虹识技术

Product details

product name:
Iris Recognition Private Cloud Computing Platform
product model:
product brief:
Iris Recognition Private Cloud Computing Platform provides a set of infrastructure and software platform for industry customers to provide high-speed iris comparison background service. These customers have their own independent computer room and data center, and are equipped with maintenance personnel, which can maintain the whole system on their own.

Specifications

System overview

Iris Recognition Private Cloud Computing Platform is an infrastructure and software platform to provide a set of iris high-speed comparison backstage services for industry customers. These customers have their own independent computer room and data center, with maintenance personnel, and can maintain the whole system on their own. The software platform of iris recognition private cloud platform is B/S architecture, which provides standard Web Service services for customers; customers can integrate according to the standard service interface defined. Through these service interfaces, customers can complete iris coding, iris 1:1 identity authentication, iris 1:N identity search and other services.


system architecture

Iris Recognition Private Cloud Computing Platform mainly includes six levels: client layer, interface layer, service layer, database layer, engine management layer, infrastructure layer. Front-end users access and use through the client layer. Users can independently research and identify the client side of the client layer with iris acquisition equipment. They send data processing requests to the service layer through the standard system service interface of the interface layer. The service layer reads the data of the database and communicates with the engine management layer. To send instructions for iris storage and recognition requests, complete iris storage and high-speed comparison in infrastructure layer, and return the results of requests to client application in client layer through interface layer.


The overall system architecture is shown below.


Iris Recognition Private Cloud Computing Platform


system composition

The platform is mainly composed of seven parts: network service management platform, network management server, comparison engine management platform, database service management platform, database tool platform, database management server and high-speed comparison engine.

Display interface of system management platform, display access record, comparison time, comparison result of network service management platform, etc.

Iris Recognition Private Cloud Computing Platform

The client accesses the monitoring interface of the service platform and displays the access status and time of the system's service interface.

Iris Recognition Private Cloud Computing Platform

Interface debugging details record interface, provide debugging of system interface integration

Iris Recognition Private Cloud Computing Platform


High Speed Code Comparing Engine

The Iris High Speed Coding Engine and High Speed Comparing Engine integrate the independent intellectual property rights of Iris Technology (K10/K20) using the mainstream communication interface, plug and play, low power consumption, high performance, small size, easy integration and installation, fast response, support UDP/IP communication mode, strong scalability. It can support the storage and comparison of iris data for millions of users and the encoding of large-scale iris pictures.

High-speed comparison engine is a system which uses high-speed comparison board as the core to accelerate the comparison of iris eigenvalues for different number of user groups. A single high-speed comparison board can support 2 million template loading, and can customize iris management solutions with high cost performance according to user needs. Taking HS-QSER-MAT1400 as an example, the specific system parameters of HS-QSER-MAT1400 are introduced in detail. HS-QSER-MAT1400 is an iris comparison acceleration engine for tens of millions of users. It supports seven high-speed comparison boards and up to 14,000,000 iris template databases for 1:N comparison. It provides a set of cost-effective solutions for large-scale iris comparison management. The parameters of HS-QSER-MAT1400 high-speed alignment engine are as follows: iris background alignment and acceleration alignment engine are as follows:

Iris Recognition Private Cloud Computing Platform

Below are the actual pictures of the service layout of the Homsh iris cloud computing platform, which can complete the high-speed iris comparison.

Iris Recognition Private Cloud Computing Platform


Specification parameters

Indicator items

Technical parameter requirements

basic function

Iris eigenvalue acceleration comparison

 

Core algorithm

Test conclusion of ROC curve evaluation based on recognition system performance

The FAR and FRR of PhaseIrisHW™ algorithm from small sample to large sample (107 magnitude) are stable.

FAR of monocular recognition is 10-7

FAR of binocular recognition is 10-7

 

Iris High Speed Intelligent Comparing Board

Comparison CPU

12

Comparison speed

800,000 Templates/s

Templates

Maximum support for 2,000,000 template loading

Network Speed

1000Mbps Network x2

power consumption

<25W

memory

16GB/32GB

data transmission

Supporting UDP/IP

Dimensions

233.3x166x160mm

PC Card

I7 kernel, 16GB memory, 256GB hard disk, standard working CPCI card

Comparison template

Maximum support for 14,000,000 template

Comparison speed

Maximum support for 5,600,000 template/s

power consumption

<220W

interface

Gigabit Network Port

Environmental Temperature

0℃~50℃

Storage temperature

-20℃~80℃