基于人脸识别的课堂考勤系统设计与实现  

Design and implementation of classroom attendance system based on face recognition

作　　者：张亮敬 姚国鹏 吴作洲 ZHANG Liangjing;YAO Guopeng;WU Zuozhou(Guangxi Science&Technology Normal University,Laibin 546199,China;Guangxi Houpu Digital Technology Co.,Ltd.,Nanning 530009,China)

机构地区：[1]广西科技师范学院,广西来宾546199 [2]广西厚溥数字科技有限公司,广西南宁530009

出　　处：《无线互联科技》2024年第22期23-27,共5页Wireless Internet Science and Technology

基　　金：2022年度广西科技师范学院科研项目:项目名称:基于深度学习和人脸识别的课堂自动考勤系统的研究与实现:项目编号:GXKS2022QN023;2024年度广西高校中青年教师科研基础能力提升项目:项目名称:基于改进的YOLOv5在甘蔗赤腐病检测与识别的应用研究:项目编号:2024KY0868;广西科技师范学院2024年第一批校级项目:项目名称:智能控制与信息处理重点实验室:项目编号:GXKSKYPT2024007。

摘　　要：文章旨在基于深度学习和人脸识别技术的融合,探讨高校教学管理中课堂自动考勤系统的设计与实现。文章通过应用深度学习和人脸识别技术,构建人脸识别模型并将其整合至考勤系统,利用摄像头实时捕获学生面部信息,与系统中存储的人脸特征进行匹配,从而实现课堂上的自动考勤。研究结果表明,该系统具备一定的创新性和实用性,不仅优化了学生考勤流程,建立了高效的自动化考勤系统,而且能有效提升高校课堂教学管理效率,为高校的课堂管理改革提供一定的借鉴价值。This study aims to explore the design and implementation of an automatic classroom attendance system in higher education management based on the integration of deep learning and facial recognition technology.By applying deep learning and facial recognition technology,a facial recognition model is constructed and integrated into the attendance system.Cameras are used to capture real-time facial information of students,which is then matched with stored facial features in the system to achieve automatic attendance in the classroom.The results indicate that this system is innovative and practical.It not only optimizes the student attendance process and establishes an efficient automated attendance system,but also effectively enhances the management efficiency of classroom teaching in higher education,which provides a reference for classroom management reform in universities.

关 键 词：深度学习 人脸识别 考勤系统 教学管理 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]