The old way of controlling attendance is obviously a time-consuming one that makes it tough for the person in charge to keep track of students attendance. A more practical biometric student attendance system is required as we transition from manual to automated labour, which will lessen these challenges. The issue of manual labour can be solved using a variety of biometric approaches. Face recognition is projected to be employed in the student attendance system since it is seen to be the finest biometric method. This studys major goal is to comprehend the work that has already been done on a facial recognition-based student attendance system. The current study performed a literature review of earlier works based on face recognition-based student attendance management systems. The methods, strategies, and difficulties of face recognition are described in this work. Regarding research based on facial recognition, there are several difficulties. This research suggested a camerabased student attendance system that used facial recognition technology to address this problem.

Face Detection

Face Recognition

automation

attendence system