Advancing Road Safety: Helmet Detection with Artificial Intelligence

Author: Prithviraj Singh Solanki, Vikram Tailor, Rajkumar Verma and Yagna Bhupendrakumar Adhyaru

Published On: 2024-11-22

DOI: https://doi.org/10.70127/irjedt.vol.06.issue11.251

Road safety remains a critical concern globally, with non-compliance to helmet-wearing regulations among motorcyclists and bicyclists contributing significantly to the severity of road accidents. Helmets are a proven measure to reduce head injuries, yet enforcement of helmet laws presents challenges for traffic authorities due to resource constraints and human error. This research explores the application of Artificial Intelligence (AI) in developing automated helmet detection systems, aimed at enhancing the enforcement of helmet-wearing regulations. Leveraging computer vision and machine learning, the proposed AI-powered system can identify non-compliance in real-time, enabling targeted interventions and reducing the risk of head injuries. The study highlights the potential of AI-driven solutions in advancing road safety, addressing gaps in traditional enforcement methods, and contributing to more consistent and effective traffic management practices.

Keywords: Road Safety, Helmet Detection, Artificial Intelligence, Machine Learning, Traffic Enforcement, Computer Vision.