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    AJMRTC 2MP OV2735 Low Distortion Pi USB Camera, USB2.0 Plug-and-Play Webcam, Fixed Focus Distortion-Free Lens for Raspberry Pi, Jetson RDK, Machine Vision & AI Vision Projects

    • - Brand AJMRTC 2MP OV2735 distortion-free USB camera, USB2.0 interface for Raspberry Pi and Jetson RDK, Production PN: OV2735-USB2-CAM-2MP
    • - OV2735 CMOS image sensor delivers 2MP resolution with low distortion lens for clear undistorted image capture
    • - USB 2.0 UVC protocol, no extra driver installation required for fast integration on embedded platforms
    • - Compact camera module, suitable for object detection, image acquisition and edge AI vision applications
    • - Stable video streaming, great for robotics, industrial inspection and Raspberry Pi / Jetson RDK vision development
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    Any questions? Our AI mode will help you find out quickly.

    AJMRTC 2MP OV2735 USB Camera is a distortion-free machine vision camera module built around the OV2735 CMOS sensor. The production part number is OV2735-USB2-CAM-2MP. It adopts a low-distortion optical lens to minimize image warping, making it ideal for AI recognition and measurement tasks.

    The camera uses standard USB2.0 UVC video class protocol, supporting plug-and-play operation on Raspberry Pi, Jetson RDK and other Linux/Windows systems without proprietary drivers. It outputs smooth 2MP video streams for image capture, object detection and visual monitoring.

    Compact size makes it easy to mount inside robotics and embedded equipment. Perfect for edge AI, industrial visual inspection, smart monitoring and robot vision projects. Note: Single board computer and mounting accessories are sold separately.

    Specifications
    1. Brand: AJMRTC
    2. Product Type: 2MP OV2735 Distortion-Free USB Camera
    3. Production Part Number: OV2735-USB2-CAM-2MP
    4. Image Sensor: OV2735 CMOS
    5. Resolution: 2MP
    6. Lens: Low distortion / distortion-free fixed focus lens
    7. Interface: USB 2.0, UVC compliant
    8. Compatible Platform: Raspberry Pi, Jetson RDK
    9. Application: Machine vision, object detection, edge AI, image acquisition, robotics
    10. Note: Host board and mounting hardware not included


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