FACE RECOGNITION – ATTENDANCE SYSTEM

IDRIZI, Florim and Ibrahimi, Jahi and Memeti, Agon and Imeri, Florinda and Ismaili, Shpend (2022) FACE RECOGNITION – ATTENDANCE SYSTEM. Journal of Applied Sciences-SUT, 8 (15-16). pp. 102-111. ISSN 2671-3047

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Abstract

The face represents a unique part of the human body as well as a biometric identifier. Using facial features, we can achieve create and use applications or systems based on facial recognition. This project involves the construction of such a system which will use facial features to mark the presence, entry time, and finally the creation of an extracted document in the Excel application. The project was developed by researching and using libraries, models as well as Machine Learning based algorithms that are necessary for face detection, training, and recognition during system operation. Python programming language is used to create the system, and CSS is used to design interfaces. The system is built in the form that professors have access to the registration of new students, as well as the creation of relevant courses and obtaining the final attendance report after receiving notes from the system.

Item Type:	Article
Uncontrolled Keywords:	Open CV, Biometric, Machine Learning, Python
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Unnamed user with email zshi@unite.edu.mk
Date Deposited:	01 Nov 2022 09:40
Last Modified:	01 Nov 2022 09:40
URI:	http://eprints.unite.edu.mk/id/eprint/1102

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