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640×480 3.4W 940nm VCSEL RGB Face Recognition Camera

    Buy cheap 640×480 3.4W 940nm VCSEL RGB Face Recognition Camera from wholesalers
     
    Buy cheap 640×480 3.4W 940nm VCSEL RGB Face Recognition Camera from wholesalers
    • Buy cheap 640×480 3.4W 940nm VCSEL RGB Face Recognition Camera from wholesalers
    • Buy cheap 640×480 3.4W 940nm VCSEL RGB Face Recognition Camera from wholesalers
    • Buy cheap 640×480 3.4W 940nm VCSEL RGB Face Recognition Camera from wholesalers
    • Buy cheap 640×480 3.4W 940nm VCSEL RGB Face Recognition Camera from wholesalers
    • Buy cheap 640×480 3.4W 940nm VCSEL RGB Face Recognition Camera from wholesalers

    640×480 3.4W 940nm VCSEL RGB Face Recognition Camera

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    Brand Name : SCANMAX
    Model Number : M5
    Certification : CE, RoHS
    Price : Negotiation
    Payment Terms : Western Union, T/T, Paypal
    Supply Ability : 200PCS/Week
    Delivery Time : Within 5 working days after receiving the balance
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    640×480 3.4W 940nm VCSEL RGB Face Recognition Camera

    RAKINDA M5 IP Camera And RGB Camera for Face Recognition Access Control

    Scanmax Facial Module M5 Datasheet-EN.pdf


    RGB Face Recognition Camera Product Description
    RAKINDA M5 product is a new generation of miniaturized RGBD cameras independently developed by Rakinda Internet of Things Technology Co., Ltd. The product integrates a 640 × 480 pixel TOF depth camera and a 5 million pixel RGB camera.
    The miniaturized and ultra-thin size structure is suitable for various embedded and handheld detection terminals, and realizes functions such as face recognition, living body detection, scene recognition, and gestures. The product provides a complete SDK, and users can perform device integration and secondary development according to their own needs.


    Product Features:
    ⚫Design based on TOF principle;
    ⚫High resolution, depth map resolution is 640×480;
    ⚫High accuracy, up to 0.1%;
    ⚫Using 940nm VCSEL light source to support outdoor applications;
    ⚫Miniaturized and ultra-thin design, the appearance size is 55mm × 18mm × 10.6mm, suitable for various embedded applications;
    ⚫Accurate synchronization and alignment between depth, IR and RGB


    Product Parameters

    ParameterSpecifications
    ModelRAKINDA M5

    TOF

    Resolution (horizontal x vertical)640×480
    Field of view (horizontal and vertical)60°× 45°
    Frame Rate (fps)Maximum 30

    RGB

    Resolution (horizontal x vertical)Support 1080P/960P/720P/VGA

    Field of view (horizontal and vertical)

    74°× 56° @960P(Default)

    63°× 37° @1080P

    74°× 42°@720P

    74°× 56°@VGA

    Frame Rate (fps)Maximum 30
    Video CodingJPEG,RGB
    Detection range(unit:m)注 10.3 - 1.2
    Measurement accuracy注 20.1%
    Measurement accuracy注 31%
    Light source940nm VCSEL
    Data transmission interfaceMicro USB
    Power supply5V
    Typical power consumption(W)3.4
    Operating temperature(℃)0-45
    Operating systemWindows7 and above,Linux,Android

    Structure size (length × height × depth, single

    Bit: mm)

    55×18×10.6(Module without mounting steel)

    65.8×18×10.6( Module without mounting steel)


    ⚫Note 1: Measurement distance: For white wall test with 90% reflectivity, the detection distance in the center area; reflectance has an impact on measurement distance, accuracy and accuracy.
    ⚫Note 2: Measurement accuracy: For the white wall test with 90% reflectance, the root mean square error of the repeated test in the center area.
    ⚫Note 3: Measurement accuracy: for the white wall test with 90% reflectivity, the error between the measurement distance and the true distance.
    ⚫Note 4: If the board-level power supply USB port 5V power current is greater than 1A, the power can be directly supplied through the USB port; if the current is less than 1A, power is supplied through the dedicated accessory cable.
    ⚫Note 5: The module form and embedded design must be used with the whole machine for heat dissipation design; refer to the design guide or contact the manufacturer for heat dissipation scheme.



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