International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
E-ISSN: 2349-7300Impact Factor - 9.907

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Online Scholarly International Journal Since 2013

Call for Paper Volume 11 Issue 6 November-December 2023 Submit your research for publication

AI-based Attendance Monitoring System

Authors: Ayushi Verma, Divy Shukla, Jayendra Kumar, Chhaya Sharma

Country: India

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Abstract: An Attendance Monitoring System is essential in all organizations to track student performance. However, manually taking attendance by calling out names or register numbers and noting them in attendance registers leads to errors and is time-consuming. Some students sign in for absent classmates, making it challenging to track individual attendance accurately, especially in larger classrooms.

This article proposes a more efficient and reliable technique using facial recognition technology. A camera captures images of students entering the classroom, and the facial biometric framework compares these images to a pre-existing database of student images taken during enrollment. If there is a match, the system marks the student present and continuously monitors their performance.

Moreover, artificial intelligence concepts can further enhance attendance monitoring by capturing motion pictures of students in class to analyze attendance data, such as how much time they spend in class.

Keywords: AI, Students Attendance Management System, Face Recognition, Student Attendance Monitoring System

Paper Id: 230124

Published On: 2023-05-26

Published In: Volume 11, Issue 3, May-June 2023

Cite This: AI-based Attendance Monitoring System - Ayushi Verma, Divy Shukla, Jayendra Kumar, Chhaya Sharma - IJIRMPS Volume 11, Issue 3, May-June 2023.

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