Automated Attendance Management using Computer Vision: A Robust and Efficient Approach for Academic and Organizational Environments

Abstract: At the beginning and end of each session, attendance is an important aspect of the daily classroom evaluation. When using traditional methods such as calling out roll calls or taking a student's signature, managing attendance can be a time-consuming task. The teacher normally checks it, although it is possible that a teacher will miss someone or some students' answers many times. Face recognition-based attendance system is a solution to the problem of recognizing faces for the purpose of collecting attendance by utilizing face recognition technology based on high-definition monitor video and other information technology. Instead of depending on time-consuming approaches, we present a real-time Face Recognition System for tracking student attendance in class in this work. After the recognition is completed, the attendance will be immediately updated in a Database with the relevant information. Many institutions will profit greatly from this endeavour. As a result, the amount of time it takes and the number of human errors it makes are minimized, making it more efficient.

Keywords: Face Detection, Face Recognition, Attendance, OpenCv.