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亿级人像比对系统架构设计及优化
引用本文:余铭华.亿级人像比对系统架构设计及优化[J].教育技术导刊,2019,18(7):128-132.
作者姓名:余铭华
作者单位:上海银晨智能识别科技有限公司,上海 201203
摘    要:为满足公安机关大规模人像数据库的比对应用需求,提高人像比对系统应用规模和可用性,采用结构化开发方法,从应用层、数据库层、主机层、存储层等方面对人像比对系统进行模块化架构设计和优化。系统能够支撑15亿以上人像比对库容量,实现了全国范围的人像自动比对和纠错,提高了身份辨认速度。系统平均建模速度、平均比对速度和查重速度分别提升38%、41%和55%。优化后的人像比对系统在保证识别率高的同时能够快速处理海量数据,满足公安机关应用需求,有效解决了户口登记管理中的“错、重、假”问题。

关 键 词:人像比对系统  架构设计  系统优化  高可用系统  
收稿时间:2018-12-19

Design and Optimization of Billion Level Face Recognition System Architecture
YU Ming-hua.Design and Optimization of Billion Level Face Recognition System Architecture[J].Introduction of Educational Technology,2019,18(7):128-132.
Authors:YU Ming-hua
Institution:ISvision Technologies Co.,Ltd., Shanghai 201203, China
Abstract:In order to meet the needs of the public security organs for large-scale portrait database application, and to improve the application scale and scene and high availability of the face recognition system, we use the structured development methodology, modular architecture designs and optimize the face recognition system from application layer, database layer, host layer, and storage layer, etc. The system can support more than 1.5 billion portrait matching library capacity, which realizes nationwide automatic comparison and correction of portraits, speeds up the identification process of relevant personnel in relevant departments. The mold speed, average comparison speed, and check speed were increased by 38%, 41%, and 55%, respectively. After optimization, the face recognition system can quickly process massive data while ensuring high recognition rate, meet the application requirements of public security agency, and effectively solve the problem of wrong, repeated and fake information in the registration management of household registration.
Keywords:face recognition system  architecture design  system optimization  system with high availability  
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