Abstract: Nowadays student attendance tracking is very important for improving academic outcomes, promoting student engagement, and enhancing overall school and or college operations. However, most of the existing systems are using single-authentication mechanism for example Biometric or GPS for attendance tracking. This paper presents a dual-authentication mechanism by integrating facial recognition and geo-location verification to address the limitations of traditional and or single-factor attendance mechanisms. The proposed system uses computer vision techniques to detect and recognise faces in real time and also uses GPS-based distance estimates from pre-defined classroom locations to verify the students' physical presence in real time. Also, the proposed system has been investigated in real time by considering one classroom of 10 students in a college campus and four sessions per day where each session is of one hour. Finally, the proposed mechanism is a reliable and flexible solution for current educational settings because of its modular construction, which enables future scalability, including interaction with institutional systems and extra biometric features.

Keywords: Biometric, RFID Tags, IoT, Smart card, Attendance management system, Geo-location, Face Recognition.

Download: | DOI: 10.17148/IMRJR.2025.020807