Facial Recognition Technology-Based Attendance Management System Application in Smart Classroom

Abstract

Traditional attendance recording methods can be replaced with artificial intelligence (AI) methods.
This paper aims to develop an automated attendance system with a user-friendly graphical interface in Arabic to
enhance user interaction. The Python programming language is used to build the system, which employs object
detection and feature extraction algorithms. This system processes a live broadcast from an IP camera installed in
the classroom. The system employs object detection algorithms to detect the faces in the video. The face locations
are then sent to the feature extraction algorithms to extract and compare features with the features stored in the
database. Our paper concludes that automating the attendance registration process using facial recognition
technology can achieve up to 100% accuracy. Comparing our proposed system with previous studies, we find that
it outperforms them in several aspects. Our method handles real-time tests with a larger number of students. It
accommodates students positioned at different distances from the camera within the classroom, demonstrating our
method's effectiveness in automating the attendance registration process.