Q30 FPGA Core Iris Chip – Single-Chip Solution for Iris Recognition
and Matching with Strong Encoding & Matching Capability
Product Overview
The Q30 chip takes Homsh Technology’s PhaseIrisTM 3rd-generation iris hard-core engine technology as its core,
providing a single-chip solution for iris recognition and matching
applications. It offers ultra-strong iris encoding capability and
matching computing capability, making it suitable for scenarios
requiring high-performance iris biometrics.
Performance Features
1. Core Acceleration Technology: Adopts PhaseIris Gen3 iris
hard-core acceleration technology (speed-priority mode) for
efficient and fast iris data processing.
2. Interface Support:
Provides GPIO/IIC/Master FIFO interfaces externally.
Master FIFO Interface: Supports external bridge USB controllers
(such as USB68013, USB3014/2014, FT2232/FT600); supports external
MCU/ARM controllers; maximum frequency of Master FIFO interface:
100MHz.
3. Camera, ISP & Image Output:
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.
Supports DVP digital image output, with a maximum of 2 million
pixels.
4. High-Speed Matching Performance:
QSPI Flash read template matching: Up to 7,000 templates/s.
When an external USB2.0 interface is connected: Supports real-time
transmission template matching, up to 14,000 templates/s.
When an external USB3.0 interface is connected: Supports real-time
transmission template matching, up to 40,000 templates/s.
Application Fields
● Large-Capacity Access Control: Suitable for access control systems
in scenarios with high traffic and large-scale user bases (e.g.,
enterprise campuses, government buildings).
● Small-Scale Iris Matching Servers: Can be used as a core component
in small-scale iris matching servers to support fast and accurate
iris recognition tasks.
Why Choose Q30?
1. 3rd-Gen Hard-Core Engine Advantage: PhaseIris Gen3 hard-core
acceleration technology ensures ultra-strong encoding and matching
performance, meeting high-demand application scenarios.
2. Rich Interface & Expansion: Diverse interfaces (GPIO/IIC/Master
FIFO/USB/DVP) support flexible integration with cameras,
controllers, and image output devices.
3. High-Speed Matching Scalability: Multi-level matching speeds
(QSPI Flash/USB2.0/USB3.0) adapt to different data throughput
requirements.
4. Integrated ISP & Image Output: Built-in ISP simplifies image
preprocessing, and DVP output enables direct digital image
transmission, optimizing system design efficiency.
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 | Q30 |
| False Acceptance Rate (FAR) | < 10-7 |
| False Rejection Rate (FRR) | < 10-3 |
| Iris Localization Search Area | 768x768 pixels |
| Supported Iris Radius Pixel Range | 60 ~ 160 pixels |
| Supported Minimum Image Resolution | 2lp/mm |
| Encoding Speed | 50ms per image |
| Matching Speed | Up to 3.2 million templates/s |
| Matching Engine | Supports Axi4-stream bus interface, 384-bit data width, fully
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 | √ |
