Location Based Attendance System Using Geofencing and Facial Recognition Technology

For a long time, hand attendance was a slow and inefficient process. Automated systems offer many advantages to organizations. Accordingly, we have proposed a dual-factor attendance tracking system that combines geographical-location-based tracking using geofencing technology with biometric facial recognition. This system is implemented on an Android mobile application that enforces a secure, sessionbased authentication flow. While researching the work that has been done in this field, we came across many studies that have implemented similar attendance marking systems using biometrics, Radio Frequency Identification (RFID), and other scanner devices. We eliminated the use of such dedicated hardware and devised a simple and easy-to-use system that uses a user's smartphone for both location verification and identity authentication. The system effectively prevents proxy attendance by requiring users to biometrically verify their identity for each new session.