作者简介:田 丽(1980—),大连理工大学高级工程师.研究方向:高校信息化研究.E-mail:dltianli@dlut.edu.cn
中文责编:坪 梓
DOI: 10.3724/SP.J.1249.2020.99165
为改善现有考勤系统智能性方面的欠缺,提升考勤准确率和效率,提出一种基于IPv6的人脸识别考勤管理系统. 该系统综合运用物联网、人脸识别、IPv6、数据分析和Web服务等技术,升级了一个分层的软件体系架构,主要包括人脸数据采集传输层、人脸比对信息处理层及考勤信息发布层,具备人脸自动抓拍、人脸平台识别比对和实时统计查询信息等功能. 经应用测试,该系统可有效采集师生人脸数据进行考勤,数据传输稳定性好,人机操作界面稳定易用. 该系统可提供面向全校师生的以人脸作为身份标识的校园服务,对推进考勤自动化、智能化和信息化建设具有重要意义.
An IPv6-based face recognition attendance management system is proposed to improve the lack of intelligence of the existing system and improve the attendance accuracy and efficiency of attendance. This system integrates the technologies of internet of things, face recognition, IPv6, data analysis, web services, etc., and upgrades a layered software architecture, mainly including face data collection and transmission layer, face comparison information processing layer, and attendance information dissemination layer. The system has functions such as automatic face capture, face platform recognition and comparison, real-time statistics query information, etc. The application testing shows that the system can effectively collect face data of teachers and students for attendance, and has good stability of data transmission and stable human-computer operation interface. The system can provide campus service with the face as the identity mark for all teachers and students, which is of great significance for promoting the automation, intelligence and informatization of attendance.