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
Recommended Citation
Tahiri, Fitore and Leka, Hizer, "FACE RECOGNITION ALGORITHMS IN RECORDING STUDENT ATTENDANCE DURING LECTURES" (2023). UBT International Conference. 10.
https://knowledgecenter.ubt-uni.net/conference/IC/CS/10
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.