Mobile Attendance System Using GPS and Facial Authentication

Abstract

Student attendance in any educational institutions is a critical content of the administration of school and the major task of the course lecturer who maintain attendance. The conventional method of monitoring students' attendance in the classroom typically involves requiring students to physically record their attendance. Initially, this process was carried out manually using pen and paper. However, as the student population grows, this approach becomes increasingly burdensome, time-consuming, and susceptible to mistakes. To avoid these challenges, this paper proposes a Mobile attendance system using GPS locator and facial authentication algorithm to monitor students’ attendance using android mobile devices. The mobile attendance app is based on Client-Server Architecture where the server is hosted in the cloud and clients are with mobile devices with in-built GPS Locator. To secure the integrity of the attendance, the GPS locator helps in locating the precise geographical position of the students present, a mock detector is also integrated into the app to detect fake location of the students in the classroom meeting and the facial image used by the student at runtime support startup camera