Dear Customers, Due to Chinese New Year holiday period from 6th-Feb-2026 to 6th-Mar-2026.
All orders placed during this time will be shipped together After 10th-Mar-2026. We sincerely apologize for any inconvenience this may cause. Wishing everyone a happy Chinese New Year, good health, and abundant wealth!!! Dismiss
[High Compatibility] Native driver on Windows 11/10/7, Mac OS, Linux, Ubuntu and Android system. Raspberry Pi, Jetson Nano, Notebook, Desktop and Tablet PC
[Superior Performer] Up to 720P*30 fps. Support YUY2 and MJPEG format.
[Plug and Play USB Device] USB 2.0 High-speed and UVC standard device.
[Stable and Flexible] 32*32 mm compact size,Easy to be installed in various occasions. You also could buy the matching metal stamping shell on our Amazon shop separately.
HD Resolution and WDR: This camera adopts 2MP AR0230 Color COMS sensor with a 105dB wide dynamic range.
Frame Rates Default:
MJPG 1920X1080@30FPS; (default)
YUY2 1280X1024@5FPS; (default)
Plug&Play: UVC-compliant, support Windows, Linux, Mac OS and Andriod device with UVC, just connect the camera to PC, laptop or Raspberry Pi with the USB cable without extra drivers to be installed.
Applications: this tiny 32mmx32mm camera board can be installed in the most hidden and narrow position for a home video surveillance system, day&night low light vision camera system, dashcam or other machine vision application.
U20CAM-AR0230 camera module captures images in either linear or high dynamic range modes, with rolling-shutter readout.
It includes sophisticated camera functions such as in-pixel binning, windowing and both video and single frame modes.
It is designed for both low light and high dynamic range scene performance.
The AR0230 produces extraordinarily clear, sharp digital pictures, and its ability to capture both continuous video and single frames makes it the perfect choice for a wide range of applications.
U20CAM-IMX335 is a 5MP resolution camera module with STARVIS IMX335 CMOS sensor, image quality is very high and stable.
Features like a dynamic range up to 72 dB, advanced HDR functions and digital overlap HDR further improve the image quality and contrast behavior allowing for more detailed image analysis.
These features when combined with the low dark current performance and no smear further improve its performance in applications looking at both bright and dark regions at once.
The current module size is 32MM*32MM after your testing, we can adjust module size & shape according to your need, it will require some engineering cost. Compatible with Raspberry Pi ,Jetson Nano,PC Computers, Windows Linux Android Mac OS with UVC Driver.
5MP resolution with IMX335 CMOS sensor, STARVIS technology with high sensitivity performance, HDR (high dynamic range) function improves image quality and contrast behavior Excellent low illumination feature
Excellent image quality, Low power consumption
Plug And Play: UVC-compliant, support Windows, Linux, Mac OS and Android device with UVC, just connect the camera to PC, laptop or Raspberry Pi with the USB cable without extra drivers to be installed.
2MP resolution with OmniVision OV2719 CMOS sensor,Full HD 1080P resolution & 30fps frame rate, High quality image
UVC compliant, Plug & Play,Support Linux, Android, Mac and Windows,Module size is 32MM*32MM Widely used for Face recognition, AI, Computer vision, Robotics, Machine vision, imaging
Plug&Play: UVC-compliant, support Windows, Linux, Mac OS and Andriod device with UVC, just connect the camera to PC, laptop or Raspberry Pi with the USB cable without extra drivers to be installed.
U20CAM-PS5268 is 2MP resolution with PS5268 sensor, which features high sensitivity of 5800 mV/Lux-sec and wigh dynamic range (wDR) of 85dB, and can be used for all kinds of lighting conditions.
Our camera module size is 32mmx32mm and can be customized as per your requirement;
Also, A wide range of different lenses are available, with focal length from 2.8mm to 12mm, with view angle from
This camera module is widely used for many applications like security, surveillance, CCTV, industrial automation, automotive, factory automation, monitoring, access control, artificial intelligence (AI), machine vision, robotics, robots, computer vision, agriculture, education, 3D, detection, vision system, imaging, etc
【High-Performance IMX296 Sensor】1/2.9″ global shutter CMOS with 1.58MP (1456×1088) resolution, 3.45µm pixels, and true 60FPS at full resolution (MONO8) – delivers distortion-free imaging for motion analysis, scientific research, and high-speed industrial applications.
【Flexible ROI & Ultra-High Frame Rates】Arbitrary single-region ROI support boosts frame rates inversely with rows, exceeding 1900FPS in reduced-height modes, analog gain 0-48dB (0.1dB steps) and long exposure up to 16+ seconds for precise control.
【Advanced Triggering & Synchronization】Opto-isolated hardware trigger (5-24V), software trigger, and strobe output with 0.1µs (100ns) hardware timestamping – ideal for deterministic timing in robotic pick-and-place, inspection, and area-scan emulation.
【Full USB3 Vision & GenICam Compliance】100% plug & play with standard GenICam nodes for ROI, gain, exposure, I/O, and more, includes on-board temperature sensor, “Find Me” LED, and unique 64-bit serial number for multi-camera setups.
【Rugged Industrial Design with Lens Options】Default M12 lens (YT10068-2mp 6MM, no IR filter), optional CS lens (FA1614/10MP/C), compatible with Aravis, eBUS Player, OpenCV on Windows/Linux/macOS, includes USB3.0 cable and 6-pin Hirose trigger cable.
The USB to CAN Converter Cable compatible with all series Raspberry Pi/Jetson Nano/Tinker Board/any single board computer, desktop and laptop.
The USB CAN Cable support Windows System, Mac OS and Linux, Raspbian(v5.4 kernel), Ubuntu.
Plug and Play USB CAN device. No external power required. Support wider CAN baud rate, from 20Kbps to 1Mbps can be programmed arbitrarily. Support for CAN bus 2.0A and 2.0B specification.
Provides 3000V voltage isolation and 2500V ESD isolated protection on signal pins.120 Ohm resistor selectable jumper feature.
Provide C/Python and source code with Socket-CAN for Raspbian(Linux), Dynamic library and demo with IOUSBKit for Mac Os(Big Sur).
