Camera Module
USB 2.0 UVC-compliant 3MP night vision camera module with AR0330 CMOS sensor and 6× 850nm IR LEDs. M12 lens mount supports 60° or 150° FOV. Works with ARM/Linux boards (ARM9 to Cortex-A53), V4L2/DirectShow SDK included. Industrial embedded vision at <0.7W.
Reduce driver development effort: UVC support enables quick evaluation
Support low-light validation: infrared LEDs help capture images in dark environments
Shorten PoC cycles: USB connection works well with PCs and embedded boards
Easy to extend to AI vision: suitable for OpenCV, V4L2, and GStreamer pipelines
This camera module complies with the USB Video Class (UVC) standard and works with all major operating systems that include UVC drivers: ARM embedded Linux, Windows, macOS, Android, and WinCE. When paired with CSUN's ARM9/ARM11/Cortex-A series development boards, it enables seamless transition from prototyping to mass production of AI camera solutions.
| Interface | USB 2.0, 300万画素 (3MP), 標準UVCプロトコル |
|---|---|
| Sensor | 1/3″ CMOS AR0330, 画素サイズ 2.2µm×2.2µm |
| Night Vision | 低照度赤外LEDライト 6粒搭載, LED ON/OFF SW付き, 850nm±10 |
| Sensitivity | 2.0V/(Lux-sec) |
| Lens EFL | 6mm±5%（視角60度）/ 2.1mm±5%（視角150度） |
| Wavelength | 850nm±10 |
| F/NO (Infinite) | F/NO=1.8 |
| Focus Range | 20mm～∞ |
| Optical Distortion | < -4.0% |
| Frame Rate | 30fps（MJPG/2048×1536）, 13fps（YUY2/2048×1536） |
| PCB Size | 2.6cm × 3.8cm |
| Lens Mount | M12 × P0.5 |
| Operating Voltage | 3.3V～5V |
| Power Consumption | < 0.7W |
| Operating Temperature | -10℃～75℃ |
| OS Support | WinXP/Vista/Win7～Win11, Mac-OS X 10.4.8+, Linux with UVC（≥2.6.26）, WinCE with UVC, Android 4.0+ |
| Software & SDK | AMCAP（カメラテスト）, VLC, DirectShow SDKソース, V4L2サンプル, Webカメラアプリ, 動体検知アプリ, QTアプリ |
Please request materials if you need datasheets, SDKs, V4L2 samples, DirectShow SDK, or evaluation documents.
It supports the standard UVC protocol, so it can be recognized as a standard camera in many environments.
It is designed for Linux / Debian boards such as ARM9, ARM11, Cortex-A9, and Cortex-A53 platforms.
With UVC / V4L2 support, it can be integrated into OpenCV, GStreamer, and V4L2-based image capture pipelines.
The 60° lens is suitable for focused views, while the 150° lens is better for wide-area observation.
Contact us for embedded AI camera, image recognition, night monitoring, or inspection device prototyping.
In care facilities facing severe staff shortages, there was an urgent need to reduce night monitoring burden and detect anomalies like falls and sudden health changes early. Privacy-conscious monitoring was a non-negotiable requirement.
For beauty devices supplied to major Japanese cosmetics companies, high-precision detection of micro-scratches, unevenness, and foreign particles was essential. Manual inspection suffered from large judgment variance and rising labor costs. Continuous improvement across multiple product generations was also required.
A compact camera module was needed for industrial handheld terminals, capable of high-speed, high-accuracy QR code reading. Stable reading performance in harsh indoor/outdoor environments was required, along with long-term reliable supply.
