Smart attendance monitoring system using machine learning: A Review

Abstract

This paper presents the development of a Smart Attendance Monitoring System using machine learning and face recognition technology to automate the process of tracking student attendance. The system uses cameras to capture student entry and exit times and logs this information in a dedicated application. By leveraging face recognition, the system identifies students and monitors how long they remain in the classroom. If a student stays for at least 30 minutes, their attendance is automatically marked as present. This approach eliminates manual attendance-taking, improves accuracy, and prevents proxy attendance, providing an efficient solution for educational institutions.