Online classroom attendance system using facial recognition

Wong, Zhi Shing (2021) Online classroom attendance system using facial recognition. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Online classroom attendance system has been implemented in many institutions and places. It helps to enhance the accessibility and increase the efficiency of attendance registration process. Due to the pandemic Covid-19 outbreak, online attendance system are now adopted by every institution as all classes are switched to virtual mode. In Universiti Teknikal Malaysia Melaka, most of the classroom attendance are taken using google form or virtual platform participants. The question raised for virtual attendance is that student identity could not be verified as registration using google form can be easily fake by other person. Legitimate of student attendance is important because study found that there is a positive correlation between attendance of students and their performance in examination and coursework. Another problem of the current attendance registration method is that it does not provide attendance registration record to students. In another word, student register their attendance but they are unable to verify whether their attendance are successfully recorded in the system. This project aim to develop an online classroom attendance system that has capability to verify virtual identity of student and able to provide accurate classroom attendance record to student. Out of many identity verification method, only fingerprint and facial recognition verification are viable for virtual classes as it able to verify a person live, where student must present at the moment of verification. The proposed solution is a web-based attendance system that implemented facial recognition to provide virtual identity verification for attendance registration. This solution opted for a cheaper implementation cost compared to fingerprint verification as it only required digital camera to capture facial image of the students. Students, lecturer and management team of institution would benefit from using this system as it is has high accessibility, convenient and able to verify virtual identity of students.

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