Image Recognition Classification for Attendance Monitoring System

Abstract

Keeping track of students' attendance is a crucial part of every educational institution. Multiple criteria, including a student's attendance history, have a role in whether or not they are admitted to a university. Most schools have a reliable attendance system that tracks each student's presence. The use of face recognition technology allows teachers to maintain tabs on student attendance in real time. This article proposes incorporating student attendance data into institutional knowledge management systems. Computer Vision and Matlab face recognition tools are used to monitor student attendance. In this study, we look at the context in which this gadget is needed and at the factors that will determine its accuracy and performance. Organizations on college campuses might use this model to develop attendance recording mechanisms for their members. This study suggests that face-recognition-based recordings might be employed in educational institutions, either as a replacement for or addition to preexisting infrastructure.