A Face Recognition-Based Smart Student Attendance and Activeness Monitoring System

A Face Recognition-Based Smart Student Attendance and Activeness Monitoring System represents a transformative solution to revolutionize attendance management within educational institutions. This project introduces a new way of tracking student attendance in schools, moving away from traditional methods like calling names or using cards. We're using advanced facial recognition technology, specifically the OpenFace model, to make attendance more accurate and easier. This system corrects mistakes intelligently and refines its data for better performance. A distinctive feature of the system involves the incorporation of the Haar Cascade model to monitor student engagement. Which does more than just track attendance. It watches students' facial expressions and head movements in real-time. This gives teachers insights into how engaged students are in class, helping them improve participation. Teachers get immediate feedback, allowing them to adjust their teaching methods for a more interactive and enjoyable learning experience. Our system doesn't just focus on attendance, it takes a broader approach by monitoring student engagement. By simplifying tasks for school staff and giving helpful information, this system has the potential to change how schools operate. It uses cutting-edge technology to make attendance and engagement monitoring easy, promising to create better classroom experiences for everyone involved.