Face Recognition-based Intelligent System for Effective Students' Class Attendance (FARBSAS)

Students’ class attendance is considered very important in many higher institutions of learning. However, some institutions’ current system for determining students’ attendance has certain loopholes. The current system enables the practice of impersonation, does not curb lateness to class effectively and the present attendance model is not designed to capture attendance in the real sense of it. This article aims to provide a solution to the identified problems by proposing an effective student class attendance system using a prototype called Facial Recognition-Based Students’ Attendance System (FARBSAS). Face recognition technology is a type of biometric technology that is emerging in the modern world. The method used to gather data includes a survey to determine students’ and lecturers’ views of the current attendance system. A survey conducted on 45 students and 11 lecturers from the Department of Computer Science, University of Ibadan (UI) shows that there is a need to change the existing students’ class attendance model.