Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)

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Vision-Based Intelligent Traffic Enforcement: Real-Time Speed Violation and License Plate Detection Using MobileNet-SSD

Authors
S. Swaminathan1, R. Gopi Krishnan1, R. J. Vikram1, Pesala Venkata Akash1, T. Anusha1, *
1Department of Computer Science and Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Vadapalani Campus, No. 1, Jawaharlal Nehru Road, Vadapalani, Chennai, Tamil Nadu, India
*Corresponding author. Email: anushat@srmist.edu.in
Corresponding Author
T. Anusha
Available Online 31 October 2025.
DOI
10.2991/978-94-6463-866-0_42How to use a DOI?
Keywords
Real-time Object Detection; MobileNet SSD; Deep Neural Networks (DNN); Object Tracking; Speed Estimation; Number Plate Recognition; Traffic Surveillance; OpenCV; Edge Computing; Automated Alerts
Abstract

One well-known computer vision algorithm that makes applications like surveillance and driverless cars possible is object detection. This study introduces an OpenCV-based real-time item tracking and detection system based on the MobileNet SSD model. It has a tracking module for ongoing tracking and makes use of a pre-trained MobileNet SSD model to identify numerous objects in live video. We use a Deep Neural Network (DNN) for effective CPU and GPU processing to increase accuracy. For real-time surveillance, the system has dynamic tracking and great precision. In addition, we assess vehicle speeds and set off over speeding alerts. When a car exceeds the speed limit, an inbuilt number plate recognition module detects it and provides useful information for traffic monitoring. At the expense of tracking efficiency, frame-by-frame processing with optimal confidence criteria reduces false positives. We test the accuracy of our model in many scenarios, proving its suitability for real-time applications including warnings, traffic monitoring, and security. Even on low-resource systems, the results demonstrate high-speed processing with reliable precision.

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 the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 October 2025
ISBN
978-94-6463-866-0
ISSN
2589-4919
DOI
10.2991/978-94-6463-866-0_42How 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  - S. Swaminathan
AU  - R. Gopi Krishnan
AU  - R. J. Vikram
AU  - Pesala Venkata Akash
AU  - T. Anusha
PY  - 2025
DA  - 2025/10/31
TI  - Vision-Based Intelligent Traffic Enforcement: Real-Time Speed Violation and License Plate Detection Using MobileNet-SSD
BT  - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
PB  - Atlantis Press
SP  - 503
EP  - 514
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-866-0_42
DO  - 10.2991/978-94-6463-866-0_42
ID  - Swaminathan2025
ER  -