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HS-PVM310 Palm Vein Module

    Buy cheap HS-PVM310 Palm Vein Module from wholesalers
     
    Buy cheap HS-PVM310 Palm Vein Module from wholesalers
    • Buy cheap HS-PVM310 Palm Vein Module from wholesalers

    HS-PVM310 Palm Vein Module

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    Brand Name : Homsh
    Model Number : HS-PVM310
    Certification : ISO9001
    Price : Negotaible
    Payment Terms : T/T
    • Product Details
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    HS-PVM310 Palm Vein Module

    Product Features:

    Non-contact recognition, safe and hygienic

    Based on hemoglobin absorption infrared imaging technology, ultra-high security

    Captures subcutaneous vein features of the palm, protecting personal biometric privacy information

    0.2S ultra-fast recognition, rapid experience

    Supports 360° palm rotation for a superior experience

    Intelligent AI recognition engine, fail-safe

    12-25cm ultra-wide effective recognition distance

    Palm visualization guidance, convenient and fast

    USB2.0 interface, strong compatibility

    Designed with a compact size of 32*32*11mm, highly adaptable

    supports Windows/Linux/Android system mainboard

    Provides interface calling documentation for easy secondary development

    Application Scenarios

    Various hardware products that require the integration of palm vein recognition modules

    Access control attendance machines, payment machines, passageway turnstiles, lockers, gun cabinets, equipment cabinets, and other non-contact identity recognition scenarios

    Technical Specifications

    No.

    Specification Item

    Description

    1

    Working Mode

    Palm vein (1:N recognition)

    Palm vein (1:1 verification)

    2

    Recognition Speed

    1:N mode:<1S (N=5,000 ID)

    1:1 mode:<0.2S

    Note: This indicator is based on the standard software and hardware environment of this product, calculated based on single-hand collection per person, and the actual speed is related to the performance of the upper computer motherboard.

    3

    Recognition Rate

    False Rejection Rate (FRR)<0.01%

    False Acceptance Rate (FAR)<0.001%

    Note: This data is from laboratory testing, and actual data may vary depending on environmental factors of the usage scenario.

    4

    Recognition Angle

    Horizontal Rotation Angle: 360°

    Horizontal Tilt Angle: ±20°

    5

    Recognition Distance

    Non-contact

    Effective recognition distance 120mm-250mm

    Note: Based on standard palm size measurement, different environments and palm sizes may result in differences in effective recognition distance.

    6

    User ID Number

    Recommended not to exceed 10,000 ID (single hand mode)

    7

    Image Type

    Near-infrared grayscale image

    8

    Distortion Rate

    1%

    9

    Communication Interface

    USB2.0 (5P 1.25mm pitch)

    10

    System Support

    Windows/Android/linux(ubuntu debian)

    11

    Power Supply Requirements

    5V±3%/500mA

    12

    Application Scenarios

    Indoor, avoid sunlight exposure, and avoid being directly opposite to doors and windows at a close distance.

    13

    Applicable Population

    Recommended for people over 12 years old

    14

    Lighting Environment Requirements

    Natural light (sunlight)

    Registration:<2000Lux, Recognition:<3000Lux

    Fluorescent light

    Registration:<2000Lux, Recognition:<3000Lux

    Incandescent/Halogen light

    Registration:<500Lux, Recognition:<700Lux

    15

    Operating Temperature

    -10℃~60(ambient temperature)

    16

    Operating Humidity

    Relative humidity 10%~95%, no condensation

    17

    Dimensions

    32*32*11mm (length*width*height) (bare board)

    18

    Third-party Integration

    Provides interface calling documentation for third-party system

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