Design and Implementation of Facial Recognition Attendance System Using Raspberry Pi 4

In this paper present attendance system using Raspberry Pi 4. If attendance is managed manually, it can impose a significant load on teachers. A sophisticated and automated management system is employed to address this issue. This system provides a straightforward solution to the issue of certifying and marking students as present, even if they are not physically there. This system records real-time attendance. Video frames are extracted using the OpenCV library. The primary steps involved in the implementation of this system are the identification of recognised faces, for which the dlib library is utilised. Subsequently, it should be feasible to merge the identified faces by comparing them with a database that includes the student's facial features. This methodology is an effective strategy for overseeing student engagement.