Smart Classroom Attendance System using Intelligent Facial Recognition Techniques
Keywords:
Attendance automation, Contactless system, Face recognition, Haar cascade, LBPH algorithm, Smart classroomAbstract
Effective control over student's attendance is a core issue of modern classrooms. The "Smart Classroom Attendance System Using Intelligent Facial Recognition Techniques" proposes a contactless, fully automated attendance system using intelligent facial recognition. By integrating Haar Cascade for facial detection and LBPH for facial recognition, the system identifies the students accurately in real time. The attendance is marked instantly and securely kept in a database, minimizing human labor and proxy attendance. Being contactless, unlike in the case of RFID or fingerprints, the solution is even more hygienic and convenient. Built-in Java, React JS, and OpenCV, the system offers fast, reliable performance in typical classroom environments. Teachers and administrators can easily monitor attendance through a clean, easy-to-use dashboard. With scalability incorporated into it, the system is ready for integration in future with cloud platforms and mobile devices. Artificial intelligence is revealed through this work to simplify normal academic processes while increasing accuracy.
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