Facial Recognition-Based Attendance Management System

Nzila Kasamu; Brian Halubanza

Nzila Kasamu Mulungushi University, Department of Computer Science and IT
Brian Halubanza Mulungushi University, Department of Computer Science and IT https://orcid.org/0000-0002-7756-7609

Keywords: facial recognition, attendance management, deep learning, education technology, Recall metrics, encodings, Proxy attendance. Barcode, RFID, OpenCV, Dlib.

Abstract

This study focused on the development and implementation of a facial recognition system for automating student attendance tracking. The system is built using Python, Flask, OpenCV, and face recognition libraries, designed to integrate with the university database. Testing revealed high accuracy and efficiency, allowing real-time recognition and attendance recording. The system presents a scalable and reliable solution for educational institutions looking to automate attendance processes.