Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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Automated Enforcement System for Helmet and Triple Riding Violation Using Real Time Video Surveillance

Authors
Y. Lakshman Rao1, *, S. Laxmi Prasanthi1, P. Likitha Mahalakshmi1, N. Vijayalakshmi1, G. Dhana Lakshmi1, D. Sravani1
1Information Technology, Vignan’s Institute of Engineering for Women, Visakhapatnam, AP, India
*Corresponding author. Email: laxman.544@gmail.com
Corresponding Author
Y. Lakshman Rao
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_214How to use a DOI?
Keywords
Automated detection system; YOLOv8 model; Helmet detection; Triple riding; object detection; Precision; Recall; Traffic management systems
Abstract

This project presents an automated traffic violation detection system developed to recognize and confront helmet violation and triple riding using real time and static data. The system applies the YOLOv8 model for real time object detection. Pre-trained YOLOv8 is utilized for triple riding detection, and the model is trained with personalized dataset for helmet detection. The system handles both image and video inputs and it also handles real time videos and images. And it automatically sends the email notifications to the vehicle owners containing the violation details and image attached to it. Metrics such as recall and precision are used to evaluate the system performance and it works in low light conditions. This project aims to strengthen the traffic management systems, this outcome creates a smarter and risk-free urban transportation.

Copyright
© 2025 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 International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_214How to use a DOI?
Copyright
© 2025 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  - Y. Lakshman Rao
AU  - S. Laxmi Prasanthi
AU  - P. Likitha Mahalakshmi
AU  - N. Vijayalakshmi
AU  - G. Dhana Lakshmi
AU  - D. Sravani
PY  - 2025
DA  - 2025/11/04
TI  - Automated Enforcement System for Helmet and Triple Riding Violation Using Real Time Video Surveillance
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2579
EP  - 2592
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_214
DO  - 10.2991/978-94-6463-858-5_214
ID  - Rao2025
ER  -