Automated Attendance Taking System using Face Recognition
Khalid Tarmissi, Hamad Allaaboun, Omar Abouellil, Saif Mohammed Alharbi, Mohammed Soqati · 2024
The process of attendance taking, whether in a classroom or in a job meeting has been taking a considerable amount of time from the teaching or meeting activity itself, especially with the large number of people attending them, in modern society, people require an advanced solution to this time-consuming activity, one that is available to everyone, anywhere at any time. In this paper the proposed solution is an application(Mutabe) that helps mainly academic faculty members take attendance from their phone using a single picture of all their classroom’s students, this image is then processed using advanced artificial intelligence face detection and recognition algorithms, with pre-trained models to give the instructor an easier way of taking attendance, the subsequentially generated attendance sheet is securely saved within a database, which can only be accessed by that instructor whether from their phone or from the associated website.