engleski

Attendance management system using face recognition and deep learning

One of the important parts of daily classroom evaluation is attendance monitoring. The problem of attendance checking has been identified as one of the main problems for teachers, especially for large groups. Nowadays, biometric systems have become fairly ubiquitous and their use is increasingly spreading. Biometrics in education has become a regular occurrence and biometric methods are used for regulating access (building or classroom), paying in school dining rooms, tracking student and employee attendance, borrowing books in the library, or logging into e-learning systems. One of the increasingly popular research directions is using face recognition for attendance management. This paper proposes the use of biometric face recognition for automatic registering students attending a lecture. Firstly, we give an overview of different face recognition methods with a focus on deep learning methods. Selected deep learning methods will be described in detail and tested. The main part of the paper will be the implementation of the selected face recognition method and its application for attendance management at a higher education institution. In the end, the advantages and challenges of the proposed method will be identified, as well as future research directions.

Attendance management ; face recognition ; deep learning ; convolutional neural network ; software development

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