I developed a Face Recognition Attendance System using the VGGFace model for facial recognition. This system captures real-time video input, detects faces, and accurately recognizes individuals by comparing their facial embeddings with registered data. Upon recognition, the system logs the individual’s attendance. This project leverages deep learning techniques to provide a scalable and user-friendly solution for automated attendance management.
Key Features:
Utilized the pre-trained VGGFace model for high-dimensional facial embeddings. Real-time face detection and recognition. Automatic attendance logging for recognized individuals.