Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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Intra Student Surveillance System: Detection And Identifying Unauthorized Wandering

Authors
D. Sattibabu1, *, Shaik Yacoob1, P. Tanuja1, B. Madhu Koushika1, K. Veera Babu1, Ch. Jeevan Kumar1
1Department of Computer Science and Engineering, Godavari Institute of Engineering and Technology, Rajahmundry, A.P, India
*Corresponding author. Email: sattibabu538@gmail.com
Corresponding Author
D. Sattibabu
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_115How to use a DOI?
Keywords
Face Detection; Face Recognition; Machine Learning; Histogram of Oriented Gradients (HOG); Deep Learning
Abstract

A student monitoring system is an advanced method of preserving security and discipline in educational institutions, particularly during class hours. Students are observed during intracultural and tech fest events hosted by the institutions. Unauthorized student roaming in restricted areas can disrupt learning and endanger security. The proposed system will develop an effective and trustworthy system for tracking student mobility on the college campus to address these challenges. Face recognition technology is integrated into the system using strategically positioned cameras to continuously monitor and identify student activity, ensuring their presence in permitted places during scheduled class periods. When students are found in unapproved locations, the technology instantly notifies authorized staff and campus security in real time. This system relies on the HOG method and dlib library, which effectively captures and analyses facial features using image processing techniques.

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 International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
978-94-6463-471-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_115How 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  - D. Sattibabu
AU  - Shaik Yacoob
AU  - P. Tanuja
AU  - B. Madhu Koushika
AU  - K. Veera Babu
AU  - Ch. Jeevan Kumar
PY  - 2024
DA  - 2024/07/30
TI  - Intra Student Surveillance System: Detection And Identifying Unauthorized Wandering
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1201
EP  - 1208
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_115
DO  - 10.2991/978-94-6463-471-6_115
ID  - Sattibabu2024
ER  -