Product Overview
The Q20 chip takes Homsh Technology’s PhaseIrisTM 2nd-generation iris hard-core engine technology as its core, providing a single-chip solution for iris recognition and matching applications. It integrates advanced iris processing capabilities into a single chip, suitable for scenarios such as access control, smart locks, and iris collectors.
Performance Features
1. Core Acceleration Technology: Adopts PhaseIris Gen2 iris hard-core acceleration technology to achieve efficient iris data processing.
2. Interface Support:
Provides GPIO/IIC/Master FIFO interfaces externally.
Master FIFO Interface Compatibility: Supports FT2232/FT600; supports external bridge USB controllers (such as USB68013, USB3014/2014); supports external MCU/ARM controllers; maximum frequency of Master FIFO interface: 100MHz.
3. Camera and ISP Integration:
Supports 2 parallel-port camera inputs, with a maximum support of 5 million pixels.
Integrates ISP, supporting functions such as automatic exposure, channel balance, and image cropping.
4. High-Speed Matching Performance:
QSPI Flash read template matching: Up to 1,000 templates/s.
When an external USB2.0 interface is connected: Supports real-time transmission template matching, up to 2,000 templates/s.
When an external USB3.0 interface is connected: Supports real-time transmission template matching, up to 10,000 templates/s.
Application Fields
● Access Control Systems: Suitable for access control in office buildings, data centers, high-security areas, etc.
● Smart Devices: Can be applied to smart locks, smart safes, smart storage cabinets to achieve iris-based identity verification.
● Iris Collectors: As the core component of iris image collection devices, it supports efficient iris data collection and preliminary processing.
Why Choose Q20?
1. Hard-Core Engine Advantage: PhaseIris Gen2 hard-core acceleration technology ensures efficient and stable iris processing performance.
2. Rich Interface Compatibility: Diverse interfaces (GPIO/IIC/Master FIFO/USB) support flexible integration with various peripheral devices and controllers.
3. Scalable Matching Performance: Multi-level matching speeds (QSPI Flash/USB2.0/USB3.0) adapt to the needs of different scenarios.
4. Integrated ISP Capability: Built-in ISP simplifies camera integration and image preprocessing, reducing system design complexity.
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 Feature | Value or Support |
| Chip Model | Q20 |
| False Acceptance Rate (FAR) | < 10-7 |
| False Rejection Rate (FRR) | < 10-3 |
| Iris Localization Search Area | 768x768 pixels |
| Supported Iris Radius Pixel Range | 60 ~ 115 pixels |
| Supported Minimum Image Resolution | 2lp/mm |
| Encoding Speed | 60ms per image |
| Matching Speed | Up to 90,000 templates/s |
| Matching Engine | Supports Axi4-stream bus interface, 128-bit data width, non-pipelined structure |
| Algorithm Parameter Register Set | Real-time configuration, supports Axi4-lite/apb bus interface |
| Encoding Engine | Image 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 | √ |
Product Tags:
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Q20 Iris Chip FPGA Core – Single-Chip Solution for Iris Recognition and Matching Applications Images
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