Smart Classroom Attendance and Management System with Deep Learning

Authors : İbrahim Ardıç, Batuhan Yıldızhan, Kübra Uyar

Pages : 487-497

View : 50 | Download : 36

Publication Date : 2024-12-30

Article Type : Research Paper

Abstract :The evolution of traditional educational methods highlights the necessity to adapt to new technologies. This study aims to facilitate the attendance-taking processes in the education sector through automation. Addressing challenges such as time loss, accuracy issues, and the fragmentation of class periods associated with paper-based attendance methods, we introduce the Smart Classroom Attendance and Management System. Our study utilizes facial recognition technology to scan the facial features of each student, providing a unique biometric identification and automatically enrolling students in the class. This allows students to be automatically recorded upon entering the classroom, eliminating the need for paper-based attendance. Additionally, it is supported by a mobile application, we provide two different panels for teachers and students, minimizing human errors. Students can view and verify attendance information through the application at the end of the class, while teachers can approve the recorded attendance, thereby enhancing the reliability of the system. In conclusion, the Smart Classroom Attendance and Management System offers an innovative approach to overcome the challenges posed by traditional methods and make educational processes more efficient. Representing the transformation of automation in the education sector, this study aims to contribute to a more effective learning experience for both students and teachers.
Keywords : Otomasyon, Biyometrik Tarama, Derin Öğrenme, Yüz Tanıma, Mobil Uygulama, Kağıt Tabanlı Yoklama