Automated Attendance System (AAS) Using Facial Recognition

SHEIKH MOHD AFIQ AHLAM, MOHD NOOR (2019) Automated Attendance System (AAS) Using Facial Recognition. [Final Year Project Report] (Unpublished)

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Abstract

Attendance taking plays a significant role in the university classrooms to ensure effective teaching and learning through face to face lectures, tutorials, and laboratory sessions. In most University, standard attendance taking is still usual practices. Therefore, many traditional ways were already implemented such as calling every name on a list, and the concerned party will respond or sign the list manually. These approaches, however, are a long and tedious routine. In college or university, many students manage to manipulate such manual systems easily by sign the Attendance on behalf of others who did not attend classes. Attendance is not for locking out the students, and its sole purpose is to ensure that the students come to Class and sometimes can be used as a record for the student's whereabouts. A more modern style of Attendance is using QR code. The problem with this method is that the lecturer needs to spend at least five minutes to show the QR code on the big screen for all students to scan the code. If some student is late, it may take another five minutes. If some students forget to scan the QR code or are not there when the QR code is displayed, then their Attendance will be denoted as absent. Hence, a web-based automated attendance system is proposed to solve this issue by using facial recognition.

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