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

Author

Dsouza, Sonia Maria, Mathews, Jimsha K., Ravani, Harshitha, Aryan, Krish, B. N., Adhithya, and S., Manjunatha

Subjects
COMPUTER vision, HUMAN facial recognition software, DEEP learning, BIOMETRY, INSTRUCTIONAL systems
Abstract

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. [ABSTRACT FROM AUTHOR]

Published
2024

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