基于全量数据中心和特征值提取的人脸识别门禁系统建设--以南京体育学院为例  

Research on the Construction of a Face Recognition Access Control System Based on Full Data Center and Eigenvalue Extraction--Taking Nanjing Institute of Physical Education as an Example

作　　者：冯新淇 谭海涛 王海 魏宁[1] Feng Xinqi;Tan Haitao;Wang Hai;Wei Ning(Nanjing Institute of Physical Education,Nanjing 210000)

机构地区：[1]南京体育学院,江苏南京210000

出　　处：《中阿科技论坛（中英文）》2022年第3期126-129,共4页China-Arab States Science and Technology Forum

基　　金：江苏省现代教育技术研究2020年度智慧校园专项课题“基于现代信息技术的校级全量数据中心建设研究”(2020-R-84318)的研究成果。

摘　　要：随着信息技术的快速发展,人脸识别门禁系统在高校信息化管理中逐渐普及,人脸识别技术也逐渐在更多人工智能新场景下发挥作用。本文提出一种基于全量数据中心和特征值提取的人脸识别门禁平台架构,解决了在门禁系统建设过程中的诸多人员数据相关技术问题,并利用数据中台架构和特征值提取等技术保障了门禁平台的兼容性、扩展性和安全性。结合南京体育学院门禁系统的建设案例,分析建设过程中存在的困难,并利用本文构建的技术架构生成解决思路和方法,最终完成校园门禁系统的设计与实现。With the booming of information technology,face recognition access control systems have been extensively applied in the information management of colleges and universities,and played a significant role in more artificial intelligence scenarios.This paper proposes the framework of a face recognition access control platform based on full data center and eigenvalue extraction,which solves various technical problems related to personnel data,and the application of data middle platform and eigenvalue extraction technology ensures the compatibility,scalability and security of access control platforms.Combined with the construction of the access control system of Nanjing Institute of Physical Education,the difficulties in the construction process are analyzed,and solutions and methods are proposed using the technical framework constructed in this paper,and finally the design and implementation of the system is completed.

关 键 词：全量数据中心 特征值提取 人脸识别 门禁系统 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]