A Novel Methodology to Ensure Rider Safety Measures Based on Helmet Detection System Using Deep Learning Mechanism

Gokulkannan M., Elandhiraiyan K., Gokulraj G., Thirunavukkarasu G.

2025

Abstract

Motorbikes are a prevalent mode of conveyance in numerous countries. Nevertheless, the absence of the appropriate safety apparatus poses a significant danger when operating a motorcycle. Consequently, it is strongly advised that individuals don helmets while operating a bicycle to ensure their safety. In order to eliminate this manual dependence, it is imperative to develop a self-powered helmet detection system that can identify motorcycle offenders. This research is dedicated to the development of a helmet detection system for two-wheelers that is both reliable and efficient. The Enhanced You Only Look Once (EYOLO) algorithm is employed in this system and it is cross-validated with the traditional deep learning algorithm, Convolutional Neural Network (CNN), to assess the effectiveness of the proposed model. The headgear status of the rider is continually monitored by this system, which operates in real-time. It rapidly determines whether the motorcyclist is donning a helmet by utilizing sophisticated artificial intelligence techniques. The primary goal of this system is to ensure that riders adhere to helmet regulations in order to enhance their safety. The system automatically precludes the vehicle from commencing in cases where the rider is not wearing a helmet, thereby encouraging the use of helmets. This proactive approach is designed to substantially reduce the risk of head injuries in the event of incidents, thereby contributing to the overall safety of the road as well as decreasing the severity of prospective injuries. Our system endeavors to improve passenger safety and reduce the negative repercussions of noncompliance with helmet regulations by combining state-of-the-art technology with regulatory compliance.

Paper Citation

in Harvard Style

M. G., K. E., G. G. and G. T. (2025). A Novel Methodology to Ensure Rider Safety Measures Based on Helmet Detection System Using Deep Learning Mechanism. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 552-561. DOI: 10.5220/0013869100004919

in Bibtex Style

@conference{icrdicct`2525,
author={Gokulkannan M. and Elandhiraiyan K. and Gokulraj G. and Thirunavukkarasu G.},
title={A Novel Methodology to Ensure Rider Safety Measures Based on Helmet Detection System Using Deep Learning Mechanism},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={552-561},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013869100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - A Novel Methodology to Ensure Rider Safety Measures Based on Helmet Detection System Using Deep Learning Mechanism
SN - 978-989-758-777-1
AU - M. G.
AU - K. E.
AU - G. G.
AU - G. T.
PY - 2025
SP - 552
EP - 561
DO - 10.5220/0013869100004919
PB - SciTePress