AI-based Attendance Monitoring System
Authors: Ayushi Verma, Divy Shukla, Jayendra Kumar, Chhaya Sharma
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.