基于人脸识别的旅游景区自动安检系统研究  

Research on the automatic security system of tourist attractions based on face recognition

作　　者：薛淑敏[1] XUE Shumin(Baoji University of Arts and Sciences,Baoji Shanxi 721013,China)

机构地区：[1]宝鸡文理学院,陕西宝鸡721016

出　　处：《自动化与仪器仪表》2020年第9期156-160,共5页Automation & Instrumentation

基　　金：2018年宝鸡市科技计划项目(No.2018JH-21);2018年国家级大学生创新创业训练计划项目(No.201810721017);2018年校级科研计划项目(No.ZK2018096);2016年陕西省工业科技攻关项目(No.2016GY-083)。

摘　　要：针对当前旅游景区安全问题需要,结合人脸识别技术的优势,提出从系统和算法2方面对安检系统进行构建。在系统方案采用安检客户端和人脸识别端分开设计,并通过Socket通信实现两端通信;在人脸识别端,引入卷积神经网络对图像进行识别分类,并通过欧式距离完成图像对比。最后,通过系统和算法的测试,结果表明通过客户端可采集到人像,并完成人脸识别;在算法方面,卷积神经网络算法得到的系统准确率较高,且可精准实现人像和身份证图形的对比。In view of the need of the current security problems in tourist attractions,combined with the advantages of face recognition technology,this paper proposes to build a security system from two aspects of system and algorithm.In the system scheme,the security client and the face recognition client are designed separately,and the communication between the two ends is realized through socket communication;in the face recognition end,the convolution neural network is introduced to classify the image,and the image comparison is completed through the European distance.Finally,through the system and algorithm testing,the results show that the client can collect human images and complete face recognition;in terms of algorithm,the convolution neural network algorithm has a high system accuracy,and can accurately achieve the comparison of human images and ID card graphics.

关 键 词：人脸识别 旅游 安检系统 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]