A Smart Automated Attendance Monitoring System Using Deep Learning Model

Managing student attendance by hand or through ERP can be a big task for teachers and faculty members. The smart and automatic attendance system is easier to make the process in an efficient manner. During the analysis process, feedback from the user is done. The proposed system helps to stop issues like student marking attendance for friends(proxies) who aren't actually in the class. It's always live through video feed and can be used for attendance. OpenCV captures the video frames, and the system also uses dlib to detect and recognize faces. It recognizes faces that are matched with a database of student photos to mark attendance. The proposed model gives an effective Automated tool that tracks the student time presence. © 2024 IEEE.