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.
Details

A plug-and-play USB camera module built for high-frame-rate vision projects, with up to 1080P output and 2MP imaging.

Compared with typical USB cameras, it prioritizes higher resolution, a wider field of view, and faster frame rates for smoother capture.

Designed for AI visual recognition and autonomous driving development where a wide view and responsive frame rate matter.

USB 2.0 connectivity keeps setup simple, and the included 30cm cable helps with tidy mounting on small builds.

Works with common development platforms such as Raspberry Pi, Jetson series boards, and RDK series boards over USB.

Wide-angle framing helps cover more of the scene for tracking, detection, and navigation tasks.

Step-by-step tutorials and demo projects are available via Yahboom’s online learning resources for quick experimentation.

A compact square PCB camera module that fits easily into robotics, vision, and embedded prototypes.


Key specs include a 32×32mm board size, YUV/MJPG formats, and USB 2.0 power/data over 5V.

Frame rate and viewing angle vary by resolution, with higher FPS available at lower resolutions for performance tuning.
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