Attendance Management using Facial Recognition

Information Engineering

In modern educational settings, efficiently managing student attendance is crucial for both administrative and academic purposes. Traditional methods often fall short in accurately capturing attendance data, leading to inefficiencies and inaccuracies. To address this challenge, advanced technological solutions are being explored, such as the implementation of face recognition systems. This project focuses on utilizing such technology to streamline attendance tracking in educational institutions. This project proposes a novel approach to student attendance monitoring using a dual-camera system equipped with face recognition capabilities. Positioned at the entrance of the institution, one camera is directed outward, while the other faces inward. Through the integration of state-of-the-art face recognition modules, the system accurately identifies individuals captured in the video feed from both cameras. Departures and arrivals are meticulously logged by the outward-facing and inward-facing cameras, respectively, ensuring comprehensive attendance records. This innovative solution aims to enhance the efficiency and accuracy of attendance tracking in educational environments, paving the way for more effective administrative processes and improved student accountability.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.