A Conceptual Framework for Automated Monitoring of Attendance

Abstract

The existing method of taking attendance on paper is not only time-consuming, but also requires significant effort on the part of the trainer. Therefore, this research aims to explore the potential of leveraging facial recognition technology and the location of students' registered mobile devices within the classroom setting to effectively monitor student attendance. By incorporating biometric facial recognition and location tracking, a robust platform for attendance tracking can be established. The image recognition-based system offers the advantage of being applicable to any classroom environment with minimal setup and maintenance costs. Furthermore, it provides a convenient solution as students can effortlessly register their attendance using their mobile devices. Ultimately, such systems provide a dependable and secure platform for monitoring attendance, alleviating the burden on trainers by reducing their time and effort expenditure.