基于深度学习的人脸识别会议考勤系统开发

Face Recognition Meeting Attendance System Based on Deep Learning

考勤签到是企事业单位日常管理中的重要组成部分,当前常用的考勤方式存在代签与考勤数据统计效率低下等问题。设计开发一款基于深度学习的人脸识别会议考勤管理系统,该系统采用深度卷积神经网络实现人脸识别,能够对部门、人员、会议、参会情况等信息进行管理与统计分析,系统识别度高、检测速度快,能够有效地满足小型单位部门的会议考勤需求。

Attendance management is an important part of the daily routine in enterprises and institutions.However,there are a few of shortcomings in the currently used attendance check-in approaches,such as proxy check-in and inefficient data statistics.In this paper,a face recognition meeting attendance management system based on deep learning is proposed.The attendance check-in is implemented by face recognition in the system,and the information of departments,posts,meetings,etc.,can be managed conveniently.The system has the advantages of high recognition precision and fast detection,which can meet the attendance management needs of small units.