Advancing Road Safety: Helmet Detection with Artificial Intelligence

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.

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Publication Details

Journal
International Research Journal of Education and Technology (IRJET).
Published
2024-10-26
DOI
https://doi.org/10.70127/irjedt.vol.06.issue11.251
Primary Topic
Traumatic Brain Injury Research
Type
article
Field-Weighted Citation Impact
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article

Advancing Road Safety: Helmet Detection with Artificial Intelligence

Pratima R. Solanki
International Research Journal of Education and Technology (IRJET).
Traumatic Brain Injury Research
article

Advancing Road Safety: Helmet Detection with Artificial Intelligence

Pratima R. Solanki
article en

Abstract

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.

International Research Journal of Education and Technology (IRJET).Vol. 6(10)
Openalex Percentile: Top 68%
Traumatic Brain Injury Research
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Advancing Road Safety: Helmet Detection with Artificial Intelligence — Pratima R. Solanki · International Research Journal of Education and Technology (IRJET). (2024) | TGRS Research Map | TGRS