Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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Towards the Classroom of the Future: Improvement Strategies for Automatic Attendance Systems Using Facial Recognition Combining Behavioral Recognition

Authors
Sheng Qiang1, *
1School of International Education, Guangdong University of Technology, Guangzhou, 511495, China
*Corresponding author. Email: 3121010002@mail2.gdut.edu.cn
Corresponding Author
Sheng Qiang
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_66How to use a DOI?
Keywords
automatic attendance; object detection; facial recognition; behavioral recognition
Abstract

In a classroom setting, manual roll call consumes a significant portion of the limited available time. To address this issue, automatic attendance systems offer a solution. This paper presents an improved automatic attendance system based on facial recognition through a thorough analysis of previous research, algorithm comparisons, and experimentation. The proposed system enhances efficiency by integrating facial recognition with additional behavioral recognition functions, maintaining a compact size and consistent processing block count. Through optimization efforts, the system is capable of identifying students who arrive late or leave early, reducing real-time processing demands to enable deployment on resource-constrained hardware. Furthermore, the system can adapt to slower computing speeds while maintaining high accuracy, and in case of misidentification, it can still make accurate judgments. Following a series of experiments and tests, the system demonstrates an impressive accuracy level of 96%. Implementation of this system enhances classroom efficiency and simplifies the evaluation process for students’ coursework grades.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_66How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sheng Qiang
PY  - 2024
DA  - 2024/09/23
TI  - Towards the Classroom of the Future: Improvement Strategies for Automatic Attendance Systems Using Facial Recognition Combining Behavioral Recognition
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 627
EP  - 637
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_66
DO  - 10.2991/978-94-6463-512-6_66
ID  - Qiang2024
ER  -