STUDENTS’ ATTENDANCE

Attendance tracking in classes is a very important activity in any institution, and taking attendance of students using facial recognition is a more efficient and accurate method than the traditional methods which includes paper- based and roll call methods. The facial recognition system is an application of computer vision that can perform two major tasks of identifying and verifying a person from a given database. Facial recognition proves to be more effective in taking attendance than the traditional method, which is inaccurate, time- consuming and vulnerable in most cases of large class environments. This system is designed with a login page for authentication, it also provides a mailing platform where the attendance will be sent to the school authority for record keeping. This study develops a deep-learning-based facial recognition system used to detect the face of students in a class environment for the sole purpose of taking their attendance records.