Real-Time Face Detection & Recognition Attendance Model

This paper presents the Face Recognition Attendance System is an automated solution designed to streamline and modernize the traditional attendance marking process using computer vision and artificial intelligence. This system utilizes facial recognition technology to accurately identify and verify individuals in real-time through a camera feed. By capturing and analyzing facial features, the system matches them with stored data in a database to mark attendance automatically. The proposed system eliminates the need for manual attendance methods such as paper registers or biometric fingerprint devices, reducing time consumption, proxy attendance, and human errors. It enhances security, accuracy, and efficiency in educational institutions and organizations. The system is developed using image processing techniques and machine learning algorithms, ensuring reliable performance under varying lighting conditions and facial expressions.