (확장 보드용); 1x 10핀 전원 커넥터 (확장 보드용)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2핀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원\u003c\/td\u003e\n\u003ctd\u003e1x XT30 커넥터 (12–54V DC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e치수 (W x D x H)\u003c\/td\u003e\n\u003ctd\u003e63mm x 95mm x 42mm (확장 없이); 높이 66.7mm (확장 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무게\u003c\/td\u003e\n\u003ctd\u003e345g (확장 없이)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e설치\u003c\/td\u003e\n\u003ctd\u003e책상, 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e‑10℃ ~ 50℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e보증\u003c\/td\u003e\n\u003ctd\u003e1년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e하드웨어 개요\u003c\/h2\u003e\u003ch3\u003e데스크탑, 벽 장착, 확장 가능, 또는 어디에나 적합\u003c\/h3\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003ch3\u003e로봇 제어\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eGenerative AI를 엣지로 가져올 수 있는 능력\u003c\/li\u003e\n\u003cli\u003e다중 스트림 AI 비디오 분석 구축; Orin NX 비디오 디코더는 SD\/HD\/UltraHD (8K, 4K 등)를 지원합니다; reComputer J4012는 18x1080p30 스트림을 처리할 수 있습니다\u003c\/li\u003e\n\u003cli\u003eGenerative AI (e.g., Ollama, Llama3) 및 컴퓨터 비전 모델의 빠른 배포e.g., YOLOv8) 원라인 제트슨 예제 프로젝트\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\u003e문서\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\"\u003e데이터시트\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\"\u003e회로도\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 파일\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 제품 카탈로그\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 비교\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 제품 비교\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 성공 사례\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 원페이지\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e인증\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 항목\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\u003e안테나\u003c\/td\u003e\n\u003ctd\u003ex2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eXT30에서 DC 전원 커넥터\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e상세정보\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 성능, 오픈 소스 하드웨어, 넓은 온도 범위, USB, WiFi\/Bluetooth; 로봇 및 자율 기계용 선택적 추가 기능.(39 words)\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\u003e전원 공급 장치를 9-60V 범위로 재설정합니다. 호스트 및 DP USB 2.0 포트와 함께 장치 모드 통신을 위한 micro-B UART 1 인터페이스가 특징입니다. 이 장치는 UART 디버그 복구를 지원하며, 20개의 J40 미니, 2개의 USB 3.2 Type-A, 4개의 USB 3.0 Type-A 포트를 포함하여 최대 5 Gbps의 속도를 제공합니다. 또한 CAN+, 전원 이더넷, IIC\/IIC SPI 인터페이스 및 debus T\/Mart F\/A 통신 옵션을 제공합니다.\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\u003e3번 통로에서 선반이 무너졌고, 오후 3시 30분에 상자가 떨어져 통행을 차단했습니다. 카메라 스트림이 사건을 확인했습니다.\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 자동차 성능 메트릭: FPS 0, 평균 0.79. 차단 모드에서 열기. 공급업체 ID: tegra. 상태: 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 AI는 Llama3, ollama, LLaVA, Stable Diffusion, Whisper를 지원합니다.\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":"nVIDIA Jetson Orin Nano 4GB, 128GB NVMe SSD, HDMI, USB 3.2, GbE가 탑재된 reComputer Classic J3010B 엣지 AI 컴퓨터","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer Classic J3010B는 NVIDIA Jetson Orin Nano 4GB 모듈을 기반으로 한 엣지 AI 컴퓨터입니다. 이 제품은 2x USB 3.2 Type-A (10Gbps), 1x USB2.0 Type-C (장치 모드), 1x HDMI 2.1, 1x 기가비트 이더넷 (10\/100\/1000M), 2x CSI 카메라 커넥터, SSD용 M.2 Key M, Wi-Fi 모듈용 M.2 Key E*, LTE 모듈용 미니-PCIe*, CAN, 40핀 확장 헤더, 12핀 제어\/UART 헤더를 포함한 컴팩트하고 생산 준비가 완료된 디자인을 통합합니다. 이 장치는 사전 설치된 128GB NVMe SSD를 포함하고 있으며, −10~60 °C에서 작동하며, 5525 DC 잭을 통해 DC 9–19V로 전원을 공급받습니다. JetPack 5.1.3 및 Linux OS BSP가 사전 설치되어 있으며 JetPack 6.2를 지원합니다. 인증에는 CE, FCC, KC, UKCA, REACH 및 RoHS가 포함됩니다. 생산 수명은 최소 2032년까지입니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003ch3\u003e가장 강력한 임베디드 AI 플랫폼 구축\u003c\/h3\u003e\u003cp\u003eJetson Orin Nano 모듈과 호환되며 최대 67 TOPS를 제공합니다 — OS 업그레이드는 사용자가 직접 해야 합니다. 슈퍼 모드에서 전력 소비는 25W입니다.\u003c\/p\u003e\u003ch3\u003e개발 및 생산을 위한 설계\u003c\/h3\u003e\u003cp\u003e풍부한 I\/O 세트가 장착되어 있습니다: 2x USB3.2, HDMI, 이더넷, M.2 키 M, M.2 키 E, 미니 PCIe, 40핀 GPIO 등. Wi-Fi 및 LTE를 포함한 여러 유선 및 무선 통신을 지원합니다.\u003c\/p\u003e\u003ch3\u003e즉시 시장 출시 가능\u003c\/h3\u003e\u003cp\u003e사전 설치된 JetPack 5.1.3, Linux OS BSP 준비 완료, JetPack 6.2 지원. 인증에는 ROHS, CE, FCC, KC, UKCA, REACH가 포함됩니다.\u003c\/p\u003e\u003ch3\u003e긴 수명 공급\u003c\/h3\u003e\u003cp\u003e생산 수명: 최소 2032년까지.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e참고:\u003c\/strong\u003e Wi-Fi 및 LTE 모듈은 추가 구매가 필요하며 패키지에 포함되어 있지 않습니다.\u003c\/p\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e매개변수\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e설명\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003e하드웨어 사양\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e제품 시리즈\u003c\/td\u003e\n\u003ctd\u003ereComputer J3010B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e모듈\u003c\/td\u003e\n\u003ctd\u003eJetson Orin Nano 4GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI 성능\u003c\/td\u003e\n\u003ctd\u003e20 TOPS; 슈퍼 모드에서 34 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e512코어 NVIDIA Ampere 아키텍처 GPU, 16 텐서 코어 포함\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU 최대 주파수\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\u003e6코어 Arm® Cortex®-A78AE v8.2 64비트 CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU 최대 주파수\u003c\/td\u003e\n\u003ctd\u003e1.5 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e4GB 64비트 LPDDR5; 34 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e저장소\u003c\/td\u003e\n\u003ctd\u003e사전 설치된 128GB NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 인코더\u003c\/td\u003e\n\u003ctd\u003e1–2 CPU 코어로 지원되는 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 디코더\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\u003e인터페이스\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e디스플레이\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-레인 15핀)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e네트워킹\u003c\/td\u003e\n\u003ctd\u003e1x 기가비트 이더넷 (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 Type-A (10Gbps); 1x USB2.0 Type-C (장치 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 키 M\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 M SSD용\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 키 E\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key E for Wi‑Fi 모듈*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e미니‑PCIe\u003c\/td\u003e\n\u003ctd\u003e1x 미니‑PCIe LTE 모듈*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e팬\u003c\/td\u003e\n\u003ctd\u003e1x JST 4핀 팬 커넥터(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\u003e다기능 포트\u003c\/td\u003e\n\u003ctd\u003e1x 40핀 확장 헤더; 1x 12핀 제어 및 UART 헤더\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003eRTC 2핀; RTC 소켓 (CR1220* 지원)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 공급\u003c\/td\u003e\n\u003ctd\u003eDC 9–19V 5525 DC 잭을 통해\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003e표준\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e인증\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\u003e주변 조건\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e-10~60 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cstrong\u003e기타\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e치수\u003c\/td\u003e\n\u003ctd\u003e130mm x 120mm x 58.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무게\u003c\/td\u003e\n\u003ctd\u003e451.9g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e보증\u003c\/td\u003e\n\u003ctd\u003e2년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e생산 수명\u003c\/td\u003e\n\u003ctd\u003e2032년까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e성명서\u003c\/td\u003e\n\u003ctd\u003e*로 표시된 옵션은 추가 구매가 필요합니다.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e하드웨어 개요\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\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e스마트 가로등\u003c\/strong\u003e\u003cbr\u003e스마트 가로등은 센서를 통해 교통을 모니터링하고 더 나은 교통 관리를 위해 데이터를 전송합니다. 이들은 태양광을 통합하고, 야간 사용을 위해 에너지를 저장하며, 잉여 전력을 그리드에 공급할 수 있습니다.\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\u003e전기차 배터리 교환\/충전 시스템\u003c\/strong\u003e\u003cbr\u003e배터리 교환은 전기차의 주행 거리 불안을 완화합니다. 스마트 그리드에 연결된 충전소는 충전 시간을 최적화합니다. 일부 전기차는 그리드에 전력을 공급할 수도 있습니다.\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\u003e스마트 재활용 센터\u003c\/strong\u003e\u003cbr\u003e재활용 통의 센서가 쓰레기 수거 횟수를 줄입니다. 에너지 효율적인 장비는 비혼잡 시간대에 작동하며, 재활용된 자재는 스마트 그리드 및 전기차 부품에 사용됩니다.\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\u003e문서\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\"\u003e데이터 시트\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\"\u003e캐리어 보드 회로도\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 보드 회로도\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 제품 카탈로그\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 제품 비교\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 성공 사례\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 원페이지\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003ch2\u003e인증\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e부품 목록\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd\u003eNVIDIA Jetson Orin™ 모듈\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed 캐리어 보드 (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\u003e팬이 있는 알루미늄 히트싱크\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e알루미늄 케이스 (검정색)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 어댑터（12V\/5A）\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003e참고: Wi‑Fi 및 LTE 모듈은 추가 구매가 필요하며, 패키지에 포함되어 있지 않습니다.\u003c\/p\u003e\u003ch2\u003e세부정보\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\u003e특징 M.2 슬롯, USB 3.2, HDMI, 기가비트 이더넷, SIM 슬롯, LTE용 미니-PCIE, GPIO, I2C, UART, CAN, PoE, 듀얼 MIPI-CSI 카메라, DC 전원 잭 및 RTC 소켓—광범위한 연결성과 확장 옵션을 갖춘 컴팩트한 컴퓨팅.\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\u003e카메라, 마이크, LED 패널 및 음향 시스템이 장착된 스마트 가로등\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\/LTE용 \/ Orin Nano + 4GB \/ 전원 어댑터 포함 GMSL 없음","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":"nVIDIA Jetson Orin Nano Super 8GB 기반 reComputer Robotics J3011(GMSL 확장 포함) – 엣지 AI 컴퓨터","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer Robotics J3011 GMSL 확장 기능이 있는 Edge AI 컴퓨터는 고급 로봇 개발을 위해 설계되었습니다. NVIDIA Jetson Orin 모듈과 Super\/MAXN 모드에서 호환되며, JetPack 6.2 및 Linux BSP가 사전 설치되어 있습니다. Jetson Orin Nano 8GB 모듈(Super\/MAXN)을 사용하면 시스템은 최대 67 TOPS의 AI 성능을 제공하며, 이전 모델에 비해 최대 1.7배 향상된 성능을 자랑합니다. 이 플랫폼은 GMSL 카메라를 포함한 복잡한 센서 데이터를 처리하는 강력한 로봇 두뇌로 기능합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e컴팩트한 크기에서 향상된 AI 성능:\u003c\/strong\u003e NVIDIA Jetson Orin NX 16GB 모듈을 Super\/MAXN 모드에서 사용할 경우 최대 157 TOPS AI 성능; Jetson Orin Nano 8GB(Super\/MAXN)에서는 최대 67 TOPS.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e로봇을 위한 다양한 인터페이스:\u003c\/strong\u003e 듀얼 RJ45 기가비트 이더넷, 5G\/Wi-Fi\/Bluetooth 모듈을 위한 M.2 슬롯, 6x USB 3.2, 2x CAN, GMSL2(추가 구매 필요), I2C 및 UART.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003e산업용 등급의 전원 및 열 설계:\u003c\/strong\u003e –20 °C에서 60 °C까지 25 W 모드에서 신뢰할 수 있는 작동과 MAXN 모드에서 최대 55 °C까지의 넓은 19–54 V DC 입력에 적합하여 모바일 및 산업 로봇 환경에 적합합니다.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e소프트웨어 준비 완료 생태계:\u003c\/strong\u003e 원활한 배포를 위한 JetPack 6.2 및 Linux BSP가 사전 설치되어 있으며, Isaac Sim과 결합하여 AMR, 조작기, 휴머노이드 등을 구축할 수 있습니다.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e사용 준비 완료 GMSL 확장:\u003c\/strong\u003e 여러 카메라에 대한 GMSL 지원을 제공하며, JetPack과의 통합이 준비되어 있습니다.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e슈퍼 모드에서의 Jetson 모듈 성능:\u003c\/strong\u003e 향상된 전원 관리, 개선된 높은 프레임 속도 처리 및 단축된 추론 시간을 제공합니다.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ch3\u003e모듈\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e모델\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\u003e응용 프로그램 프로세서 (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\u003eAI 성능\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\u003e1024코어 NVIDIA Ampere 아키텍처 GPU와 32개의 텐서 코어\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU 최대 주파수\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\u003e6코어 Arm Cortex-A78AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU 최대 주파수\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\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB 128비트 폭 LPDDR5 DRAM (최대 68GB\/s; 102 GB\/s MAXN_SUPER)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전력 프로파일\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\u003e비디오 인코딩\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1–2 CPU 코어로 지원되는 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 디코딩\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 카메라\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e최대 4대의 카메라 (가상 채널을 통해 8대); 8 레인 MIPI CSI-2; D-PHY 2.1 (최대 20Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e기계적 (모듈)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e69.6mm x 45mm; 260핀 SO-DIMM 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003e캐리어 보드\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 M (PCIe)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹 – M.2 키 E\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 키 E WiFi\/Bluetooth 모듈\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹 – M.2 키 B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5G 모듈용 M.2 키 B 1개\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e이더넷\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRJ-45 기가비트 이더넷 2개\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUSB 3.2 타입 A 6개 (5Gbps); USB 3.0 타입 C 1개 (호스트\/DP 1.4); USB 2.0 타입 C 1개 (장치 모드로 재플래시\/디버그)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCAN0 2개 (XT30(2+2)); CAN1 3개 (4핀 GH-1.25 헤더)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e디스플레이\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDP1.4 1개 (타입 C 호스트)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUART\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUART 1개 (4핀 GH-1.25 헤더)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI2C\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eI2C 2개 (4핀 GH-1.25 헤더)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e팬\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4핀 팬 커넥터 (5V PWM); 1x 4핀 팬 커넥터 (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e확장 포트\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 카메라 확장 헤더 (GMSL2 보드용)\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 2핀; 1x RTC 소켓\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, 사용자)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e핀홀 버튼\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 스위치\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x REC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e안테나 홀\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5x 안테나 홀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원 입력\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e19–54V via XT30(2+2) (XT30 to 5525 DC 잭 케이블 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eJetPack 버전\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\u003e기계적 (시스템)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e115mm x 115mm x 38mm; 200g; 설치: 책상 또는 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 온도\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e–20℃ ~ 60℃ (25W 모드); –20℃ ~ 55℃ (MAXN 모드) – 팬이 있는 reComputer Robotics 히트 싱크와 함께\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e보증\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2년\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e인증 (대기 중)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRoHS, CE, FCC, KC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eJetPack에서 지원하는 카메라\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e제조업체\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e모델\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e해상도\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센싱\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/SG3S-ISX031C-GMSL2F-p-6245.html\"\u003eSG3S-ISC031C-GMSL2F\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e1920H*1536V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센싱\u003c\/td\u003e\n\u003ctd\u003eSG2-AR0233C-5200-G2A\u003c\/td\u003e\n\u003ctd\u003e1920H*1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센싱\u003c\/td\u003e\n\u003ctd\u003eSG2-IMX390C-5200-G2A\u003c\/td\u003e\n\u003ctd\u003e1920H*1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e감지\u003c\/td\u003e\n\u003ctd\u003eSG8S-AR0820C-5300-G2A\u003c\/td\u003e\n\u003ctd\u003e3840H*2160V\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\u003e하드웨어 개요\u003c\/h2\u003e\u003cp\u003e후면 패널 및 캐리어 보드 레이아웃은 CAN0\/CAN1, 이중 RJ45 이더넷, USB 3에 대한 레이블이 있는 액세스를 제공합니다.2\/Type‑C (DP1.4), UART, I2C, RTC 배터리 소켓\/2‑핀 헤더, M.2 키 E\/B\/M 슬롯, DIP 스위치 (REC), 그리고 GMSL2용 카메라 확장 헤더.\u003c\/p\u003e\u003ch2\u003e응용 프로그램\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 소프트웨어 | NVIDIA 개발자\u003c\/strong\u003e\u003c\/a\u003e는 AI 애플리케이션 개발 및 배포를 가속화하도록 설계되었습니다.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e엣지 AI 컴퓨터 비전 애플리케이션을 위해 설계됨:\u003c\/strong\u003e\u003ca href=\"https:\/\/docs.nvidia.com\/jetson\/jps\/moj-overview.html\"\u003eJetson 플랫폼 서비스\u003c\/a\u003e는 NVIDIA Jetson에서 엣지 AI 애플리케이션의 개발, 배포 및 관리를 간소화합니다 (e.g., 4개의 GMSL 카메라를 이용한 BEV 감지 데모).\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e요구가 많은 AI 애플리케이션을 위해 설계됨:\u003c\/strong\u003e AMR, 스마트 소매, 산업 자동화, 비디오 감시 및 스마트 비디오 분석 시나리오. \u003ca href=\"https:\/\/developer.nvidia.com\/isaac\"\u003eNVIDIA Isaac\u003c\/a\u003e 플랫폼은 AMR, 조작기, 휴머노이드 등을 구축하기 위한 CUDA 가속 라이브러리, 애플리케이션 프레임워크 및 AI 모델을 제공합니다.\u003c\/p\u003e\u003ch2\u003e문서\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\"\u003e사용자 매뉴얼 \u0026및 데이터시트\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\"\u003e캐리어 보드 회로도\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\"\u003e전원 보드 회로도\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 보드 회로도\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 파일\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\"\u003e기계 문서 – 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 제품 카탈로그\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 비교\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 성공 사례\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 원페이지\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e인증\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 내용\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd\u003e\u003cstrong\u003e항목\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e수량\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin Nano 8GB 모듈\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGMSL 확장 기능이 있는 Seeed 캐리어 보드 (reComputer Robotics 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\u003e팬이 있는 알루미늄 케이스 및 히트싱크\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB 케이블; 타입 A에서 타입 C\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eXT30에서 DC 케이블\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e사용자 설명서\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e상세정보\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":"로보틱스 J3011 + 오린 나노 + 8GB \/ Wi-Fi\/BLE\/LTE용 \/ GMSL 전원 어댑터 없이","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 (전원 어댑터 미포함) NVIDIA Jetson Xavier NX 16GB, 128GB NVMe SSD, 21 TOPS, HDMI\/DP 탑재 엣지 AI 컴퓨터","description":"\u003ch2\u003e개요\u003c\/h2\u003e\n\u003cp\u003ereComputer J2022 (전원 어댑터 미포함)는 NVIDIA Jetson Xavier NX 16GB 모듈을 기반으로 한 컴팩트 엣지 AI 컴퓨터입니다. 최대 21 TOPS의 AI 성능을 저지연으로 제공하며, 128GB NVMe SSD에 JetPack 4.6.1이 사전 설치되어 있습니다. 이 시스템은 J202 캐리어 보드, 액티브 쿨링 팬 및 알루미늄 인클로저를 통합하고 있습니다. 풍부한 I\/O 포트에는 4x USB 3.1 Type-A, USB Type-C(디바이스 모드), HDMI, DP, CSI 카메라 커넥터, 기가비트 이더넷, CAN, 40핀 헤더를 통한 GPIO, Wi-Fi 확장을 위한 M.2 Key E, SSD를 위한 M.2 Key M이 포함됩니다. 인클로저는 데스크탑 및 벽 장착을 지원합니다. 크기: 130mm x 120mm x 58.5mm(케이스 포함).\u003c\/p\u003e\n\u003ch2\u003e주요 특징\u003c\/h2\u003e\n\u003cp\u003eNVIDIA Jetson Xavier NX SoC(볼타 아키텍처 GPU, NVIDIA 딥 러닝 가속기)로 구동되는 최대 21 TOPS AI 성능\u003c\/p\u003e\n\u003cp\u003e손바닥 크기 시스템: 팬 쿨링 알루미늄 인클로저로 130mm x 120mm x 58.5mm; 데스크탑 또는 벽 장착 가능\u003c\/p\u003e\n\u003cp\u003e풍부한 확장성: 4x USB 3.1 타입-A, 1x USB 타입-C (디바이스 모드), 1x HDMI, 1x DP, 2x CSI 카메라 커넥터, 1x RJ-45 GbE, CAN, 40핀 GPIO 헤더\u003c\/p\u003e\n\u003cp\u003e저장 및 무선 확장: M.2 키 M (NVMe, 128GB SSD 포함) 및 M.2 키 E (Wi-Fi 모듈용)\u003c\/p\u003e\n\u003cp\u003e가속화된 개발: JetPack 4.6.1 및 Linux BSP가 사전 설치되어 있으며, Jetson 소프트웨어 및 주요 AI 프레임워크를 지원합니다.\u003c\/p\u003e\n\u003cp\u003e플릿 배포 옵션: Allxon 및 Balena에서 제공하는 OTA 및 원격 관리 서비스를 지원합니다.\u003c\/p\u003e\n\u003cp\u003e유연한 맞춤화: reComputer J2022 디자인을 기반으로 한 액세서리, 로고 및 하드웨어 인터페이스 수정\u003c\/p\u003e\n\u003ch2\u003e사양\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI 성능\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\u003e48 텐서 코어가 있는 384코어 NVIDIA Volta 아키텍처 GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6코어 NVIDIA Carmel Arm v8.2 64비트 CPU, 6MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB 128비트 LPDDR4x, 59.7GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 인코더\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\u003e비디오 디코더\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\u003e스토리지\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key M PCIe (M.2 NVMe 2280 SSD 128GB 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 기가비트 이더넷 (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e무선 확장\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key 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 타입-A; 1x USB 타입-C (장치 모드)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e카메라\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2-레인, 15-핀)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e디스플레이\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\u003e팬\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4-핀 팬 커넥터 (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 \/ 확장\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40-핀 확장 헤더; 1x 12-핀 제어 및 UART 헤더\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-핀; RTC 소켓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원\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\u003e기계적\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130mm x 120mm x 58.5mm (케이스 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e설치\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e책상, 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 온도\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0℃~60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e소프트웨어\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e128GB NVMe SSD에 사전 설치된 JetPack 4.6.1 및 Linux OS BSP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003e참고 (GPIO):\u003c\/strong\u003e 1.2V와 2V 사이의 부동 전압을 유발하는 GPIO 라이브러리를 사용하면 캐리어 보드에서 GPIO 문제가 발생할 수 있습니다; 정상 전압은 3V여야 합니다.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e참고 (SSD 호환성):\u003c\/strong\u003e 최적의 성능을 위해 Seeed의 128GB \/ 256GB \/ 512GB \/ 1TB NVMe SSD를 사용하세요. 일부 SSD는 특정 JetPack 버전과만 호환될 수 있으며, 오작동을 일으킬 수 있습니다; 이 문제는 공식 NVIDIA 개발 키트에서도 발생할 수 있습니다.\u003c\/p\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ereComputer J2022 (시스템 설치됨) x1 — 전원 어댑터 미포함\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAI 비디오 분석\u003c\/li\u003e\n\u003cli\u003e기계 비전\u003c\/li\u003e\n\u003cli\u003e자율 이동 로봇 (AMR)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e다중 스트림 AI 비디오 분석\u003c\/h3\u003e\n\u003cp\u003eJetson Xavier NX는 NVIDIA 다중 표준 비디오 디코더를 통합하여 SD, HD 및 UltraHD (8K, 4K 등) 전반에 걸쳐 비디오 처리를 가속화하며, NVIDIA DeepStream 및 관련 툴체인을 사용하여 효율적인 다중 스트림 분석을 가능하게 합니다.\u003c\/p\u003ehtml\n\u003ch2\u003e문서\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 (전원 어댑터 없음) 데이터 시트\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 캐리어 보드 데이터 시트\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 장치 및 캐리어 보드 비교\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 하드웨어 카탈로그\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e인증\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\"\u003eEU 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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e하드웨어 개요\u003c\/h2\u003e\n\u003cp\u003e라벨이 붙은 커넥터가 있는 reComputer J202 캐리어 보드 포함: 4x USB 3.1, USB Type-C (장치), RJ-45 GbE, HDMI 및 DP, 2x MIPI-CSI 카메라 포트, 40핀 확장 헤더 (GPIO\/I2C\/UART), 12핀 제어 및 UART 헤더, 4핀 팬 헤더, CAN, RTC 2핀 및 소켓, M.2 키 E 및 M 슬롯, DC 전원 잭. 완전한 시스템은 알루미늄 인클로저 내에서 능동 냉각을 통합하여 데스크탑 또는 벽 장착 설치에 적합합니다.\u003c\/p\u003e\n\u003ch2\u003e세부정보\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 자비에 NX 16GB(전원 어댑터 제외)","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 (어댑터 미포함) NVIDIA Jetson Nano 4GB, 0.5 TOPS, 16GB eMMC, M.2 Key M 탑재 엣지 AI 컴퓨터","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003ereComputer J1020 v2 (전원 어댑터 제외)는 NVIDIA Jetson Nano 4GB 생산 모듈을 기반으로 한 엣지 AI 컴퓨터로, 손바닥 크기의 알루미늄 케이스에 수동 히트싱크가 장착되어 0.5 TOPS AI 성능을 제공합니다. JetPack 4.6.1이 사전 설치되어 있으며, 16 GB eMMC가 탑재되어 있고, 2개의 CSI 카메라 커넥터, 4개의 USB 3.0, HDMI, DP, SSD 확장을 위한 M.2 Key M 슬롯 등 풍부한 I\/O를 제공합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano 4GB 생산 모듈; 0.5 TOPS AI 성능\u003c\/li\u003e\n\u003cli\u003e사전 설치된 NVIDIA JetPack 4.6.1\u003c\/li\u003e\n\u003cli\u003e수동 히트싱크가 장착된 컴팩트 알루미늄 케이스\u003c\/li\u003e\n\u003cli\u003e온보드 16 GB eMMC 스토리지 및 SSD용 M.2 Key M PCIe\u003c\/li\u003e\n\u003cli\u003e풍부한 I\/O: 4개의 USB 3.0.0 타입 A, 2x CSI (2-레인 15핀), 1x HDMI 타입 A, 1x DP\u003c\/li\u003e\n\u003cli\u003e기가비트 이더넷 RJ-45 (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003e40핀 확장 헤더, 12핀 제어 \u0026앰프 및 UART 헤더, 4핀 팬 커넥터 (5V PWM), RTC\u003c\/li\u003e\n\u003cli\u003e전원 입력: 9–12V DC\u003c\/li\u003e\n\u003cli\u003e기계적 크기: 130 mm x 120 mm x 58.5 mm (케이스 포함); 책상 또는 벽 장착\u003c\/li\u003e\n\u003cli\u003e제품 이미지의 보드 하이라이트: USB 타입-C, PoE 마킹, CAN (비활성화), M.2 키 E (비활성화), DC 전원 잭\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\u003ctd colspan=\"3\"\u003e\u003cstrong\u003e제트슨 나노 4GB 시스템 온 모듈\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI 성능\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e제트슨 나노 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™ 아키텍처, 128 NVIDIA CUDA® 코어 탑재\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\"\u003e쿼드코어 ARM Cortex-A57 MPCore 프로세서\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e메모리\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e4 GB 64비트 LPDDR4, 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 인코더\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x 4K30 | 2x 1080p60 | 4x 1080p30 | 4x 720p60 | 9x 720p30 (H.265 \u0026및 H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e비디오 디코더\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 \u0026및 H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd colspan=\"3\"\u003e\u003cstrong\u003e캐리어 보드\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e저장소\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x M.2 Key M PCIe; 16 GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e네트워킹\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e이더넷\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 기가비트 이더넷 (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"5\"\u003e\u003cstrong\u003eI\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.0 타입-A; 1x 마이크로-USB 포트 (장치 모드용) (보드 이미지에는 USB 타입-C도 표시됨)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e카메라\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2x CSI (2-레인, 15-핀)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e디스플레이\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 타입 A; 1x DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e팬\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 4-핀 팬 커넥터 (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e확장\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x 40-핀 확장 헤더; 1x 12-핀 제어 \u0026앰프; UART 헤더; RTC 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e전원\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\u003e기계적\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e치수 (W x D x H)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e130 mm x 120 mm x 58.5 mm (케이스 포함)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e설치\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e책상, 벽 장착\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e작동 온도\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\u003e노트\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e공식 NVIDIA Jetson Nano 개발 키트는 EOL에 도달했습니다. reComputer J1020 v2는 Jetson Nano 개발 키트 사용자에게 대체 선택입니다.\u003c\/li\u003e\n\u003cli\u003e부유 전압(1.2V–2V)을 유도하는 GPIO 라이브러리는 GPIO 문제를 일으킬 수 있습니다; 정상 전압은 약 3V여야 합니다. 이 문제에 대해서는 보증이 적용되지 않습니다. 자세한 내용은 NVIDIA의 공식 문서를 참조하십시오.\u003c\/li\u003e\n\u003cli\u003e전원 어댑터가 포함된 버전이 필요한 경우, 다음을 참조하십시오: \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-J1020-v2-p-5498.html\" target=\"_blank\"\u003ereComputer J1020 v2 엣지 장치\u003c\/a\u003e.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e포함된 내용\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ereComputer J1020 v2 (시스템 설치됨) x1\u003c\/li\u003e\n\u003cli\u003e3V RTC 배터리 포함되지 않음\u003c\/li\u003e\n\u003cli\u003e이 SKU는 전원 어댑터 없이 배송됩니다.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e컴퓨터 비전\u003c\/li\u003e\n\u003cli\u003e기계 학습\u003c\/li\u003e\n\u003cli\u003e자율 이동 로봇 (AMR)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e문서\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer-J1020-v2-datasheet.pdf\" target=\"_blank\"\u003e데이터시트\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\"\u003e회로도\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 파일\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 제품 카탈로그\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 비교\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 제품 비교\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 성공 사례\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 원페이지\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e인증\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\"\u003eEUHSCODE\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\u003e중국\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\u003e하드웨어 개요\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 캐리어 보드\u003c\/strong\u003e\u003c\/a\u003e, 전체 시스템 reComputer J1020 v2에 포함되어 있습니다.데스크탑, 벽걸이, 확장 가능, 어디에나 적합합니다.\u003c\/p\u003e\u003ch2\u003e상세정보\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 v2는 NVIDIA Jetson Nano 4GB로 구동되는 엣지 AI 컴퓨터로, 0.5 TOPS AI 성능을 제공합니다. Jetson Nano B01 개발 키트의 대안으로 사용됩니다. 크기는 130mm x 120mm x 58.5mm(케이스 포함)이며, JetPack 4.6을 지원하고 9-12V DC 전원으로 작동합니다. 기능으로는 1x HDMI, 1x DP, 4x USB 3.0 Type-A, 및 1x Micro-USB(장치 모드용)가 포함되어 있습니다. SSD 저장을 위한 M.2 KEY M을 지원합니다. 로봇 공학 및 컴퓨터 비전 응용 프로그램을 위해 설계되었으며, 컴팩트하고 고성능 컴퓨팅이 필요한 AI 기반 프로젝트에 적합합니다.\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\u003e이 제품은 비활성 모드의 제어 및 UART CAN 헤더, RTC 2핀 팬 헤더, MIPI-CSI 카메라 커넥터를 특징으로 합니다. 또한 GPIO, I2C 및 UART 프로토콜을 지원하는 Quinno 40핀 확장 헤더가 포함되어 있습니다. 추가로 USB3를 위한 ISeeD 260핀 SODIMM 인터페이스가 있습니다.0 연결성, 네 개의 포트, POE 기가비트 이더넷 포트, 디스플레이 및 HDMI 커넥터, LED 라이트 인디케이터, DC 전원 잭, 그리고 단일 USB Type-C 포트.\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 엣지 AI 컴퓨터는 M.2 KEY E (비활성화됨), M.2 KEY M, RTC 소켓, 여러 커넥터, CE, FCC, RoHS 인증 및 Seeed Studio 브랜드를 포함합니다.\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 전원 어댑터 미포함","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 및 Raspberry Pi CM4용 IMX219 M12\/CS 마운트 CMOS 카메라 모듈, 8MP 3280×2464, 1080p30, 15\/22핀 CSI","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003e이 IMX219 M12\/CS 마운트 CMOS 카메라 모듈은 Sony IMX219 8메가픽셀 백일루미네이티드 센서를 기반으로 하며 Nvidia Jetson 및 Raspberry Pi CM4 플랫폼을 위해 설계되었습니다. 2-in-1 마운트를 통해 교환 가능한 M12 및 CS-마운트 렌즈를 지원하며, 유연한 통합을 위해 15핀 및 22핀 옵션의 이중 CSI(카메라 직렬 인터페이스) 연결을 제공합니다. 최대 3280 × 2464의 정지 이미지와 1080p30, 720p60, 640×480p90의 비디오를 제공합니다. CS-투-C 5mm 어댑터 링을 사용하면 C-마운트 렌즈도 사용할 수 있습니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e다양한 렌즈 선택: M12 \u0026및 CS-마운트 렌즈 지원.\u003c\/li\u003e\u003cli\u003e소니 MX219 센서: 8메가픽셀 백일루미네이티드 CMOS로 뛰어난 감도 제공\u003c\/li\u003e\n\u003cli\u003e고해상도: 3280 x 2464 픽셀 정적 이미지 지원\u003c\/li\u003e\n\u003cli\u003e우수한 비디오 성능: 1080p30, 720p60 및 640x480p90에서 캡처 가능\u003c\/li\u003e\n\u003cli\u003e통합 용이: 15\/22핀 CSI(카메라 직렬 인터페이스) 지원\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e센서\u003c\/td\u003e\n\u003ctd\u003e소니 IMX219 백일루미네이티드 센서\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메가픽셀\u003c\/td\u003e\n\u003ctd\u003e8 메가픽셀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센서 해상도\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464 픽셀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센서 이미지 영역\u003c\/td\u003e\n\u003ctd\u003e3.68 x 2.76 mm (대각선 4.6 mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e대각선\u003c\/td\u003e\n\u003ctd\u003e4.60mm (타입 1\/4.0)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e픽셀 크기\u003c\/td\u003e\n\u003ctd\u003e1.12 µm x 1.12 µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 모드\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 포트\u003c\/td\u003e\n\u003ctd\u003e15핀 및 22핀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e인터페이스\u003c\/td\u003e\n\u003ctd\u003e15p-1.0 mipi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 전원 공급 장치\u003c\/td\u003e\n\u003ctd\u003e3.3v(pin15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e감도\u003c\/td\u003e\n\u003ctd\u003e600mV\/Lux-sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e최대 이미지 전송 속도\u003c\/td\u003e\n\u003ctd\u003eQSXGA에서 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e출력 형식\u003c\/td\u003e\n\u003ctd\u003e8\/10비트 RGB RAW 출력\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eS\/N 비율\u003c\/td\u003e\n\u003ctd\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e다이내믹 레인지\u003c\/td\u003e\n\u003ctd\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e렌즈 마운트\u003c\/td\u003e\n\u003ctd\u003eM12 및 CS 마운트 지원; 5mm CS-to-C 어댑터 링을 통한 C 마운트\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e모듈 크기\u003c\/td\u003e\n\u003ctd\u003e38 x 38 x 16mm (렌즈 제외)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e비교\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e\u003c\/th\u003e\n\u003cth\u003e카메라 모듈 v2\u003c\/th\u003e\n\u003cth\u003e고품질 카메라\u003c\/th\u003e\n\u003cth\u003eIMX 219 CMOS 카메라 모듈\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e정지 해상도\u003c\/td\u003e\n\u003ctd\u003e8 메가픽셀\u003c\/td\u003e\n\u003ctd\u003e12.3 메가픽셀\u003c\/td\u003e\n\u003ctd\u003e8 메가픽셀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 모드\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\u003e센서\u003c\/td\u003e\n\u003ctd\u003e소니 IMX219\u003c\/td\u003e\n\u003ctd\u003e소니 IMX477\u003c\/td\u003e\n\u003ctd\u003e소니 IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센서 해상도\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464 픽셀\u003c\/td\u003e\n\u003ctd\u003e4056 x 3040 픽셀\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464 픽셀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e센서 이미지 영역\u003c\/td\u003e\n\u003ctd\u003e3.68 x 2.76 mm (대각선 4.6 mm)\u003c\/td\u003e\n\u003ctd\u003e6.287mm x 4.712 mm (대각선 7.9mm)\u003c\/td\u003e\n\u003ctd\u003e3.68 x 2.76 mm (대각선 4.6 mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e픽셀 크기\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\u003e초점 거리\u003c\/td\u003e\n\u003ctd\u003e3.04 mm\u003c\/td\u003e\n\u003ctd\u003e렌즈에 따라 다름\u003c\/td\u003e\n\u003ctd\u003e렌즈에 따라 다름\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e수평 FOV\u003c\/td\u003e\n\u003ctd\u003e62.2도\u003c\/td\u003e\n\u003ctd\u003e렌즈에 따라 다름\u003c\/td\u003e\n\u003ctd\u003e렌즈에 따라 다름\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e수직 FOV\u003c\/td\u003e\n\u003ctd\u003e48.8도\u003c\/td\u003e\n\u003ctd\u003e렌즈에 따라 다름\u003c\/td\u003e\n\u003ctd\u003e렌즈에 따라 다름\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e초점 비율 (F-스톱)\u003c\/td\u003e\n\u003ctd\u003e2.0\u003c\/td\u003e\n\u003ctd\u003e렌즈에 따라 다름\u003c\/td\u003e\n\u003ctd\u003e렌즈에 따라 다름\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e크기\u003c\/td\u003e\n\u003ctd\u003e25 x 23 x 9mm\u003c\/td\u003e\n\u003ctd\u003e38 x 38 x 18.4mm (렌즈 제외)\u003c\/td\u003e\n\u003ctd\u003e38 x 38 x 16mm (렌즈 제외)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDIY 스포츠 카메라용 광각 렌즈\u003c\/li\u003e\n\u003cli\u003e감시 시스템 모니터링\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e노트 \u0026및 안전\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eRaspberry Pi의 경우, 이 모듈은 Raspberry Pi CM4(Compute Module 4)가 장착된 개발 보드만 지원합니다.\u003c\/li\u003e\n\u003cli\u003e이 모듈은 Nvidia Jetson 시리즈를 지원합니다.\u003c\/li\u003e\u003cli\u003e위험: 카메라 모듈을 연결하기 전에 CSI 핀 정의를 다시 확인해 주십시오. 그렇지 않으면 FFC(플렉시블 플랫 케이블) 또는 구성 요소에 손상을 줄 수 있습니다.\u003c\/li\u003e\n\u003cli\u003e렌즈가 부착되지 않은 경우 모듈의 먼지 캡이 밀봉되어 있는지 확인해 주십시오.\u003c\/li\u003e\n\u003cli\u003e우리는 Raspberry Pi 카메라 모듈 3을 출시했습니다. 공급업체 링크를 통해 자세히 알아보세요.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e자주 묻는 질문\u003c\/h2\u003e\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003e이 모듈은 Raspberry Pi CM4 외에 다른 Raspberry Pi 보드에 연결할 수 있습니까?\u003c\/strong\u003e\u003cbr\u003e아니요, 이 모듈은 캐리어 보드와 함께 Raspberry Pi CM4만 지원합니다.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e이 모듈에 C 마운트 렌즈를 부착할 수 있습니까?\u003c\/strong\u003e\u003cbr\u003e네, 5mm 어댑터 링이 있으면 C 마운트 렌즈를 이 모듈의 CS 마운트에 부착할 수 있습니다.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e이 모듈은 Jetson nano에 연결할 수 있습니까?\u003c\/strong\u003e\u003cbr\u003e아니요, 이 모듈은 Jetson 캐리어 보드에 연결됩니다.\u003c\/li\u003e\u003c\/ol\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e1x IMX 219 카메라 센서 모듈\u003c\/li\u003e\n\u003cli\u003e1x CS 렌즈 마운트\u003c\/li\u003e\n\u003cli\u003e1x M12 렌즈 마운트\u003c\/li\u003e\n\u003cli\u003e1x 15핀 125mm (4.92인치) FFC (플렉시블 플랫 케이블)\u003c\/li\u003e\n\u003cli\u003e1x 22핀 150mm (5.9인치) FFC\u003c\/li\u003e\n\u003cli\u003e1x 먼지 캡\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCSI 15핀 정의 표\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e번호\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\u003e기호\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\u003e번호\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\u003e기호\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 핀 정의 표\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e번호\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\u003e기호\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\u003e번호\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\u003e기호\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\u003e인증\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\"\u003eEU 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\"\u003eUK DoC\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8525891900\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\u003eCOO\u003c\/td\u003e\n\u003ctd\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e세부사항\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 카메라 모듈, 160° 시야각, IR LED – NVIDIA Jetson Nano\/Xavier NX 개발 키트용","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eIMX219-160IR 8MP 카메라 모듈은 NVIDIA Jetson Nano 및 NVIDIA Jetson Xavier NX 개발 키트를 위해 설계되었습니다. 이 모듈은 160도 대각선 시야(FOV)를 제공하며, 야간 촬영을 가능하게 하는 두 개의 IR LED 모듈을 통합하고 있습니다. Sony IMX219 센서를 기반으로 하며, 최대 3280 × 2464 해상도를 지원하고 Jetson 플랫폼의 머신 비전 프로젝트에 적합합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e8메가픽셀 Sony IMX219 이미지 센서\u003c\/li\u003e\n\u003cli\u003e해상도: 3280 × 2464\u003c\/li\u003e\n\u003cli\u003e160° 대각선 FOV 광각 렌즈\u003c\/li\u003e\n\u003cli\u003e야간 촬영을 위한 두 개의 IR LED 모듈\u003c\/li\u003e\n\u003cli\u003e고정 초점 광학 및 IR 필터\u003c\/li\u003e\n\u003cli\u003eNVIDIA Jetson Nano\u003ca href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Nano-Development-Kit-B01-p-4437.html\" target=\"_blank\"\u003e 및 \u003c\/a\u003eNVIDIA Jetson Xavier NX\u003ca href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Xavier-NX-Developer-Kit-p-4573.html\" target=\"_blank\"\u003e 개발 키트와 호환\u003c\/a\u003e됩니다.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e설명\u003c\/h2\u003e\u003cp\u003e이 8MP 카메라 모듈은 넓은 영역 캡처를 위한 160° 대각선 FOV를 제공하며, 야간 촬영을 가능하게 하는 두 개의 IR LED를 포함하고 있습니다.어두운 환경이나 저조도 환경에서 IR LED는 인간의 눈에는 보이지 않지만 카메라에 의해 감지되는 적외선을 방출하여 단색 비디오를 제공합니다. Jetson Nano\/Xavier NX 개발 키트와 결합하면 실용적인 머신 비전과 까다로운 프로젝트를 위한 고품질 비디오 캡처가 가능합니다.\u003c\/p\u003e\u003ch2\u003e더 많은 카메라가 NVIDIA Jetson Nano\/Xavier NX 개발 키트와 호환됩니다\u003c\/h2\u003e\u003cp\u003e다음 옵션을 탐색하여 귀하의 애플리케이션에 가장 적합한 카메라를 선택하십시오:\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\u003e대각선 시야(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 모듈\u003c\/td\u003e\n\u003ctd\u003e없음\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e없음\u003c\/td\u003e\n\u003ctd\u003e없음\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e없음\u003c\/td\u003e\n\u003ctd\u003e없음\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e조리개\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\u003e초점 거리\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\u003e렌즈 구성\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\u003e왜곡\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 (광학)\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\u003e사양\u003c\/h2\u003e\u003ch3\u003e드라이버 보드가 포함된 카메라 모듈\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e사양\u003c\/th\u003e\n\u003cth\u003e설명\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e메가픽셀\u003c\/td\u003e\n\u003ctd\u003e8 메가픽셀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e광감지 칩\u003c\/td\u003e\n\u003ctd\u003e소니 IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e조립 기술\u003c\/td\u003e\n\u003ctd\u003eSMT (ROSH)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e해상도\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e픽셀 크기\u003c\/td\u003e\n\u003ctd\u003e1.12µm x1.12µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCMOS 크기\u003c\/td\u003e\n\u003ctd\u003e1\/4 인치\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e조리개 (F)\u003c\/td\u003e\n\u003ctd\u003e2.35\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e초점\u003c\/td\u003e\n\u003ctd\u003e고정\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e초점 거리\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e렌즈 구성\u003c\/td\u003e\n\u003ctd\u003e6G+IR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e대각선 시야각 (FOV)\u003c\/td\u003e\n\u003ctd\u003e160도\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e왜곡\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 (광학)\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e최대 이미지 전송 속도\u003c\/td\u003e\n\u003ctd\u003eQSXGA에서 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e출력 형식\u003c\/td\u003e\n\u003ctd\u003e8\/10비트 RGB RAW 출력\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eS\/N 비율\u003c\/td\u003e\n\u003ctd\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e다이나믹 레인지\u003c\/td\u003e\n\u003ctd\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e감도\u003c\/td\u003e\n\u003ctd\u003e600mV\/Lux-sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e상대 조도 (센서)\u003c\/td\u003e\n\u003ctd\u003e70%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIR 필터\u003c\/td\u003e\n\u003ctd\u003e650±10nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e물체 거리\u003c\/td\u003e\n\u003ctd\u003e30CM-∞\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e인터페이스\u003c\/td\u003e\n\u003ctd\u003e15p-1.0 mipi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 공급\u003c\/td\u003e\n\u003ctd\u003e3.3V (핀15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e-20°C에서 70°C까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e온도 (안정된 이미지)\u003c\/td\u003e\n\u003ctd\u003e0°C에서 50°C까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e렌즈 크기\u003c\/td\u003e\n\u003ctd\u003e6.5mm × 6.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e모듈 크기\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 모듈\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e사양\u003c\/th\u003e\n\u003cth\u003e설명\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED 파장\u003c\/td\u003e\n\u003ctd\u003e845nm-855nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED 모듈 FOV\u003c\/td\u003e\n\u003ctd\u003e100°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 전류\u003c\/td\u003e\n\u003ctd\u003e200ma (최대 450ma)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전력\u003c\/td\u003e\n\u003ctd\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전력 소비\u003c\/td\u003e\n\u003ctd\u003e660mw (최대 1.48W)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e모듈 크기\u003c\/td\u003e\n\u003ctd\u003e27.94mm × 19.82mm × 15.05mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e-20°C에서 70°C까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e저장 온도\u003c\/td\u003e\n\u003ctd\u003e0°C에서 60°C까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e조립 기술\u003c\/td\u003e\n\u003ctd\u003eSMT (ROSH)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003e포함된 내용\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e1 × IMX219-160IR 8MP IR 야간 투시 카메라 (160° FOV) - NVIDIA Jetson Nano\/Xavier NX와 호환 가능\u003c\/li\u003e\n\u003cli\u003e2 × IR LED 모듈\u003c\/li\u003e\n\u003cli\u003e4 × 나사\u003c\/li\u003e\n\u003cli\u003e4 × 너트\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eIR 조명을 이용한 야간 투시 이미지\u003c\/li\u003e\n\u003cli\u003eNVIDIA Jetson Nano\/Xavier NX에서의 광각 머신 비전\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e인증\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e상세정보\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 카메라 모듈, 77° 시야각, NVIDIA Jetson Nano\/Xavier NX 호환, 3280×2464, MIPI","description":"\u003ch2\u003e개요\u003c\/h2\u003e\n\u003cp\u003eIMX219-77 8MP 카메라 모듈은 77°의 시야각을 가지고 있으며 NVIDIA Jetson Nano 및 NVIDIA Jetson Xavier NX 개발 키트와 호환됩니다. 이 모듈은 Sony IMX219 이미지 센서를 사용하며, 임베디드 AI 및 머신 비전 프로젝트를 위한 고해상도 정지 이미지 및 비디오를 지원합니다.\u003c\/p\u003e\n\u003ch2\u003e주요 특징\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e8메가픽셀 Sony IMX219 이미지 센서를 갖춘 고품질 카메라\u003c\/li\u003e\n\u003cli\u003e3280 × 2464의 고해상도로 이미지를 볼 수 있는 기능\u003c\/li\u003e\n\u003cli\u003e더 넓은 영역을 캡처할 수 있는 높은 시야각(FOV)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e설명\u003c\/h2\u003e\n\u003cp\u003e이 카메라는 77도 시야각(FOV)을 가진 8메가픽셀 카메라로, \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 및 \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 개발 키트와 함께 사용하기에 적합합니다. 이 카메라를 사용하면 Jetson Nano\/Xavier NX 개발 키트와 결합하여 머신 비전 프로젝트를 간단히 실현할 수 있습니다.또한, 이 카메라로 더 나은 품질의 비디오 캡처를 경험하고 더 까다로운 프로젝트를 구축할 수 있습니다!\u003c\/p\u003e\n\u003ch2\u003eNVIDIA Jetson Nano\/ Xavier NX 개발 키트와 호환되는 더 많은 카메라\u003c\/h2\u003e\n\u003cp\u003e프로젝트에 가장 적합한 카메라를 선택할 수 있는 더 많은 자유를 드리고자 합니다. 아래 표를 탐색하여 더 많은 카메라에 대해 알아보고 더 나은 결정을 내리세요.\u003c\/p\u003ehtml\n\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\"\u003e대각선 시야(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 모듈\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e없음\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e없음\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e없음\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e없음\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e없음\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003e조리개\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\"\u003e초점 거리\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2.\n96mm\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\"\u003e렌즈 구조\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\"\u003e왜곡\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 (광학)\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\u003e사양\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\"\u003e사양\u003c\/th\u003e\n\u003cth class=\"tg-u1yq\"\u003e설명\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e메가픽셀\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e8 메가픽셀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e광감지 칩\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e소니 IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e조립 기술\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\"\u003e해상도\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\"\u003e픽셀 크기\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 크기\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1\/4 인치\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e조리개 (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\"\u003e초점\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e고정\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e초점 거리\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\"\u003e렌즈 구성\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e4P\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e대각선 시야각 (FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e77도\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e왜곡\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 (광학)\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\"\u003e최대 이미지 전송 속도\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003eQSXGA에서 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e출력 형식\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e8\/10비트 RGB RAW 출력\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eS\/N 비율\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e다이나믹 레인지\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e감도\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e600mV\/Lux-sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e상대 조도 (센서)\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 필터\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\"\u003e물체 거리\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e30CM-∞\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e인터페이스\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\"\u003e전원 공급\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3.3V (핀15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e작동 온도\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e-20°C에서 70°C까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e온도 (안정적인 이미지)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e0°C에서 50°C까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e렌즈 크기\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\"\u003e모듈 크기\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\u003e포함된 내용\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x IMX219-77 8MP 카메라, 77° FOV - NVIDIA Jetson Nano와 호환\u003c\/li\u003e\n\u003cli\u003e1 x 150mm FPC 케이블\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e응용 분야\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Nano\/ Xavier NX에서의 머신 비전 프로젝트\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e인증\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\u003e중국\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° 스테레오","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 카메라 모듈, 130° 시야각, Sony IMX219, NVIDIA Jetson Nano\/Xavier NX용, 3280×2464, f\/1.8, 고정 초점","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eIMX219-130 8MP 카메라 모듈은 NVIDIA Jetson Nano 및 NVIDIA Jetson Xavier NX 개발 키트를 위해 설계되었습니다. 이 모듈은 Sony IMX219 이미지 센서를 특징으로 하며, 130° 대각선 시야각과 3280 × 2464 정지 해상도를 제공하여 머신 비전 프로젝트 및 Jetson 플랫폼에서 고품질 비디오 캡처에 적합합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e8 메가픽셀 Sony IMX219 이미지 센서\u003c\/li\u003e\n\u003cli\u003e정지 해상도: 3280 × 2464\u003c\/li\u003e\n\u003cli\u003e더 넓은 장면을 캡처할 수 있는 130° 대각선 FOV\u003c\/li\u003e\n\u003cli\u003e조리개 (F): 1.8\u003c\/li\u003e\n\u003cli\u003e고정 초점; 초점 거리: 1.88mm\u003c\/li\u003e\n\u003cli\u003e렌즈 구성: 4E+IR 및 IR 필터 650±10nm\u003c\/li\u003e\n\u003cli\u003eQSXGA에서 최대 30 fps\u003c\/li\u003e\n\u003cli\u003e8\/10비트 RGB RAW 출력\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eNVIDIA Jetson Nano\/ Xavier NX 개발 키트와 호환되는 더 많은 카메라\u003c\/h2\u003e\u003cp\u003e프로젝트에 가장 적합한 모듈을 선택하기 위해 추가 카메라 옵션을 탐색하세요.\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\"\u003e대각선 시야(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 모듈\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e없음\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e없음\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e없음\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e2\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e없음\u003c\/td\u003e\n\u003ctd class=\"tg-wp8o\"\u003e없음\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-k7ar\"\u003e조리개\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\"\u003e초점 거리\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\"\u003e렌즈 구성\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\"\u003e왜곡\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 (광학)\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\u003e사양\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\"\u003e사양\u003c\/th\u003e\n\u003cth class=\"tg-u1yq\"\u003e설명\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e메가픽셀\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e8 메가픽셀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e광감지 칩\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e소니 IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e조립 기술\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\"\u003e해상도\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\"\u003e픽셀 크기\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 크기\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e1\/4 인치\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e조리개 (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\"\u003e초점\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e고정\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e초점 거리\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\"\u003e렌즈 구성\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\"\u003e대각선 시야각 (FOV)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e130도\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e왜곡\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 (광학)\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\"\u003e최대 이미지 전송 속도\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\"\u003e출력 형식\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e8\/10비트 RGB RAW 출력\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003eS\/N 비율\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e다이나믹 레인지\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e감도\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e600mV\/Lux-sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e상대 조도 (센서)\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 필터\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\"\u003e물체 거리\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e30CM-∞\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e인터페이스\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\"\u003e전원 공급\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e3.3V (핀15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e작동 온도\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e-20°C에서 70°C까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e온도 (안정적인 이미지)\u003c\/td\u003e\n\u003ctd class=\"tg-baqh\"\u003e0°C에서 50°C까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tg-baqh\"\u003e렌즈 크기\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\"\u003e모듈 크기\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\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e1 × IMX219-130 8MP 카메라 (130° FOV) - NVIDIA Jetson Nano\/ Xavier NX와 호환 가능\u003c\/li\u003e\n\u003cli\u003e1 × 150mm FPC 케이블\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 분야\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Nano\/ Xavier NX에서의 머신 비전 프로젝트\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e인증\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003ch2\u003e상세정보\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 카메라 모듈, 160° 시야각, Sony IMX219 – NVIDIA Jetson Nano 및 Xavier NX 호환 \u0026","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eIMX219-160 8MP 카메라 모듈은 NVIDIA Jetson Nano 및 NVIDIA Jetson Xavier NX 개발 키트를 위해 설계된 광각 카메라 모듈입니다. 이 모듈은 Sony IMX219 이미지 센서를 사용하며, 최대 해상도는 3280 × 2464를 제공하고, 160° 대각선 시야각으로 더 넓은 장면 커버리지를 제공합니다. 모듈은 고정 초점 광학, 6G+IR 렌즈 구조 및 MIPI 출력을 특징으로 하여 머신 비전 및 비디오 캡처 프로젝트에 쉽게 통합할 수 있습니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e8메가픽셀 Sony IMX219 이미지 센서\u003c\/li\u003e\n\u003cli\u003e3280 × 2464의 고해상도 이미지 촬영\u003c\/li\u003e\n\u003cli\u003e160° 대각선 FOV로 더 넓은 영역 캡처\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e사양\u003c\/th\u003e\n\u003cth\u003e설명\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e메가픽셀\u003c\/td\u003e\n\u003ctd\u003e8 메가픽셀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e광감지 칩\u003c\/td\u003e\n\u003ctd\u003eSony IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e조립 기술\u003c\/td\u003e\n\u003ctd\u003eSMT (ROSH)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e해상도\u003c\/td\u003e\n\u003ctd\u003e3280 × 2464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e픽셀 크기\u003c\/td\u003e\n\u003ctd\u003e1.12µm x1.12µm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCMOS 크기\u003c\/td\u003e\n\u003ctd\u003e1\/4 인치\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e조리개 (F)\u003c\/td\u003e\n\u003ctd\u003e2.35\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e초점\u003c\/td\u003e\n\u003ctd\u003e고정\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e초점 거리\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e렌즈 구성\u003c\/td\u003e\n\u003ctd\u003e6G+IR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e대각선 시야각 (FOV)\u003c\/td\u003e\n\u003ctd\u003e160도\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e왜곡\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 (광학)\u003c\/td\u003e\n\u003ctd\u003e3.15mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e최대 이미지 전송 속도\u003c\/td\u003e\n\u003ctd\u003e30 fps for QSXGA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e출력 형식\u003c\/td\u003e\n\u003ctd\u003e8\/10비트 RGB RAW 출력\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eS\/N 비율\u003c\/td\u003e\n\u003ctd\u003e39db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e다이나믹 레인지\u003c\/td\u003e\n\u003ctd\u003e69db\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e감도\u003c\/td\u003e\n\u003ctd\u003e600mV\/Lux-sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e상대 조도 (센서)\u003c\/td\u003e\n\u003ctd\u003e70%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIR 필터\u003c\/td\u003e\n\u003ctd\u003e650±10nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e물체 거리\u003c\/td\u003e\n\u003ctd\u003e30CM-∞\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e인터페이스\u003c\/td\u003e\n\u003ctd\u003e15p-1.0 mipi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 공급\u003c\/td\u003e\n\u003ctd\u003e3.3V (핀15)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e-20°C에서 70°C까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e온도 (안정적인 이미지)\u003c\/td\u003e\n\u003ctd\u003e0°C에서 50°C까지\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e렌즈 크기\u003c\/td\u003e\n\u003ctd\u003e6.5mm × 6.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e모듈 크기\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 개발 키트와 호환되는 더 많은 카메라\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\u003e대각선 시야(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 모듈\u003c\/td\u003e\n\u003ctd\u003e없음\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e없음\u003c\/td\u003e\n\u003ctd\u003e없음\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e없음\u003c\/td\u003e\n\u003ctd\u003e없음\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e조리개\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\u003e초점 거리\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\u003e렌즈 구성\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\u003e왜곡\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 (광학)\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\u003e포함된 내용\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e1 × IMX219-160 8MP 카메라, 160° FOV - NVIDIA Jetson Nano\/ Xavier NX와 호환\u003c\/li\u003e\n\u003cli\u003e1 × 150mm FPC 케이블\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e인증\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\u003e중국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e세부사항\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 개발 키트(Gemini 2 RGB‑D 카메라 포함) \u0026 NVIDIA Jetson Nano, PoE, 0.15–10m 깊이","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eOrbbec Persee N1은 Orbbec와 NVIDIA가 공동 개발한 3D 개발 키트입니다. 이 키트는 Gemini 2 RGB-D 스테레오 카메라와 NVIDIA Jetson Nano 쿼드 코어 ARM A57 @ 1.43 GHz 플랫폼, 그리고 Orbbec의 깊이 처리 ASIC을 통합하고 있습니다. 이 키트는 다양한 Orbbec 3D 카메라와 NVIDIA 컴퓨팅 플랫폼의 유연한 통합을 지원하며, 로봇 공학, 스마트 차량 및 인간 재구성 제어를 위한 산업 표준 인터페이스를 제공합니다. 소프트웨어 지원에는 NVIDIA Jetpack, VisionWorks 및 DeepStream이 포함되어 있으며, 이는 모션 감지, 장애물 회피 및 부피 측정과 같은 3D 프로젝트의 개발, 검증, 배포 및 최적화를 위한 것입니다. 실내\/반실외 작동을 위해 0℃ ~ 40℃로 평가됩니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA® Jetson Nano™ 쿼드 코어 ARM A57 @ 1.43 GHz\u003c\/li\u003e\n\u003cli\u003e850nm 조명을 사용하는 능동 스테레오 IR 깊이 기술\u003c\/li\u003e\n\u003cli\u003e0에서 고품질 깊이 데이터 출력15–10 m\u003c\/li\u003e\n\u003cli\u003e깊이: 최대 1280×800 @ 30 fps; RGB: 최대 1920×1080 @ 30 fps\u003c\/li\u003e\n\u003cli\u003ePOE (이더넷 전원 공급), USB, HDMI; 기가비트 이더넷\u003c\/li\u003e\n\u003cli\u003eMicroSD 및 M.2를 통한 메모리 확장\u003c\/li\u003e\n\u003cli\u003e실내\/반실외 작동: 0℃ ~ 40℃; 5%–95% RH\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e모델\u003c\/td\u003e\n\u003ctd\u003e4GB RAM + 16GB 저장소\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e깊이 기술\u003c\/td\u003e\n\u003ctd\u003e능동 스테레오 IR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e파장\u003c\/td\u003e\n\u003ctd\u003e850nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e깊이 범위\u003c\/td\u003e\n\u003ctd\u003e0.15–10 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e깊이 해상도 \/ 프레임 속도\u003c\/td\u003e\n\u003ctd\u003e최대 1280×800 @ 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e깊이 FoV\u003c\/td\u003e\n\u003ctd\u003e수평 91°; 수직 66°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRGB 해상도 \/ 프레임 속도\u003c\/td\u003e\n\u003ctd\u003e최대 1920×1080 @ 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRGB FoV\u003c\/td\u003e\n\u003ctd\u003e수평 86°; 수직 55°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e프로세서\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Nano 쿼드 코어 ARM A57 @ 1.43 GHz; 깊이 처리를 위한 Orbbec ASIC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSDK \/ OS\u003c\/td\u003e\n\u003ctd\u003eOrbbec SDK; 내장형 Ubuntu 18.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM \/ 저장소\u003c\/td\u003e\n\u003ctd\u003e4GB \/ 16GB 확장 슬롯 포함\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWiFi \/ BT\u003c\/td\u003e\n\u003ctd\u003e해당 없음\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e마이크\u003c\/td\u003e\n\u003ctd\u003e해당 없음\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전원 입력\u003c\/td\u003e\n\u003ctd\u003eDC 12V\/3A 또는 PoE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e포트\u003c\/td\u003e\n\u003ctd\u003eUSB 3.0 Type‑A × 2; USB 2.0 Type‑A × 2; USB Type‑C (장치 모드 전용); 기가비트 이더넷(PoE 지원); HDMI; DisplayPort; MicroSD; M.2 확장 슬롯\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 환경\u003c\/td\u003e\n\u003ctd\u003e실내\/반실외; 5%–95% RH; 0℃ ~ 40℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e치수 (W×H×D)\u003c\/td\u003e\n\u003ctd\u003e200mm × 100mm × 90mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무게\u003c\/td\u003e\n\u003ctd\u003e986g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePersee N1 컴퓨트 베이스\u003c\/li\u003e\n\u003cli\u003eGemini 2 3D 카메라\u003c\/li\u003e\n\u003cli\u003eHDMI 케이블 (1.5M)\u003c\/li\u003e\n\u003cli\u003e12V 3A 전원 어댑터 (교체 가능한 커넥터: 미국)\u003c\/li\u003e\n\u003cli\u003e나사 (M3 × 4) × 2\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003ch3\u003e치수 측정\u003c\/h3\u003e\u003cp\u003e물류 및 배송을 위한 정확한 패키지 치수 측정.\u003c\/p\u003e\u003ch3\u003e인원 수 집계 \u0026및 참여\u003c\/h3\u003e\u003cp\u003e공간 내 인원 수를 추적하고 집계하여 유동 인구 및 점유율을 모니터링합니다.\u003c\/p\u003e\u003ch3\u003e바디 스캔\u003c\/h3\u003e\u003cp\u003e건강 및 신체 구성 모니터링을 위한 전신 RGB-D 스캐닝.\u003c\/p\u003e\u003ch3\u003e로봇 공학 \u0026및 스마트 차량\u003c\/h3\u003e\u003cp\u003e모션 감지, 장애물 회피 및 환경 인식을 가능하게 합니다.\u003c\/p\u003e\u003ch2\u003e비디오\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\u003e상세정보\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 N1은 NVIDIA Jetson, Orbbec Gemini 2 스테레오 IR 카메라 및 Ubuntu OS가 포함된 3D 비전 카메라-컴퓨터 키트입니다. 간편한 설정, 깊이 처리, HDMI\/USB 포트, PoE, 확장 가능한 저장소를 제공하며, 0°C에서 40°C까지 작동합니다.\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 N1은 0.15–10m 범위의 능동 스테레오 IR(850nm)을 사용하며, 해상도는 1280×800@30fps depth입니다. NVIDIA Jetson Nano, 4GB RAM, 16GB 저장소, Ubuntu 18.04로 구동됩니다. 크기: 200×100×90mm, 무게: 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\u003e다양한 응용 프로그램을 제공합니다: 치수 측정은 3D 카메라를 사용하여 패키지 크기를 정확하게 측정하여 물류를 개선합니다.사람 수 세기 및 참여 추적은 깊이 감지를 통해 개인을 모니터링하고 발길 수 및 점유율을 감시합니다. 바디 스캔은 3D 전신 이미징을 통해 포괄적인 건강 및 신체 구성 분석을 가능하게 하여 지속적인 건강 추적을 지원합니다. 각 애플리케이션은 정밀한 측정, 실시간 모니터링 및 다양한 환경에서의 상세 스캔을 위해 고급 카메라 기능을 활용합니다.\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\u003eGemini 2 RGB-D 카메라와 NVIDIA Jetson 플랫폼을 결합한 올인원 모듈형 장치는 AI 개발 및 대규모 클라우드 기반 배포를 가능하게 합니다. 맞춤형 ASIC으로 구동되는 산업 검증 스테레오 비전 카메라는 최대 101°의 깊이 시야를 제공하며, 블라인드 스팟 없이 최대 10미터까지 정확한 깊이 측정을 제공합니다. 이 통합 솔루션은 신뢰할 수 있는 성능과 고급 비전 기능으로 엣지 AI 및 로봇 응용 프로그램을 지원합니다.\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\u003e인터페이스는 모니터, 액세서리, 전원 및 데이터에 연결됩니다.HDMI 및 USB 포트는 모니터와 키보드에 쉽게 연결할 수 있습니다. 여러 개의 USB 포트는 데이터 전송을 제공하며, POE 포트는 데이터와 전원을 결합합니다. MicroSD 및 M.2 슬롯은 메모리 확장을 지원합니다. NVIDIA Jetson Nano와 Ubuntu로 구동되는 이 컴퓨터는 40°C 온도 범위 내에서 신뢰할 수 있는 성능을 위해 능동 냉각 기능을 갖추고 실내외에서 작동합니다.\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":"NVIDIA Jetson Orin Nano SUPER\/Orin NX SUPER \u0026 Xavier용 PWM 조절식 쿨링 팬 히트싱크 라디에이터","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003e이 PWM 조절 가능한 쿨링 팬 히트싱크 라디에이터는 NVIDIA Jetson Orin Nano SUPER, Jetson Orin NX SUPER 및 Jetson Xavier 보드를 위해 설계되었으며, 속도 조절이 가능한 쿨링 팬과 금속 히트 싱크를 결합하여 고부하 작동 중 효율적인 열 방출을 지원합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e안정적인 작동을 위한 효율적인 열 방출\u003c\/li\u003e\n\u003cli\u003e지능형 PWM 속도 조절\u003c\/li\u003e\n\u003cli\u003e지원되는 Jetson 보드에 대한 정확한 호환성과 쉬운 설치\u003c\/li\u003e\n\u003cli\u003e내구성을 위한 고품질 재료\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson 플랫폼에서의 AI 추론 작업\u003c\/li\u003e\n\u003cli\u003e엣지 컴퓨팅 프로젝트\u003c\/li\u003e\n\u003cli\u003eJetson Orin\/Xavier 보드를 사용한 로봇 개발\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e구매 전 호환성 질문이나 설치 지원이 필요하신 경우 https:\/\/rcdrone.top\/ 에 문의하시거나 support@rcdrone.top. \u003c\/p\u003e\u003ch2\u003e매뉴얼\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Orin-PWM-Fan\" target=\"_blank\" rel=\"noopener\"\u003e설치 비디오 \/ 가이드 (공식 자료)\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 개발자 키트 128GB LPDDR5x, 2070 FP4 TFLOPS, 1TB NVMe SSD, Wi‑Fi 6E","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson AGX Thor \u003cstrong\u003e개발 키트\u003c\/strong\u003e 는 로봇 공학 및 엣지 AI 개발을 위한 블랙웰 아키텍처 컴퓨팅 플랫폼입니다. 최대 \u003cstrong\u003e2070 FP4 TFLOPS\u003c\/strong\u003e 의 AI 컴퓨팅 성능을 제공하며, 이전 세대 Jetson AGX Orin보다 \u003cstrong\u003e7.5배\u003c\/strong\u003e 높은 성능을 갖추고 있으며, 에너지 효율성은 \u003cstrong\u003e3.5배\u003c\/strong\u003e 높습니다. 이 키트는 \u003cstrong\u003e128GB LPDDR5x\u003c\/strong\u003e 메모리(256비트)와 \u003cstrong\u003e273GB\/s\u003c\/strong\u003e 대역폭을 갖추고 있어 대규모 Transformer 추론, 고동시성 비디오 인코딩\/디코딩 및 다중 센서 데이터 융합을 지원합니다.\u003c\/p\u003e\u003cp\u003e블랙웰 \u003cstrong\u003e다중 인스턴스 GPU (MIG)\u003c\/strong\u003e 가 지원되어 단일 GPU를 여러 개의 격리된 인스턴스로 분할하여 환경 인식, 언어 상호작용 및 행동 계획과 같은 동시 작업을 수행할 수 있습니다.플랫폼은 CUDA 생태계와 통합되며 \u003cstrong\u003eIsaac\u003c\/strong\u003e, \u003cstrong\u003eIsaac GR00T\u003c\/strong\u003e, \u003cstrong\u003eMetropolis\u003c\/strong\u003e, 및 \u003cstrong\u003eHoloscan\u003c\/strong\u003e. \u003c\/p\u003e\u003ch2\u003e주요 기능\u003c\/h2\u003e\u003cul\u003e을 지원합니다.\n\u003cli\u003e\n\u003cstrong\u003eAI 성능:\u003c\/strong\u003e 최대 2070 FP4 TFLOPS\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU 아키텍처:\u003c\/strong\u003e NVIDIA Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCPU:\u003c\/strong\u003e 14코어 Arm Neoverse V3AE\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e메모리:\u003c\/strong\u003e 128GB LPDDR5x, 256비트; 메모리 대역폭 273GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e전력 소비:\u003c\/strong\u003e 40–130W (130W는 2070 FP4 TFLOPS 작동에 대해서도 언급됨)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e저장소(주목):\u003c\/strong\u003e 1TB NVMe SSD; 시스템 이미지를 쓰기 위한 SSD 인클로저가 제공됨\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e무선(온보드):\u003c\/strong\u003e Wi‑Fi (2.4GHz\/5GHz\/6GHz) 최대 2402Mbps; Bluetooth 5.3; 배송 전에 장치 내부에 설치됨\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e시스템 이미지 (주목):\u003c\/strong\u003e SSD는 사전 설치된 시스템 이미지와 함께 제공됩니다; 시스템 이미지는 AI 시각 기능, ROS 사례, 오프라인 대형 모델 사례 및 OpenClaw 과정 내용을 언급합니다\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e제품\u003c\/td\u003e\n\u003ctd\u003eJetson AGX Thor 개발 키트\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson T5000 블랙웰 GPU 탑재\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI 컴퓨팅\u003c\/td\u003e\n\u003ctd\u003e최대 2070 FP4 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e14 코어 (Arm Neoverse V3AE)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5x, 256비트\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리 대역폭\u003c\/td\u003e\n\u003ctd\u003e273GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전력 소비\u003c\/td\u003e\n\u003ctd\u003e40–130W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e냉각\u003c\/td\u003e\n\u003ctd\u003e히트싱크 및 팬 (팬 및 방열판)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e저장소 (주목)\u003c\/td\u003e\u003ctd\u003e1TB NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무선\u003c\/td\u003e\n\u003ctd\u003e와이파이 2.4GHz\/5GHz\/6GHz 최대 2402Mbps; BT 5.3; Wi‑Fi 6E 모듈 노트\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e외부 I\/O (노트)\u003c\/td\u003e\n\u003ctd\u003e2x USB‑A; 2x USB‑C; RJ45 커넥터 (5GbE); DP 커넥터; HDMI 2.1 커넥터; QSFP28 커넥터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e버튼\/지시등\u003c\/td\u003e\n\u003ctd\u003e전원 버튼; 플래싱 버튼; 리셋 버튼; 전원 표시등\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e내부 헤더 \/ 인터페이스 (노트)\u003c\/td\u003e\n\u003ctd\u003e오디오 (10핀); 자동화 인터페이스 (12핀); CAN 버스 (2x13핀); USB 타입‑C 디버깅 인터페이스; JTAG (10핀); RTC (2핀)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e섀시 치수\u003c\/td\u003e\n\u003ctd\u003e243 x 112.40 x 56.88 mm (단위: mm); 길이 240도 노트.86 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3D 모델\u003c\/td\u003e\n\u003ctd\u003e3D 모델 파일이 제공됩니다\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e성능 데이터 (명시된 대로)\u003c\/h2\u003e\u003ch3\u003e생성적 추론 비교 노트\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eJetson AGX Orin과 비교할 때, Jetson AGX Thor는 생성적 추론에서 최대 \u003cstrong\u003e5배\u003c\/strong\u003e 더 빠릅니다. \u003c\/li\u003e\n\u003cli\u003eFP4\u003c\/strong\u003e 및 \u003cstrong\u003e추측 디코딩 \u003c\/strong\u003e, 을 사용하여 개발자는 Jetson AGX Thor에서 추가 \u003cstrong\u003e2배\u003c\/strong\u003e 성능 가속을 달성할 수 있다고 합니다.\u003c\/li\u003e\n \u003cli\u003e실시간 다중 모드 AI 예제 노트: Qwen2.5‑VL‑3B VLM 및 Llama3.2 3B LLM을 사용하여 초기 토큰 (TTFT) 응답 시간이 \u003cstrong\u003e200 ms\u003c\/strong\u003e,  이하로 나타나며, 각 토큰 (TPOT) 출력 시간은 \u003cstrong\u003e50 ms\u003c\/strong\u003e.  이하로 나타납니다.\u003c\/li\u003e\u003c\/ul\u003e\u003ch3\u003e토큰\/초 테이블 (Jetson AGX Orin 대 Jetson AGX Thor)\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e가족\u003c\/th\u003e\n\u003cth\u003e모델\u003c\/th\u003e\n\u003cth\u003eJetson AGX Orin (토큰\/초)\u003c\/th\u003e\n\u003cth\u003eJetson AGX Thor (토큰\/초)\u003c\/th\u003e\n\u003cth\u003e가속 배수\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\u003e포트 \u0026amp; 기능 분포 (라벨에 명시된 대로)\u003c\/h2\u003e\u003cul\u003e\n \u003cli\u003eDC 전원 공급 장치\u003c\/li\u003e\n\u003cli\u003eUSB Type‑C 인터페이스 (전원 입력 인터페이스로 사용 가능)\u003c\/li\u003e\n\u003cli\u003eHDMI\u003c\/li\u003e\n\u003cli\u003eUSB Type‑A 인터페이스\u003c\/li\u003e\n\u003cli\u003eDP 인터페이스\u003c\/li\u003e\n\u003cli\u003e이더넷 포트\u003c\/li\u003e\n\u003cli\u003eQSFP28 커넥터\u003c\/li\u003e\n\u003cli\u003e팬 및 라디에이터\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e시스템 이미지 \u0026amp; 소프트웨어 환경 (명시된 대로)\u003c\/h2\u003e\u003cul\u003e\n \u003cli\u003e\u003cstrong\u003eSSD에는 사전 설치된 시스템 이미지가 있습니다.\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003eJetson AGX Thor는 배송 전에 \u003cstrong\u003e1TB 빈 SSD를 포함하고\u003c\/strong\u003e 시스템 이미지 파일 작성을 위한 \u003cstrong\u003eSSD 인클로저\u003c\/strong\u003e 가 제공됩니다.\u003c\/li\u003e\n\u003cli\u003e 시스템 이미지 파일이 포함된 \u003cstrong\u003e2TB SSD\u003c\/strong\u003e도 언급되어 있습니다.2TB SSD 버전 키트를 선택할 경우, 공식 키트에 포함된 원래 1TB SSD는 유지된다고 명시되어 있습니다; 패키지의 2TB SSD는 사용자가 교체해야 하며, 원래 포장은 기본적으로 제거되지 않습니다.\u003c\/li\u003e\n\u003cli\u003e \n\u003cstrong\u003eUbuntu 24.04 기반\u003c\/strong\u003e Jetson 시스템 이미지가 명시되어 있으며, \u003cstrong\u003eNVIDIA CUDA 13.0\u003c\/strong\u003e , \u003cstrong\u003eTensorRT 10.13\u003c\/strong\u003e, \u003cstrong\u003ecuDNN 9.12\u003c\/strong\u003e, 및 \u003cstrong\u003eOpenCV 4.13\u003c\/strong\u003e. \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e선택적 \/ 지원 모듈 (설명된 대로)\u003c\/h2\u003e\u003ch3\u003eAI 대형 모델 음성 모듈 (지원 명시됨)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e고성능 마이크 및 캐비티 스피커\u003c\/li\u003e\n\u003cli\u003e원거리 수음, 에코 취소 및 환경 소음 감소\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eUSB 산업용 카메라 (지원 명시됨)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e5MP\u003c\/li\u003e\n\u003cli\u003e2592 x 1944에서 30fps의 안정적인 출력을 지원합니다.\u003c\/li\u003e\n\u003cli\u003e105° 대각선 시야 (수평 81.8°, 수직 66°C로 명시됨)\u003c\/li\u003e\n\u003cli\u003e왜곡 없는 이미지; 방진 외관 (명시됨)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e튜토리얼 비디오\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\u003e지원\u003c\/h2\u003e\u003cp\u003eJetson AGX Thor 개발 키트에 대한 기술 질문이나 적절한 구성 선택에 대한 도움은 \u003ca href=\"https:\/\/rcdrone.top\/\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e 또는 \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e . \u003c\/p\u003e\u003ch2 id=\"details\"\u003e자세히 보기\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\u003e포함된 1TB NVMe SSD는 사전 설치된 시스템 이미지와 함께 제공되며, 온보드 무선 카드가 Wi‑Fi 6E 및 Bluetooth 5.3을 지원합니다.\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 음성 모듈 및 USB 산업용 카메라와 같은 지원되는 주변 장치를 사용하여 음성 지원 비서 또는 비전 파이프라인을 구축하십시오.\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\u003e성능 차트는 생성적 추론 이득 및 엣지 추론 작업을 위한 다중 모드 처리 목표를 요약합니다.\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\u003e핵심 플랫폼 하이라이트에는 최대 2070 FP4 TFLOPS AI 컴퓨팅, 128GB LPDDR5x 메모리, 14코어 Arm CPU가 포함됩니다.\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\u003e명확한 포트 및 헤더 맵은 USB 및 디스플레이 출력에서 CAN 버스, 디버그 및 기타 내부 인터페이스에 이르기까지 통합 계획에 도움을 줍니다.\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\u003e기계 도면은 섀시 치수를 밀리미터 단위로 나열하며, 인클로저 설계를 위한 3D 모델 파일이 제공됩니다.\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\u003e업데이트된 시스템 이미지는 Ubuntu 24.04를 기반으로 하며 CUDA 소프트웨어 스택의 일반 가속 라이브러리를 참조합니다.\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\u003e상자 안에는 Jetson AGX Thor 개발 키트, 전원 공급 장치 및 초기 부팅에 필요한 케이블이 포함되어 있습니다.\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 개발자 키트는 전원 어댑터와 USB‑C 데이터 케이블과 함께 배송되며, 선택적으로 1TB\/2TB SSD 및 SSD 인클로저가 제공됩니다. Vision Advanced Kit는 DP‑to‑HDMI 케이블, USB 산업용 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 키트 옵션은 보드와 전원 어댑터, USB‑C 케이블, DP‑to‑HDMI 리드, USB 산업용 카메라, SSD 인클로저, USB 3.0 허브, 선택적 NVMe SSD 및 터치스크린 추가 장치가 번들로 제공됩니다.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"1TB \/ 개발자 키트","offer_id":53135903555808,"sku":"6000101391-1","price":6003.8,"currency_code":"USD","in_stock":true},{"title":"1TB \/ 비전 고급 키트","offer_id":53135903588576,"sku":"6000101391-2","price":6134.6,"currency_code":"USD","in_stock":true},{"title":"1TB \/ AI 대형 모델 키트","offer_id":53135903621344,"sku":"6000101391-3","price":6170.6,"currency_code":"USD","in_stock":true},{"title":"1TB \/ 궁극의 키트","offer_id":53135903654112,"sku":"6000101391-4","price":6500.6,"currency_code":"USD","in_stock":true},{"title":"2TB \/ 개발자 키트","offer_id":53135903686880,"sku":"6000101391-5","price":6459.8,"currency_code":"USD","in_stock":true},{"title":"2TB \/ 비전 고급 키트","offer_id":53135903719648,"sku":"6000101391-6","price":6590.6,"currency_code":"USD","in_stock":true},{"title":"2TB \/ AI 대형 모델 키트","offer_id":53135903752416,"sku":"6000101391-7","price":6626.6,"currency_code":"USD","in_stock":true},{"title":"2TB \/ 궁극의 키트","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 개발자 키트 (엣지 AI\/ROS용) - A57 1.43GHz, 128코어 Maxwell GPU","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003eJetson NANO 4GB B01 AI 대형 모델 개발 키트는 AI를 시작하기 위해 설계된 컴팩트한 개발 키트(개발 보드 플랫폼)입니다. 이미지 분류, 객체 감지, 분할 및 음성 처리와 같은 애플리케이션을 위해 여러 신경망을 병렬로 실행할 수 있으며, 최소 5와트로 작동할 수 있습니다.\u003c\/p\u003e\u003cp\u003e이 Jetson Nano 플랫폼은 쿼드 코어 ARM Cortex-A57 프로세서와 128코어 Maxwell GPU를 사용하며 4GB LPDDR 메모리를 지원하고, TensorFlow, PyTorch, Caffe\/Caffe2, Keras 및 MXNet과 같은 인기 있는 AI 프레임워크 및 알고리즘을 지원합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eCPU: 쿼드 코어 ARM A57 @ 1.43 GHz\u003c\/li\u003e\n\u003cli\u003eGPU: 128코어 Maxwell\u003c\/li\u003e\n\u003cli\u003eAI 컴퓨팅 성능: 473 GFLOPS (제공된 텍스트에서는 472 GFLOP으로도 언급됨)\u003c\/li\u003e\n\u003cli\u003e저전력 작동: 최소 5 W (제공된 비교 자료에서는 5 W–10 W로도 표시됨)\u003c\/li\u003e\n\u003cli\u003e비디오 인코딩: 4K @ 30; 4x 1080p @ 30; 9x 720p @ 30 (H.264\/H.265)\u003c\/li\u003e\n\u003cli\u003e비디오 디코드: 4K @ 60; 2x 4K @ 30; 8x 1080p @ 30; 18x 720p @ 30 (H.264\/H.265)\u003c\/li\u003e\n\u003cli\u003e카메라 인터페이스: MIPI CSI-2 DPHY 채널 *2\u003c\/li\u003e\n\u003cli\u003e디스플레이: HDMI 및 DP\u003c\/li\u003e\n\u003cli\u003e네트워킹 \/ 확장: 기가비트 이더넷; M.2 키 E; M.2 듀얼 밴드 고속 네트워크 카드 지원; USB 고속 네트워크 카드 지원\u003c\/li\u003e\n\u003cli\u003eUSB: 4x USB 3.0; USB 2.0 마이크로-B\u003c\/li\u003e\n\u003cli\u003e기타 I\/O 목록: GPIO, I2C, I2S, SPI, UART\u003c\/li\u003e\n\u003cli\u003e언급된 전원 입력: 마이크로 USB, DC 전원, 및 PoE (제공된 텍스트에 명시된 대로)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e쿼드코어 ARM A57 @ 1.43 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e128 코어 맥스웰\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI 컴퓨팅 파워\u003c\/td\u003e\n\u003ctd\u003e473 GFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e메모리\u003c\/td\u003e\n\u003ctd\u003e4 GB 64 비트 LPDDR4 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 인코더\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\u003e비디오 디코더\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\u003e카메라 인터페이스\u003c\/td\u003e\n\u003ctd\u003eMIPI CSI-2 DPHY 채널 *2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e연결\u003c\/td\u003e\n\u003ctd\u003e기가비트 이더넷, M.2 키 E\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e디스플레이\u003c\/td\u003e\n\u003ctd\u003eHDMI 및 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 마이크로-B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e인터넷 (명시된 대로)\u003c\/td\u003e\n\u003ctd\u003eUSB 고속 네트워크 카드 지원; 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2. 빠른 시작 튜토리얼\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetson Nano B01 기본 튜토리얼\u003c\/strong\u003e: 1. Jetson nano B01 소개; 2. 시스템 이미지 플래시; 3. 플래시된 SD 재읽기 디스크; 4. Jetson Nano B01 시작; 5. 공식 이미지 작성 (SDK)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetson Nano B01 SUB 보드 기본 튜토리얼\u003c\/strong\u003e: 1. Jetson Nano B01 SUB 보드 소개; 2. EMMC 시스템 이미지 작성\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTF 시작\u003c\/strong\u003e: 1.Jetson Nano SUB TF 카드 시작 및 확장; 2. TF 카드 시스템 이미지 쓰기; 3. 플래시된 SD 재읽기 디스크; 4. TF 카드 부팅\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eU 디스크 시작\u003c\/strong\u003e: 1. EMMC 부팅 쓰기; 2. U 디스크 시스템 쓰기; 3. 플래시된 U 디스크 재읽기 디스크; 4. Jetson Nano SUB 시작\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e시스템 기본 설정 튜토리얼\u003c\/strong\u003e: 1. Jetson Nano B01 시스템 및 데스크탑 소개; 2. SD 카드 확장; 3. 네트워크 구성; 4. SSH 텔넷 \u0026amp; 파일 전송; 5. VNC 원격 로그인; 6. Jetson Nano B01 시스템 백업; 7. Jetson Nano B01 스왑 공간 증가; 8. Jtop 설치 및 사용\u003c\/li\u003e \n\u003cli\u003e\n\u003cstrong\u003eGPIO 하드웨어 제어 튜토리얼\u003c\/strong\u003e: 1. GPIO 라이브러리의 API 사용; 2. Jetson Nano B01 하드웨어 라이브러리 구성; 3. 핀 읽기 기능; 4. 핀 레벨 출력 제어; 5. LED 제어; 6. Jetson Nano B01 외부 장치 직렬 포트와 통신; 7. Jetson Nano B01 I2C 통신\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI 고급 비주얼 튜토리얼\u003c\/strong\u003e: 1.온보드 카메라 튜토리얼; 2. USB 외부 카메라 테스트; 3. Jupyter lab 및 Jetcham 설치; 4. TensorFlow 설치 (선택 사항); 5. Jetson-Inference 환경 구축 (선택 사항); 6. 안녕하세요 AI 세계; 7. 이미지 분류 추론; 8. 객체 탐지 추론; 9. 의미론적 분할; 10. 자세 추정; 11. 행동 인식; 12. 배경 제거; 13. 단안 깊이 추정; 14. DeepStream 환경 구축 (선택 사항); 15. 자동차 검사; 16. yolo5 소개; 17. YOLO5 환경 구축 (선택 사항); 18. yolo5의 실시간 탐지; 19. yolo5 + tensorrt 가속; 20. yolo5 + tensorrt 가속 + Deep Stream (카메라 열기); 21. Mediapipe 환경 구축 (선택 사항); 22. Mediapipe 개발; 23. Read Me\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eYOLOv11 \/ YOLO26 고급 사용법\u003c\/strong\u003e (NEW): 00. 실행 전에 반드시 읽어야 함; 01. YOLOv11 환경 구축; 02. CLI 사용법; 03. 객체 탐지; 04. 인스턴스 분할; 05. 자세 추정; 06.이미지 분류; 07. 방향성 경계 상자 객체 탐지; 08. 모델 변환\u003c\/li\u003e \n\u003cli\u003e\n\u003cstrong\u003eROS1 기본 과정\u003c\/strong\u003e: 1. ROS 소개; 2. 프로젝트 파일 구조; 3. 일반 명령어 및 도구; 4. 퍼블리셔; 5. 구독자; 6. 주제 메시지 사용자 정의 및 사용; 7. 클라이언트; 8. 서버; 9. 서비스 메시지 사용자 정의 및 사용; 10. TF 릴리스 및 모니터링\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS1 시각 이미지 처리 과정\u003c\/strong\u003e: 1. AR 비전; 2. AR QR 코드; 3. ROS+OpenCV 기초; 4. ROS+OpenCV 응용; 5. MediaPipe 개발\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 기본 과정\u003c\/strong\u003e: 1. ROS2 소개; 2. ROS2 설치 Humble; 3. ROS2 개발 환경; 4. ROS2 작업 공간; 5. ROS2 기능 패키지; 6. ROS2 노드; 7. ROS2 주제 통신; 8. ROS2 서비스 통신; 9. ROS2 액션 통신; 10. ROS2 사용자 정의 인터페이스 메시지; 11. ROS2 매개변수 서비스 사례; 12. ROS2 메타 기능 패키지; 13. ROS2 분산 통신; 14. ROS2 DDS; 15.ROS2 시간 관련 API; 16. ROS2 공통 명령 도구; 17. ROS2 rviz2 사용; 18. ROS2 rqt 툴박스; 19. ROS2 Launch 시작 파일 구성; 20. ROS2 녹화 및 재생 도구; 21. ROS2 URDF 모델; 22. ROS2 Gazebo 시뮬레이션 플랫폼; 23. ROS2 TF2 좌표 변환\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e도커 과정\u003c\/strong\u003e: 1. 개요 및 설치; 2. 일반 명령어; 3. 이미지 이해 및 게시; 4. 하드웨어 상호작용 데이터 처리; 5. 도커 컨테이너 진입; 6. 도커 이미지 업데이트\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenCV 이미지 처리 과정\u003c\/strong\u003e: 1. OpenCV 기본 과정; 2. ROS+opencv 응용; 3. QR 코드 인식; 4. AR 비전; 5. Mediapipe\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e오프라인 AI 대형 모델 튜토리얼\u003c\/strong\u003e: 0. AI 대형 모델 시스템 이미지 설명서; 1. AI 대형 모델 환경 배포; 2. 대형 모델 대화 플랫폼 설치; 3. 메타 AI Llama 3.2 모델; 4. 알리바바 클라우드 Qwen2 모델; 5. 알리바바 클라우드 Qwen3 모델; 6. SUTD TinyLlama; 7. DeepSeek DeepSeek-R1 모델; 8.Microsoft Phi-3; 9. Microsoft Orca Mini; 10. NVIDIA StarCoder2; 11. Google Gemma3 비주얼 멀티모달 대형 모델; 12. 오프라인 텍스트 음성 변환 (TTS); 13. 오프라인 음성 텍스트 변환 (ASR)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e온라인 대형 모델 튜토리얼\u003c\/strong\u003e: 1. OpenRouter 대형 모델 API 집계 플랫폼; 2. 멀티모달 비주얼 이해 애플리케이션; 3. 멀티모달 비주얼 위치 애플리케이션; 4. 멀티모달 테이블 스캐닝 애플리케이션; 5. 멀티모달 자율 프록시 애플리케이션\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e온라인 대형 모델 (음성 상호작용)\u003c\/strong\u003e: 0. 음성 상호작용 하드웨어 연결 (ReadMe); 1. 오프라인 음성 텍스트 변환 (ASR); 2. 오프라인 텍스트 음성 변환 (TTS); 3. AI 대형 모델 음성 상호작용; 4. 멀티모달 비주얼 이해 음성 상호작용; 5. 멀티모달 비주얼 위치 애플리케이션; 6. 멀티모달 테이블 스캐닝 애플리케이션; 7. 멀티모달 자율 프록시 애플리케이션; 8. AI 대형 모델 오프라인 음성 비서\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenClaw 배포 및 기본 사용법\u003c\/strong\u003e: 1.OpenClaw 배포; 2. OpenClaw WAP 플러그인 애플리케이션; 3. OpenClaw 웹채팅 상호작용; 4. OpenClaw TUI 상호작용; 5. OpenClaw 도구 소개; 6. OpenClaw 게이트 게이트웨이 사용자 매뉴얼; 7. OpenClaw 기능 개요; 8. OpenClaw 허브 소개 (기술 설치); 9. OpenClaw 애플리케이션 파일 관리; 10. OpenClaw 애플리케이션 카메라; 12. OpenClaw 애플리케이션 스크립트 실행; 13. OpenClaw 애플리케이션 프로그래밍 (주변 \u0026amp; GPIO 제어); 14. OpenClaw 애플리케이션 전용 AI 어시스턴트\u003c\/li\u003e \n\u003cli\u003e\n\u003cstrong\u003eOpenClaw 사용 전 준비\u003c\/strong\u003e: 1. 주변 하드웨어 구성; 2. OpenClaw API-KEY 구성; 3. OpenClaw 전환 모델; 4. OpenClaw 프롬프트 단어; 5. AI 음성 상호작용 구성; 6. 3D 도식 구성 테스트\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenClaw 주변 장치 Act 프로그래밍 (주변 제어)\u003c\/strong\u003e: 1. 서보 제어; 2. RGB 조명 스트립; 3. OLED\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenClaw 확장 고급 개발\u003c\/strong\u003e: 1.온도 및 습도 센서; 2. 카메라 애플리케이션; 1. 식물 관리 도우미; 2. AI 열 추정; 3. AI 추측 손바닥 게임; 4. AI 애완동물; 5. AI 기상 관측소; 6. 온도 민감도 측정기; 7. 예약 작업\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e포장 목록 (표시된 노트)\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e제공된 자료에 따르면: 별도의 보드 작동에는 전원 어댑터와 64G 메모리 카드가 필요합니다.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e엣지 AI 프로토타이핑: 이미지 분류, 객체 감지, 분할, 음성 처리\u003c\/li\u003e\n\u003cli\u003eROS 학습 및 로봇 개발 (제공된 자료에서 ROS 시스템 \/ ROS 로봇이 지원 학습 목표로 표시됨)\u003c\/li\u003e\n\u003cli\u003e컴퓨터 비전 및 MIPI CSI-2 (2채널) 또는 USB 카메라를 통한 카메라 기반 프로젝트 (강의 개요에서 언급됨)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e주문 확인(저장 변형, 포함된 액세서리) 또는 통합 질문에 대한 문의 (M.2개의 주요 E WiFi 카드, 카메라, 전원), 연락처 support@rcdrone.top or 방문 https:\/\/rcdrone.top\/ . \u003c\/p\u003e\u003ch2 id=\"details\"\u003e세부정보\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 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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 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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 서브 \/ 분리형 보드","offer_id":53136023519456,"sku":"6974857383095-1","price":291.8,"currency_code":"USD","in_stock":true},{"title":"B01 서브 \/ 기본 키트","offer_id":53136023552224,"sku":"6974857383095-2","price":303.8,"currency_code":"USD","in_stock":true},{"title":"B01 서브 \/ 확장 키트","offer_id":53136023584992,"sku":"6974857383095-3","price":315.8,"currency_code":"USD","in_stock":true},{"title":"B01 서브 \/ 카메라 키트","offer_id":53136023617760,"sku":"6974857383095-4","price":339.8,"currency_code":"USD","in_stock":true},{"title":"B01 서브 \/ WIFI 고급 키트","offer_id":53136023650528,"sku":"6974857383095-5","price":363.8,"currency_code":"USD","in_stock":true},{"title":"B01 서브 \/ AI 대형 모델 키트","offer_id":53136023683296,"sku":"6974857383095-6","price":399.8,"currency_code":"USD","in_stock":true},{"title":"B01 서브 \/ 오픈클로 키트","offer_id":53136023716064,"sku":"6974857383095-7","price":433.4,"currency_code":"USD","in_stock":true},{"title":"B01 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Yahboom 캐리어 보드는 공식 NVIDIA 캐리어 보드와 성능, 온보드 리소스, 크기 및 인터페이스 레이아웃에서 일치합니다.\u003c\/p\u003e\u003cp\u003e이 키트는 시스템 준비가 완료된 저장 장치(256GB M.2 SSD와 미리 작성된 시스템 이미지 포함), 무선 네트워크 카드 및 안테나, 전원 어댑터가 함께 제공됩니다.\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\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e두 가지 메모리 옵션: 4GB \/ 8GB RAM.\u003c\/li\u003e\n\u003cli\u003eAI 컴퓨팅 성능: 34 TOPS (Orin Nano SUPER 4GB) \/ 67 TOPS (Orin Nano SUPER 8GB).\u003c\/li\u003e\u003cli\u003e캐리어 보드 호환성: Yahboom 캐리어 보드는 NVIDIA Jetson Orin Nano 코어 모듈과 호환되며, 안정적인 전원 공급을 제공합니다.\u003c\/li\u003e\n\u003cli\u003e전원 모드 (SUPER): 최대 전원 모드는 최대 25W를 지원합니다 (업그레이드 전 최대 15W와 비교).\u003c\/li\u003e\n\u003cli\u003ePoE 전원 공급 지원 (키트 기능 하이라이트에 명시됨).\u003c\/li\u003e\n\u003cli\u003e사전 설치된 시스템 저장소: 사전 작성된 시스템 이미지가 포함된 256GB M.2 SSD.\u003c\/li\u003e\n\u003cli\u003e무선 포함: 듀얼 밴드 무선 네트워크 카드가 BT 5.0 및 듀얼 밴드 Wi-Fi를 지원합니다; 듀얼 3dB 고이득 안테나 포함; 전송 속도 최대 867Mbps.\u003c\/li\u003e\n\u003cli\u003eROS 및 AI 비전을 위한 튜토리얼 리소스 제공; 시스템 이미지 제공.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ch3\u003eJetson Orin Nano SUPER 변형 사양 (제공된 비교 차트에서)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003cth\u003e매개변수\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 아키텍처\u003c\/td\u003e\n\u003ctd\u003eNVIDIA 앰페어 아키텍처\u003c\/td\u003e\n\u003ctd\u003eNVIDIA 앰페어 아키텍처\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA \/ 텐서 코어\u003c\/td\u003e\n\u003ctd\u003e512 CUDA 코어 \/ 16 텐서 코어\u003c\/td\u003e\n\u003ctd\u003e1,024 CUDA 코어 \/ 32 텐서 코어\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU 최대 주파수\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 컴퓨팅 성능\u003c\/td\u003e\n\u003ctd\u003e34 TOPS (희소), 17 TOPS (밀집)\u003c\/td\u003e\n\u003ctd\u003e67 TOPS (희소), 33 TOPS (밀집)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e6코어 Arm Cortex-A78AE v8.2 64비트 CPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU 최대 주파수\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\u003e사양 정수 비율\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 64비트 LPDDR5 (51 GB\/s)\u003c\/td\u003e\n\u003ctd\u003e8GB 128비트 LPDDR5 (102 GB\/s)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e전력\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\u003e저장소\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eSD 카드 또는 외부 NVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e카메라 인터페이스\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e2채널 CSI 인터페이스 (22핀, 0.5mm 피치)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e비디오 출력 인터페이스\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eDP 인터페이스\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e데이터 전송 인터페이스\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eType-C 인터페이스\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 키 인터페이스\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eM.2 키 E + M.2 키 M*2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003e성능 업그레이드 노트 (제공된 자료에 명시된 대로)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e컴퓨팅 성능이 약 70% 증가했습니다.\u003c\/li\u003e\n\u003cli\u003eCPU 주파수가 13% 증가했습니다.\u003c\/li\u003e\n\u003cli\u003e메모리 대역폭이 50% 증가했습니다.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e튜토리얼 \u0026amp; 시스템 이미지\u003c\/h2\u003e\u003cul\u003e \n\u003cli\u003e시스템 이미지는 배송 전에 SSD에 기록됩니다.\u003c\/li\u003e\n\u003cli\u003eJetson Orin NANO 코어 모듈은 eMMC 저장소가 없기 때문에 작동을 위해 NVMe 드라이브가 필요하며, SSD는 더 빠르고 부드러운 경험을 위해 권장됩니다.\u003c\/li\u003e\n\u003cli\u003e자료는 “원본 자료 \u0026amp; 지속적으로 업데이트됨”으로 표시됩니다 (2026년 6월 업데이트).\u003c\/li\u003e\n \u003cli\u003e무료 시스템 이미지는 YOLO26 개발 환경(YOLO26)에 대해 표시됩니다.\u003c\/li\u003e\n\u003cli\u003e코스 수: Jetson Orin Nano 기본 사용 가이드(총 30개 코스), Jetson Orin Nano ROS 개발 코스(총 57개 코스), Jetson Orin Nano AI 비전 고급 개발 코스(총 14개 코스).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin Nano 코어 모듈 + Jetson Orin Nano 캐리어 보드(개발 키트).\u003c\/li\u003e\n\u003cli\u003e시스템 이미지가 미리 기록된 256GB M.2 SSD.\u003c\/li\u003e\u003cli\u003e무선 네트워크 카드 및 안테나(듀얼 밴드 Wi-Fi + BT 5.0; 듀얼 3dB 고이득 안테나; 최대 867Mbps).\u003c\/li\u003e\n\u003cli\u003e전원 어댑터.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e옵션\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSSD 키트 없이 선택 가능:\u003c\/strong\u003e 사용자가 256GB 이상의 용량을 가진 SSD를 제공합니다.\u003c\/li\u003e\n\u003cli\u003e 지원되는 SSD 인터페이스: M.2 키 M 및 M.2 키 B+M 솔리드 스테이트 저장 장치; 2280 크기가 권장됩니다.\u003c\/li\u003e\n\u003cli\u003e“SSD 키트 없음”은 제공된 시스템 이미지를 사용자 제공 SSD에 기록하기 위한 SSD 플래싱 인클로저와 플래싱 튜토리얼을 포함한다고 표시됩니다.\u003c\/li\u003e\n\u003cli\u003e무선 카드 주의 사항: Jetson Orin Nano SUPER 8GB 공식 키트는 M.2 네트워크 카드와 함께 제공되며, 외부 안테나만 제공됩니다.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e응용 프로그램\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAI 비전 개발, ROS 학습 및 개발, 엣지 컴퓨팅 프로젝트.\u003c\/li\u003e\n\u003cli\u003e오프라인 및 온라인 AI 대형 모델 개발 자료가 제공된 리소스에서 사용 가능하다고 표시됩니다.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e선택 가이드(4GB 대 8GB, SSD 대 비-SSD 옵션) 및 애프터 서비스 지원을 원하시면 https:\/\/rcdrone.top\/에 문의하시거나 support@rcdrone.top. \u003c\/p\u003e\u003ch2 id=\"details\"\u003e 자세히 보기\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e로 이메일을 보내주십시오.\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 기반 컴퓨팅을 사용하여 모바일 로봇, 4족 보행 로봇 및 비전 지원 자동화 프로젝트를 구축하십시오.\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 또는 8GB RAM을 선택하고 온보드 I\/O, 냉각 및 포함된 액세서리가 있는 시스템 준비 키트를 받아 빠른 시작을 하십시오.\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\u003e튜토리얼 리소스와 예제 코드는 AI 비전, 대형 모델 데모 및 ROS 개발 워크플로우를 신속하게 시작하는 데 도움을 줍니다.\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 업그레이드는 사용 가능한 컴퓨팅 성능을 증가시키고 더 무거운 AI 작업 부하를 위한 높은 전력 모드를 지원합니다.\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\u003e최대 전력 모드(최대 25W)는 애플리케이션이 필요할 때 추가 성능 여유를 제공합니다.\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\u003e미리 이미지가 설치된 256GB NVMe SSD와 Wi-Fi\/BT 하드웨어는 설정 시간을 단축시켜 부팅하고 개발을 더 빨리 시작할 수 있게 합니다.\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\u003e이미 NVMe 드라이브가 있는 경우, SSD 없음 옵션은 제공된 인클로저와 시스템 이미지 다운로드로 플래싱을 지원합니다.\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\u003e다운로드 가능한 과정 폴더는 기본 설정부터 ROS2 및 컴퓨터 비전 파이프라인까지 주제별로 예제를 정리합니다.\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\u003e샘플 애플리케이션은 시각적 Q\u0026amp;A, 이미지 생성 및 엣지 하드웨어에서의 위치 추적과 같은 다중 모드 AI 작업을 다룹니다.\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 튜토리얼 콘텐츠는 깊이, 매핑, 탐지 및 자세 추정과 같은 일반적인 로봇 인식 스택을 지원합니다.\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\u003e선택적 M.2 SSD 인클로저를 사용하여 DIY 설정을 위해 시스템 이미지 파일을 SSD에 쓸 수 있습니다.\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\u003e포함된 AI 학습 자료는 DeepSeek-R1, Qwen, Meta 및 LLaVA를 사용한 다중 모드 LLM 데모를 다루어 의미 이해 및 시각적 인식을 지원합니다.\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 벤치마크 결과는 기본 구성 대비 업그레이드 후 인기 있는 LLM, 비전 트랜스포머 및 VLM 간의 상대적인 성능 향상을 요약합니다.\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\u003e선택 가능한 아크릴 또는 알루미늄 합금 미니 케이스는 전원\/리셋 버튼, 냉각 팬, RGB 조명 바 및 OLED 디스플레이를 추가하여 깔끔한 Jetson Orin Nano SUPER 설정을 제공합니다.\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 개발 키트는 두 개의 22핀 CSI 카메라를 지원하며, 프로토타입 제작을 위해 음성 및 OpenCV 확장 모듈과 함께 사용할 수 있습니다.\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 개발 키트는 USB-C, 듀얼 USB 3.0, RJ45 이더넷, DisplayPort, 40핀 GPIO 및 22핀 카메라 인터페이스를 갖춘 컴팩트한 커넥터 레이아웃을 제공합니다.\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 개발 키트 레이아웃에는 HDMI, 이더넷, USB, CSI 카메라 커넥터, 40핀 헤더 및 전원 인터페이스가 포함되어 있어 간단한 통합이 가능합니다.\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\u003e제트슨 시스템 이미지는 우분투 22.04를 기반으로 하며 NVIDIA CUDA 12.6, TensorRT 10.7, cuDNN 9.6.0 및 OpenCV 4.10.0을 지원합니다.\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\u003e제트슨 전체 시리즈 비교는 Orin Nano Super 4GB (34 TOPS) 및 8GB (67 TOPS) 옵션을 포함하여 제트슨 모듈 간의 주요 차이점을 나열합니다.\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\u003e제트슨 Orin Nano 및 Orin NX 사양은 시스템 계획을 위한 지원 카메라, PCIe 레인, USB 옵션, 디스플레이 출력 및 전력 범위를 설명합니다.\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\u003e제트슨 Orin Nano SUPER 키트에는 일반적으로 개발 보드, 전원 어댑터, 안테나 및 무선 네트워크 카드가 포함되며, SSD 키트 옵션이 표시됩니다.\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\u003e제트슨 Orin Nano SUPER 키트에는 전원 어댑터가 포함된 개발 보드, 안테나, Wi‑Fi 카드, 256GB SSD, DP‑to‑HDMI 및 USB‑C 케이블, 아크릴 케이스 및 선택적 IMX219 카메라 모듈이 포함됩니다.\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 키트에는 개발 보드와 함께 전원 어댑터, 안테나, 무선 카드, 256GB SSD, 케이블, IMX219 카메라가 포함되어 있으며, 선택적으로 OpenClaw 확장 세트를 제공합니다.\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 개발 키트 번들은 전원 어댑터, 안테나, 256G SSD, 디스플레이 케이블, 카메라 및 케이스 옵션과 같은 일반적인 추가 항목과 함께 제공됩니다.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"4GB-SUB \/ SSD 없는 개발 키트","offer_id":53136056385760,"sku":"3000101329-1","price":447.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ 개발자 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키트","offer_id":53136056647904,"sku":"3000101329-9","price":831.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ SSD 없는 개발 키트","offer_id":53136056680672,"sku":"3000101329-10","price":507.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ 개발자 키트","offer_id":53136056713440,"sku":"3000101329-11","price":579.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ 기본 키트","offer_id":53136056746208,"sku":"3000101329-12","price":591.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ 카메라 고급 키트","offer_id":53136056778976,"sku":"3000101329-13","price":615.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ AI 대형 모델 키트","offer_id":53136056811744,"sku":"3000101329-14","price":663.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ OpenClaw 키트","offer_id":53136056844512,"sku":"3000101329-15","price":685.4,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ 미니 PC 키트","offer_id":53136056877280,"sku":"3000101329-16","price":651.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ 우수한 키트","offer_id":53136056910048,"sku":"3000101329-17","price":687.8,"currency_code":"USD","in_stock":true},{"title":"8GB-SUB \/ 궁극의 키트","offer_id":53136056942816,"sku":"3000101329-18","price":891.8,"currency_code":"USD","in_stock":true},{"title":"8GB-공식 \/ SSD 없는 개발 키트","offer_id":53136056975584,"sku":"3000101329-19","price":543.8,"currency_code":"USD","in_stock":true},{"title":"8GB-공식 \/ 개발자 키트","offer_id":53136057008352,"sku":"3000101329-20","price":615.8,"currency_code":"USD","in_stock":true},{"title":"8GB-공식 \/ 기본 키트","offer_id":53136057041120,"sku":"3000101329-21","price":627.8,"currency_code":"USD","in_stock":true},{"title":"8GB-공식 \/ 카메라 고급 키트","offer_id":53136057073888,"sku":"3000101329-22","price":651.8,"currency_code":"USD","in_stock":true},{"title":"8GB-공식 \/ AI 대형 모델 키트","offer_id":53136057106656,"sku":"3000101329-23","price":699.8,"currency_code":"USD","in_stock":true},{"title":"8GB-공식 \/ OpenClaw 키트","offer_id":53136057139424,"sku":"3000101329-24","price":721.4,"currency_code":"USD","in_stock":true},{"title":"8GB-공식 \/ 미니 PC 키트","offer_id":53136057172192,"sku":"3000101329-25","price":687.8,"currency_code":"USD","in_stock":true},{"title":"8GB-공식 \/ 우수한 키트","offer_id":53136057204960,"sku":"3000101329-26","price":723.8,"currency_code":"USD","in_stock":true},{"title":"8GB-공식 \/ 궁극의 키트","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 전원 어댑터 (미국 플러그) - Jetson Nano 4GB A02\/B01\/SUB용, J48 점퍼 캡 포함","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003e이 DC 전원 어댑터는 NVIDIA Jetson Nano를 위해 설계되어 있으며, 마이크로 USB 입력(2A)이 팬, 7인치 디스플레이, 카메라 및 기타 USB 장치와 같은 추가 주변 장치를 전원 공급하는 데 충분하지 않을 때 안정적인 5V 4A 전원 공급을 제공합니다. Jetson Nano B01(공식\/SUB)을 지원하며 Jetson Nano 4GB 보드(A02\/B01\/SUB)를 위해 설계되었습니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e정격 출력: Jetson Nano DC 입력 용 5V 4A\u003c\/li\u003e\n\u003cli\u003e입력 전압: 100-240V\u003c\/li\u003e\n\u003cli\u003eDC 출력 인터페이스: 5.5 x 2.5 mm, 5.5 x 2와 호환 가능.1 mm\u003c\/li\u003e\n\u003cli\u003e보호 기능: 단락 보호, 과전류 보호, 과전압 보호, 저전압 보호, 역접속 보호\u003c\/li\u003e\n\u003cli\u003e상태 표시등: 파란색 불빛\u003c\/li\u003e\n\u003cli\u003eAC 플러그: 미국\u003c\/li\u003e\n\u003cli\u003e호환성 공지: Jetson Nano 2GB 지원하지 않음; Jetson Orin Nano 지원하지 않음\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e제품 이름\u003c\/td\u003e\n\u003ctd\u003eJetson Nano DC 전원 어댑터\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e외관 색상\u003c\/td\u003e\n\u003ctd\u003e검정색\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작업등\u003c\/td\u003e\n\u003ctd\u003e파란색 불빛\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAC 플러그\u003c\/td\u003e\n\u003ctd\u003e미국\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e입력 전압\u003c\/td\u003e\n\u003ctd\u003e100-240V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e출력 전압\u003c\/td\u003e\n\u003ctd\u003e5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e출력 전류\u003c\/td\u003e\n\u003ctd\u003e4A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e리플\u003c\/td\u003e\n\u003ctd\u003e≤100MV\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e출력 인터페이스\u003c\/td\u003e\n\u003ctd\u003eDC 인터페이스 5.5 x 2.5, 5.5 x 2와 호환.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAC 전원 입력\u003c\/td\u003e\n\u003ctd\u003e0.5m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDC 전원 출력\u003c\/td\u003e\n\u003ctd\u003e1m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작업 효율성\u003c\/td\u003e\n\u003ctd\u003e≥85%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e작동 온도\u003c\/td\u003e\n\u003ctd\u003e0C~+50C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e크기\u003c\/td\u003e\n\u003ctd\u003e100mm x 50mm x 35mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e보호 기능\u003c\/td\u003e\n\u003ctd\u003e단락 보호, 과전류 보호, 과전압 보호, 저전압 보호, 역접속 보호\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e호환성\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e지원: Jetson Nano B01 (공식\/SUB)\u003c\/li\u003e\n\u003cli\u003e지원하지 않음: Jetson Nano 2GB\u003c\/li\u003e\n\u003cli\u003e지원하지 않음: Jetson Orin Nano\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDC 전원 사용 지침\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDC 전원 공급 장치를 사용할 때는 공식 Jetson Nano 매뉴얼에 따라 점퍼 캡으로 J48 커넥터를 단락시키십시오.\u003c\/li\u003e\n\u003cli\u003eJetson Nano (SUB)는 점퍼 캡이 필요하지 않습니다.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e5V 4A DC 전원 어댑터 x 1\u003c\/li\u003e\n\u003cli\u003e점퍼 캡 x 5\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e사전 판매 호환성 질문이나 판매 후 지원이 필요하신 경우 support@rcdrone.top or에 문의하시거나  https:\/\/rcdrone.top\/. \u003c\/p\u003e\u003ch2 id=\"details\"\u003e자세히 보기\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\u003e5V 4A DC 입력을 사용하여 마이크로 USB 한계를 초과하는 추가 주변 장치를 실행할 때 안정적인 전원을 제공합니다.\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 보드(A02\/B01\/SUB)를 위해 설계되었으며 Jetson Nano 2GB 또는 Jetson Orin Nano에는 적합하지 않습니다.\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\u003e전용 5V 4A 전원 공급 장치는 팬, 카메라 및 디스플레이와 같은 고부하 설정을 지원하는 데 도움이 됩니다.\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\u003e고전류 DC 전원은 요구되는 애플리케이션 및 장기간 테스트 중 전력 제한 문제를 줄입니다.\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 보드에서 J48 점퍼를 설정하여 DC 입력에 대한 공식 지침을 따르십시오; SUB 보드는 점퍼가 필요하지 않습니다.\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 플러그는 Jetson Nano 배럴 잭에 연결되며 5.5 x 2.1 mm 포트와 호환됩니다.\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":"야붐 아크릴 보호 케이스 (NVIDIA Jetson Xavier NX, TX2-NX, Orin Nano SUPER 및 Orin NX SUPER용)","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003e이 아크릴 보호 케이스는 NVIDIA Jetson Xavier NX \/ TX2-NX \/ Orin Nano SUPER \/ Orin NX SUPER 개발 보드를 위해 특별히 설계되었습니다. 이 인클로저는 6개의 아크릴 패널로 구성되어 있으며, 나사와 구리 기둥으로 조립됩니다. 조립 후, 구멍 위치는 Jetson 보드 인터페이스에 해당하며, 카메라, 디스플레이, 네트워크 케이블 및 USB와 같은 외부 연결을 지원하여 접근을 차단하지 않습니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJETSON ORIN 아크릴 케이스 디자인: 듀얼 안테나 설치를 지원하며 듀얼 카메라 설치를 지원합니다.\u003c\/li\u003e\n\u003cli\u003e정확한 인터페이스 홀 정렬; 예약된 쿨링 팬 홀 포함 (내장 쿨링 팬으로 더 빠른 열 방출이 가능합니다).\u003c\/li\u003e\n\u003cli\u003e듀얼 카메라 고정을 지원합니다 (참고: 카메라용 아크릴 브래킷은 포함되어 있지 않습니다).\u003c\/li\u003e\n\u003cli\u003e두 개의 무선 네트워크 카드 안테나가 포함되어 있습니다 (듀얼 안테나).외부 안테나는 신호를 더 안정적으로 만들고 전송 거리를 늘리기 위해 설계되었습니다.\u003c\/li\u003e\n\u003cli\u003e신호 테스트 비교(제공된 대로): 전체 프레임 신호 강도 100\/100; 원래 WiFi 신호 42 그리드; 안테나 강화 신호 53 그리드.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e판매 전 호환성 질문이나 판매 후 지원이 필요하신 경우 support@rcdrone.top or 에 문의하시거나 https:\/\/rcdrone.top\/. 를 방문해 주십시오.\u003c\/p\u003e\u003ch2\u003e호환성\u003c\/h2\u003e\u003cp\u003e이 제품은 다음 보드의 공식\/SUB 버전과 호환됩니다:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e오린 나노 슈퍼 (SUB)\u003c\/li\u003e\n\u003cli\u003e오린 나노 슈퍼 (공식)\u003c\/li\u003e\n\u003cli\u003e오린 NX 슈퍼 (SUB)\u003c\/li\u003e\n\u003cli\u003e자비에 NX (공식)\u003c\/li\u003e\n\u003cli\u003e자비에 NX (SUB)\u003c\/li\u003e\n\u003cli\u003eTX2-NX\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e인터페이스 접근 (자비에 NX로 예시)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e열 방출 포트\u003c\/li\u003e\n\u003cli\u003e2x CSI 카메라 포트\u003c\/li\u003e\n\u003cli\u003e40핀 GPIO 인터페이스\u003c\/li\u003e\n\u003cli\u003eDC 전원 인터페이스\u003c\/li\u003e\n\u003cli\u003eDP 인터페이스\u003c\/li\u003e\n\u003cli\u003eHDMI 인터페이스\u003c\/li\u003e\n\u003cli\u003eRJ45 기가비트 이더넷 포트\u003c\/li\u003e\n\u003cli\u003eUSB 3.0 인터페이스\u003c\/li\u003e\n\u003cli\u003e마이크로 USB OTG 인터페이스\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e위의 인터페이스 예시는 자비에 NX를 예로 들었으며 오린 나노 슈퍼 \/ 오린 NX 슈퍼와도 호환됩니다.\u003c\/p\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e재질\u003c\/td\u003e\n\u003ctd\u003e아크릴\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e크기\u003c\/td\u003e\n\u003ctd\u003e112*91*42mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e아크릴 두께\u003c\/td\u003e\n\u003ctd\u003e2.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e무게\u003c\/td\u003e\n\u003ctd\u003e90.2g (구리 기둥 나사 제외)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e아크릴 케이스 패널 (6개)\u003c\/li\u003e\n\u003cli\u003e조립용 나사 및 구리 기둥 (조립용)\u003c\/li\u003e\n\u003cli\u003e무선 네트워크 카드 안테나 (2개)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e설치 주의사항\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e케이스를 조립하기 전에 사용자는 Jetson 보드의 하단에 있는 플라스틱 베이스를 제거해야 합니다. 그렇지 않으면 성공적으로 맞지 않습니다.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003e비디오\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\u003e매뉴얼\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"https:\/\/www.yahboom.net\/study\/NX-shell\" rel=\"noopener\" target=\"_blank\"\u003e온라인 학습 \/ 설치 정보\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2 id=\"details\"\u003e상세정보\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":"케이스","offer_id":53137428611296,"sku":"6000301335-1","price":18.19,"currency_code":"USD","in_stock":true},{"title":"케이스 + 안테나","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 SUPER용 Yahboom 그린 알루미늄 합금 케이스","description":"\u003ch2\u003e개요\u003c\/h2\u003e\u003cp\u003e이 알루미늄 합금 케이스는 NVIDIA Jetson 개발 보드를 위해 설계되었으며, 물리적 보호를 제공하면서도 메인보드 인터페이스에 접근할 수 있도록 합니다. 이 제품은 공기 흐름을 위한 통풍\/홀로우 아웃 상단 커버와 빈번한 플러그\/언플러그 작업을 피하기 위한 통합 전원\/리셋 버튼을 갖춘 녹색 양극산화 알루미늄 합금을 사용합니다.\u003c\/p\u003e\u003ch2\u003e주요 특징\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e녹색 양극산화 알루미늄 합금 재질\u003c\/li\u003e\n\u003cli\u003e외부 연결을 위한 정확한 보드 일치 컷아웃(\"메인보드 인터페이스 홀 위치\")\u003c\/li\u003e\n\u003cli\u003e통풍이 있는 상단 커버; 냉각 팬 설치 가능\u003c\/li\u003e\n\u003cli\u003e전원 버튼 및 리셋 버튼 포함\u003c\/li\u003e\n\u003cli\u003e카메라 브래킷은 단일\/이중\/쌍안경 카메라 및 180° 각도 회전을 지원합니다(조정 노브 포함)\u003c\/li\u003e\n\u003cli\u003e네트워크 카드 안테나 설치 지원: M.2 네트워크 카드 안테나 및 USB 네트워크 카드\u003c\/li\u003e\n\u003cli\u003e예약된 확장 홀 및 40PIN 제어 보드 인터페이스 접근\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003e호환성\u003c\/h2\u003e\u003cp\u003e이 제품은 다음 보드의 공식\/SUB 버전과 호환됩니다:\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\u003e구성 설명\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e알루미늄 합금 케이스 + 쿨링 팬 (적용 대상: Jetson Nano B01 (공식\/SUB))\u003c\/li\u003e\n\u003cli\u003e알루미늄 합금 케이스 + 쿨링 팬 + M.2 네트워크 카드 + 안테나 (적용 대상: Jetson Nano B01 (공식\/SUB))\u003c\/li\u003e\n\u003cli\u003e알루미늄 합금 케이스 + 안테나 (적용 대상: Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER \/ Jetson Xavier NX \/ Jetson TX2-NX; 위의 버전은 공식\/SUB 버전을 지원합니다)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e제품 정보의 주의 사항: Jetson Nano B01 알루미늄 합금 케이스 버전만 냉각 팬이 장착되어 있으며, 다른 Jetson 보드 케이스 버전은 사용자가 별도의 냉각 팬을 제공해야 합니다.\u003c\/p\u003e\u003ch2\u003e사양\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e제품 유형\u003c\/td\u003e\n\u003ctd\u003e알루미늄 합금 케이스 (녹색 양극산화 처리)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e상단 커버 디자인\u003c\/td\u003e\n\u003ctd\u003e홀로우 아웃 \/ 통풍\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e버튼\u003c\/td\u003e\n\u003ctd\u003e전원 버튼, 리셋 버튼\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e카메라 장착\u003c\/td\u003e\n\u003ctd\u003e단일\/이중\/쌍안경 카메라 지원; 180° 회전\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e안테나 지원\u003c\/td\u003e\n\u003ctd\u003e무선 네트워크 카드 고정을 위한 예약된 안테나 홀; M 지원.2 네트워크 카드 안테나 및 USB 네트워크 카드\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e예약된 인터페이스\u003c\/td\u003e\n\u003ctd\u003e예약된 메인보드 인터페이스 컷아웃; 40PIN 제어 보드 인터페이스 접근; 예약된 확장 홀\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e인터페이스 비교 노트\u003c\/td\u003e\n\u003ctd\u003eJetson Nano 4GB \/ Xavier NX \/ TX2-NX와 Jetson Nano 2GB(개발 보드 인터페이스)의 서로 다른 인터페이스 컷아웃이 표시됩니다.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003e포함된 항목\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e견고한 베이스\u003c\/li\u003e\n\u003cli\u003e홀로우 아웃 디자인 상단 커버\u003c\/li\u003e\n\u003cli\u003e듀얼 카메라 브래킷\u003c\/li\u003e\n\u003cli\u003e전원 버튼 및 리셋 버튼 구성 요소\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e*이 제품 배송 목록에는 Jetson 보드와 카메라가 포함되어 있지 않습니다.\u003c\/p\u003e\u003ch2\u003e설치 비디오\u003c\/h2\u003e\u003ch3\u003e녹색 알루미늄 합금 케이스 개요\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 보드용\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 보드용\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 보드용\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\u003e선택 또는 설치에 대한 지원은 support@rcdrone.top or 에 문의하거나 https:\/\/rcdrone.top\/를 방문하십시오.. \u003c\/p\u003e\u003ch2 id=\"details\"\u003e세부정보\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 개발 보드를 위해 설계된 통풍 패널과 포트 및 버튼에 대한 깨끗한 접근을 제공하는 녹색 양극산화 알루미늄 합금 하우징입니다.\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 및 TX2-NX의 공식\/SUB 버전과 호환됩니다.\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\u003e통풍이 있는 상단 커버를 통해 공기 흐름을 추가하기 위해 냉각 팬이 포함된 Jetson Nano B01 번들을 선택하십시오.\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\u003eM.2 Wi‑Fi 안테나 지원 및 다양한 Jetson 보드를 위한 안테나 전용 옵션을 포함한 여러 구성 옵션이 제공됩니다.\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\u003e조정 가능한 카메라 브래킷은 단일, 이중 또는 쌍안경 카메라 설정을 지원하며 최대 180° 회전합니다.\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\u003e예약된 안테나 장착 위치는 M.2 네트워크 카드 안테나 또는 USB 네트워크 어댑터를 사용하는 무선 설정을 지원합니다.\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\u003e녹색 아노다이징 및 알루미늄 합금 구조는 보드를 보호하면서 경량 및 내구성을 유지하는 데 도움을 줍니다.\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\u003e정밀한 컷아웃은 40핀 헤더 영역 및 예약된 확장 개구부를 포함하여 마더보드 인터페이스에 접근할 수 있도록 유지합니다.\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\u003e콤팩트한 인클로저 크기는 124 × 95 × 62 mm이며 두께는 1.5 mm, 무게는 191 g입니다.\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\u003e실시간 빌드 뷰는 외부 포트 접근 및 배선, 냉각 및 보드 설치를 위한 내부 공간을 강조합니다.\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\u003e야붐 그린 알루미늄 합금 케이스 키트에는 베이스와 통풍구가 있는 커버, 카메라 브래킷, 나사, 배선이 있는 스위치, 조립을 위한 작은 드라이버가 포함되어 있습니다.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"케이스 + 쿨링 팬","offer_id":53137563549920,"sku":"6000300986-1","price":24.99,"currency_code":"USD","in_stock":true},{"title":"케이스+안테나+쿨링 팬+네트워크 카드","offer_id":53137563582688,"sku":"6000300986-2","price":44.5,"currency_code":"USD","in_stock":true},{"title":"케이스+안테나","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\/ko\/collections\/nvidia.oembed?page=2","provider":"RCDrone","version":"1.0","type":"link"}