Image Based Helmet Detection Using Deep Neural Networks

Image Based Helmet Detection Using Deep Neural Networks | Zenodo Skip to main Communities My dashboard Log in Sign up Published March 30, 2026 | Version v1 Journal Open Image Based Helmet Detection Using Deep Neural Networks Authors/Creators Ms. Muthulakshmi P Dr. Vinukumar K Mr. Rakesh S Description In recent years, road safety has become a significant concern due to the rise in traffic violations and accidents. One of the major causes of fatalities is the non- compliance with helmet usage among two-wheeler riders. This project proposes an AI-powered system for automatic helmet detection to ensure traffic law compliance. The system uses Deep Neural Network (DNN) YOLOv9 models to accurately detect helmet usage. Once a violation is detected—such as a rider without a helmet—the number plate is extracted and processed using a deep learning-based character recognition model. The system operates entirely through an AI-driven software pipeline that analyzes image or video input in real time. It detects riders, verifies helmet usage, localizes number plates, and recognizes registration details. Upon detecting a violation, the system can log the event, store evidence, and trigger automated digital notifications to relevant authorities. This software-based automation minimizes manual effort, enhances detection accuracy, and reduces delays in addressing traffic violations. The proposed solution is scalable and adaptable for deployment in high-traffic environments, contributing significantly to improved road safety and more effective enforcement of traffic regulations. Files JETA-V6I1P120.pdf Files (466.4 kB) Name Size Download all JETA-V6I1P120.pdf md5:0e31efe40264d2c2273925e4d3d88927 466.4 kB Preview Download Additional details Dates Submitted 2026-02-28 Updated 2026-03-09 Accepted 2026-03-30 Software Repository URL https://www.espjeta.org/jeta-v6i1p120 Development Status Active 24 Views 12 Downloads Show more details All versions This version Views Total views 24 24 Downloads Total downloads 12 12 Data volume Total data volume 5.6 MB 5.6 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Helmet detection Number plate recognition Deep learning Road safety Traffic monitoring Details DOI DOI Badge DOI 10.5281/zenodo.19554523 Markdown [](https://doi.org/10.5281/zenodo.19554523) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19554523.svg :target: https://doi.org/10.5281/zenodo.19554523 HTML <a href="https://doi.org/10.5281/zenodo.19554523"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19554523.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19554523.svg Target URL https://doi.org/10.5281/zenodo.19554523 Resource type Journal Publisher ESP Journal of Engineering & Technology Advancements Published in ESP Journal of Engineering & Technology Advancements, 6(1), 167-174, ISSN: 2583-2646, 2026. Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 13, 2026 Modified April 13, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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