FACE RECOGNITION ALGORITHMS IN RECORDING STUDENT ATTENDANCE DURING LECTURES

Session

Computer Science and Communication Engineering

Description

Usage of face detection and face recognition algorithms nowadays is widely applied, especially in the applications where user security is essential. Every smartphone is now equipped with face recognition for Face ID authentication. This paper serves as a research for the challenges encountered by university students while recording their attendance during lectures. This research is done by conducting a survey with a number of students from different universities within the Republic of Kosovo. Benefits of implementing a face recognition system for recording student attendance in lectures have been analysed.

A student attendance system will be proposed and implemented with Python libraries and Computer Vision techniques. The model created is intended to be implemented in a university system in order to automatically save student attendance in an Excel sheet. The model should serve as a prototype. Furthermore, algorithms to increase accuracy of the model will be discussed.

Keywords:

Machine Learning, Computer Vision, Graphical User Interface, Local binary patterns, Radio Frequency Identification, etc.

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-95-6

Location

UBT Lipjan, Kosovo

Start Date

28-10-2023 8:00 AM

End Date

29-10-2023 6:00 PM

DOI

10.33107/ubt-ic.2023.275

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Oct 28th, 8:00 AM Oct 29th, 6:00 PM

FACE RECOGNITION ALGORITHMS IN RECORDING STUDENT ATTENDANCE DURING LECTURES

UBT Lipjan, Kosovo

Usage of face detection and face recognition algorithms nowadays is widely applied, especially in the applications where user security is essential. Every smartphone is now equipped with face recognition for Face ID authentication. This paper serves as a research for the challenges encountered by university students while recording their attendance during lectures. This research is done by conducting a survey with a number of students from different universities within the Republic of Kosovo. Benefits of implementing a face recognition system for recording student attendance in lectures have been analysed.

A student attendance system will be proposed and implemented with Python libraries and Computer Vision techniques. The model created is intended to be implemented in a university system in order to automatically save student attendance in an Excel sheet. The model should serve as a prototype. Furthermore, algorithms to increase accuracy of the model will be discussed.