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Q31 Iris Chip FPGA Core – Cost-Optimized Single-Chip Solution for Iris Recognition and Matching

    Buy cheap Q31 Iris Chip FPGA Core – Cost-Optimized Single-Chip Solution for Iris Recognition and Matching from wholesalers
     
    Buy cheap Q31 Iris Chip FPGA Core – Cost-Optimized Single-Chip Solution for Iris Recognition and Matching from wholesalers
    • Buy cheap Q31 Iris Chip FPGA Core – Cost-Optimized Single-Chip Solution for Iris Recognition and Matching from wholesalers

    Q31 Iris Chip FPGA Core – Cost-Optimized Single-Chip Solution for Iris Recognition and Matching

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    Brand Name : HOMSH
    Certification : ISO9001
    Delivery Time : 5-9day
    Payment Terms : T/T
    Model Number : Q31
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    Q31 Iris Chip FPGA Core – Cost-Optimized Single-Chip Solution for Iris Recognition and Matching

    Product Overview

    The Q31 iris recognition chip takes Homsh Technology’s PhaseIrisTM 3rd-generation iris hard-core engine technology as its core, providing a cost-optimized single-chip solution for iris recognition and matching applications. It balances performance and cost, suitable for lightweight iris recognition scenarios such as smart door locks and private storage.

    Performance Features

    1. Core Acceleration Technology: Adopts PhaseIris Gen3 iris hard-core acceleration technology (area optimization mode) to ensure the efficiency of iris data processing while controlling costs.

    2. Interface and Camera Support:

    Provides GPIO/IIC interfaces.

    Supports 1 parallel-port camera input, with a maximum support of 5 million pixels; integrates ISP, supporting functions such as automatic exposure, channel balance, and image cropping.

    3. Matching and Image Output:

    Supports QSPI Flash read template matching, up to 4,000 templates/s.

    Supports DVP digital image output, up to 2 million pixels.

    Application Fields

    ● Smart Terminal Security: Suitable for devices such as smart door locks, safes, and private storage cabinets to realize iris recognition-based identity verification and secure access.

    ● Lightweight Information Systems: Can be used in scenarios such as information login terminals to provide iris-level security for personal private data access.

    Why Choose Q31?

    1. Balance Between Cost and Performance: Based on the "area optimization mode" of PhaseIris Gen3 hard-core technology, it ensures core iris processing capabilities while controlling costs.

    2. Adaptation to Lightweight Scenarios: 1 parallel-port camera input + DVP output + 4,000 templates/s matching speed, perfectly matching the needs of lightweight scenarios such as smart door locks and private storage.

    3. High Security and Precision: FAR < , FRR < , and full-process iris algorithms (localization, liveness detection, matching, etc.) ensure the security and accuracy of identity verification.

    As a professional enterprise in the biometric sector, Wuhan Homsh Technology drives secure authentication through technological innovation. Leveraging proprietary core algorithms, end-to-end technical capabilities, and high-precision hardware expertise, we provide professional support for our full range of biometric products, including iris recognition and vein recognition.

    We cater to the needs of global industries like finance and security, offering technical consultation, custom development, and round-the-clock after-sales support. We look forward to partnering with global counterparts to build a secure authentication ecosystem via biometric technology and empower industrial digital upgrading.

    Technical Parameters:

    Parameter and FeatureValue or Support
    Chip ModelQ31
    False Acceptance Rate (FAR)< 10-7
    False Rejection Rate (FRR)< 10-3
    Iris Localization Search Area768x768 pixels
    Supported Iris Radius Pixel Range60 ~ 160 pixels
    Supported Minimum Image Resolution2lp/mm
    Encoding Speed50ms per image
    Matching SpeedUp to 4000 templates/s
    Matching EngineSupports Axi4-stream bus interface, 4-bit data width, full-time flow structure
    Algorithm Parameter Register SetReal-time configuration, supports Axi4-lite/apb bus interface
    Encoding EngineImage cache supports external shared memory, encoding engine RAM interface width configurable as 32/16/8-bit, interface mode: master
    Iris Localization
    Liveness Detection
    Iris Clarity Assessment
    Iris Segmentation
    2D Image Transformation
    Feature Extraction
    Iris Matching

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