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Yahboom 2MP 1080P USB Drive-Free Camera, 120FPS, 80°–120° FOV for Raspberry Pi/Jetson Nano/RDK X3

Yahboom 2MP 1080P USB Drive-Free Camera, 120FPS, 80°–120° FOV for Raspberry Pi/Jetson Nano/RDK X3

Yahboom

नियमित रूप से मूल्य $41.93 USD
नियमित रूप से मूल्य विक्रय कीमत $41.93 USD
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Overview

This HD USB drive-free camera is designed for Raspberry Pi/Jetson NANO/RDK X3 series development boards, supporting 2MP imaging with up to 1080P output, high frame rate (up to 120FPS supported), and a wide viewing angle for AI visual recognition and autonomous driving projects.

Key Features

  • High frame rate USB camera: 2MP/1080P/120FPS (supported)
  • Wide angle of view: 80°–120° (depends on video resolution)
  • USB 2.0 interface; includes a free 30cm USB cable
  • Compatibility noted for Raspberry Pi, Jetson series, and RDK series development boards (including Raspberry Pi 5/4B/Pi 400 and RDK X3)

Specifications

Board size 32mm x 32mm
Image format YUV/MJPG
Image pixels 2MP (1080)
Data format 320*240 / 640*480 / 1280*720 / 1920*1080
Lens F2.8mm
Field of view 80°~120° (Depends on video resolution)
Frame rate 30fps~120fps (Depends on video resolution)
Distortion -17%
Sleep current < 10 mA
Working current < 200 mA
Interface mode USB 2.0
Working voltage DC 5V
Storage temperature -20°C to +60°C
Working temperature 0°C to +65°C

Note: Working temperature increases with frame rate. It is normal for the camera chip to be overheated when using high frame rates.

Resolution / Frame Rate / Viewing Angle (Reference)

Resolution Frames Camera angle Test environment
480P (640*480) Up to 120FPS (depending on computer performance) 80° PC / Raspberry Pi 4B / Jetson Nano
720P (1280*720) 60FPS 85° PC / Raspberry Pi 4B / Jetson Nano
1080P (1920*1080) 30FPS 120° PC / Raspberry Pi 4B / Jetson Nano

(The above parameters are the frame rate and equivalent field of view of the camera at different resolutions)

What's Included

  • Camera x1
  • USB cable x1 (30cm, USB2.0)

Tutorials & Video

Tutorial link: http://www.yahboom.net/study/Camera-HFR

Reference tutorial topics shown: Basic course, Docker, ROS vision course, Mediapipe course, Robot Vision course; Camera preview screen; QR code; Human pose estimation; Target Detection; AR vision; ROS+Open cv basics; Face recognition; harris corner detection; Target tracking algorithm; Contour moment; Polygon outline; Discrete fourier transform algorithm; Edge detection algorithm; Face detection algorithm; Optical flow detection algorithm; Contour detection; General contour detection; Feature point tracking; HLS color filtering; Hough circle detection; Hough linear detection; HSV color filtering; LK optical flow algorithm; Detection algorithm; Phase dependent displacement detection; Image pyramid sampling algorithm; RGB color filtering; Clear background detection algorithm; Simplified optical flow algorithm; Simple filter; Threshold image processing; OpenCV application (title partially unreadable).

For compatibility questions or order support, contact https://rcdrone.top/ or email support@rcdrone.top.

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