Abstract
Traditional attendance recording methodscan be replacedwith artificialintelligence (AI)methods. Thispaper 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 detectionalgorithms to detectthe faces in the video. The face locations are then sentto the feature extraction algorithms to extract and compare features with the features stored in the database. Our paperconcludes 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 itoutperforms 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.
Recommended Citation
Lateef, Ahmad S. and Kamil, Mohammed Y.
(2023)
"Facial Recognition Technology-Based AttendanceManagement System Application in Smart Classroom,"
Iraqi Journal for Computer Science and Mathematics: Vol. 4:
Iss.
3, Article 12.
DOI: https://doi.org/10.52866/ijcsm.2023.02.03.012
Available at:
https://ijcsm.researchcommons.org/ijcsm/vol4/iss3/12
