Attendance Management System Using Face Recognition

Abstract

Today’s educational institutions are concerned with students’ ongoing performance. One problem causing the reduction in student performance is the insufficient attendance. The most well-known methods of recording attendance include calling or signaling the students. It got harder and took longer. It is now necessary to have a computer-based student attendance monitoring system that enables the teacher to keep attendance records. In this project, we employed a clever face recognition-based attendance system. We have recommended setting up a “multi-use attendance management system using face recognition” in the area. Face permission allows for facial recognition in modern implementations, which reduces time and eliminates the possibility of proxy attendance. Additionally, this establishes when a particular predefined order was inserted, information on their presence. This project is implemented using Python, and development is done using PyCharm. The face landmark estimation set of guidelines is used in our work. Finding their faces and recording their attendance is the difficult part. This method eliminates the possibility of fake attendance because it uses the face as a biometric for authentication.