Naslov
Attendance management system using face recognition and deep learning

Autori
Marenčić, Filip ; Stapić, Zlatko ; Grd, Petra

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
INTED2021 Proceedings 15th International Technology, Education and Development Conference / - : International Academy of Technology, Education and Development (IATED), 2021, 2191-2201

ISBN
978-84-09-27666-0

Skup
15th International Technology, Education and Development Conference (INTED 2021)

Mjesto i datum
Valencia, Španjolska, 08.03.2021. - 09.03.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA