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Wuhan Homsh Technology Co.,Ltd.
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K20 FPGA Kun Core Iris Recognition Chip – Chip-Level Hardware Platform for Large, Medium and Small-Scale High-Speed Matching Management

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K20 FPGA Kun Core Iris Recognition Chip – Chip-Level Hardware Platform for Large, Medium and Small-Scale High-Speed Matching Management

Brand Name : HOMSH

Place of Origin : China

Certification : ISO9001

MOQ : 1

Delivery Time : 5-9day

Payment Terms : T/T

Model Number : K20

Product Name : Iris Chip

Comparison kernel : 6

Comparison speed : 400.000 template/second

Power dissipation : <10W

Support interface : Gigabit, 10-Gigabit, PCIe

Chip package : 31mm*31mm

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Product Overview

The K20 FPGA Kun Core iris recognition chip adopts Homsh Technology's self-owned intellectual property iris algorithm PhaseIris HWTM (Patent No.: ZL 201410430535.2), integrates 6 matching cores, and relies on technologies such as FPGA multi-core concurrent processing, Gigabit/Ethernet 10G high-speed communication, and DDR high-speed access to provide a chip-level hardware platform solution for large, medium and small-scale high-speed matching management.

Functional Features

1. Multi-Core High-Speed Matching: Integrates 6 matching cores with a matching speed of 400,000 templates per second. With FPGA multi-core concurrent processing technology, efficient iris matching (recognition) is realized.

2. High-Speed Communication and Data Support: Combines Gigabit/Ethernet 10G high-speed communication technology and DDR high-speed access technology to ensure high-speed transmission and processing of iris matching data.

3. Rich Interface Adaptation: Supports Gigabit Ethernet, Ethernet 10G, and PCIe interfaces to meet the needs of large-scale data transmission and system expansion.

Application Fields

Iris high-speed matching systems

Application Solutions

Iris High-Speed Matching Engine: Based on Kun Core K20, combined with large-capacity DDR memory modules and high-speed external network communication interfaces, network communication interface and protocol development, multi-core matching and control strategy development are carried out to realize high-speed matching functions.

Why Choose K20 FPGA Kun Core?

1. Algorithm and Technology Advantages: Relying on the self-patented algorithm PhaseIris HWTM, combined with FPGA multi-core concurrency, Gigabit/Ethernet 10G high-speed communication and other technologies, the efficiency and reliability of iris matching are guaranteed.

2. Adaptation to Multi-Scale Scenarios: Provides chip-level support for large, medium and small-scale high-speed matching management, covering the needs of various iris matching application scenarios.

3. Flexible Integration and Expansion: Supports Gigabit Ethernet, Ethernet 10G, and PCIe interfaces, which is convenient for integration with external systems (such as large-capacity storage, high-speed networks) and adapts to complex iris high-speed matching systems.

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

Item Description
Product Name Iris Chip
Comparison kernel 6
Comparison speed 400.000 template/second
Power dissipation <10W
Support interface Gigabit, 10-Gigabit, PCIe
Chip package 31mm*31mm
K20 FPGA Kun Core Iris Recognition Chip – Chip-Level Hardware Platform for Large, Medium and Small-Scale High-Speed Matching Management

Product Tags:

Iris Chip Automated Identification

      

2MB Flash Iris Chip

      

Iris Chip 10W

      
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