Real-Time Biometric Facial Recognition Attendance System with Deep Learning and Computer Vision

This research presents an autonomous Real-Time Facial Recognition Attendance System (FRAS) that automates and refines traditional attendance tracking. Utilizing advanced facial recognition algorithms, FRAS eliminates manual marking by leveraging a self-made dataset adaptable to diverse faces and settings. The system captures live video, detects faces, and identifies individuals instantly, updating attendance records in real-time for a secure, efficient, and adaptable solution compared to manual methods. © Grenze Scientific Society, 2024.