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
Key words
deep learning/facial recognition/attendance system/teaching management
维普
万方数据