摘要
为了解决智能商场中对顾客导引需求,设计并实现了一套基于人脸识别技术的智能商场导引系统,系统主要由人脸信息录入终端、云端服务器和人脸识别模块三个部分组成,并用特征存储方式取代图片存储方式对系统进行优化。测试表明,该系统稳定可靠,识别准确率符合设计要求,能够在顾客无须佩戴任何智能设备的情况下满足商场的导引需求,相较于传统人脸识别系统更加安全地保护了顾客的个人信息。
In order to meet the needs of customer guidance in intelligent shopping mall,a set of intelligent shopping mall guidance system based on face recognition technology is designed and implemented.The system is mainly composed of three parts:face information input terminal,cloud server and face recognition module.The feature storage method is used to replace the image storage method to optimize the system.The test results show that the system is stable and reliable,and the recognition accuracy meets the design requirements.It can meet the guidance needs of shopping malls without customers wearing any intelligent devices.Compared with the traditional face recognition system,it can protect customers'personal information more safely.
作者
王志斌
丁万春
李永新
WANG Zhibin;DING Wanchun;LI Yongxin(School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210018;ITAB Commercial Facilities(China)Co.,Ltd.,Suzhou 215000)
出处
《现代计算机》
2021年第19期133-141,共9页
Modern Computer
关键词
商场导引
人脸识别
图像处理
Shopping Guide
Image Recognition
Image Processing