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IoT and AI-Enabled Smart Helmet System for Motorcycle Safety and Real-Time Emergency Assistance
Subject area: Science,Engineering and Technology · Area of research: AI and IOT
DOI: https://doi.org/10.64388/IREV9I10-1716252
Abstract
Motorcycle accidents are a growing concern, highlighting the need for better safety measures for riders. This paper presents a new smart helmet system designed to improve rider safety. The helmet includes a camera and sensors that ensure the motorcycle cannot start unless the helmet is being worn. If the helmet is removed while riding, the system automatically slows down the motorcycle to help prevent accidents. Additionally, the helmet can detect crashes and will send an emergency message, including the rider's location, to pre-set contacts. To encourage safe riding, the helmet has alcohol detection sensors that prevent the motorcycle from starting if alcohol is detected. There is also a panic button that allows riders to send a live video feed of their surroundings to emergency contacts for real-time help. This system aims to enhance rider safety, reduce accidents, and provide quick assistance in emergencies, making riding safer for everyone.
Keywords
Smart Helmet, Motorcycle Safety, Emergency Response, Alcohol Detection, Real-time Monitoring, Crash Detection.
How to cite this paper
@article{1716252,
author = {Mohan Raj KR, Hariharan B, Naveen SK},
title = {IoT and AI-Enabled Smart Helmet System for Motorcycle Safety and Real-Time Emergency Assistance},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {1212-1219},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716252.pdf},
abstract = {Motorcycle accidents are a growing concern, highlighting the need for better safety measures for riders. This paper presents a new smart helmet system designed to improve rider safety. The helmet includes a camera and sensors that ensure the motorcycle cannot start unless the helmet is being worn. If the helmet is removed while riding, the system automatically slows down the motorcycle to help prevent accidents. Additionally, the helmet can detect crashes and will send an emergency message, including the rider's location, to pre-set contacts. To encourage safe riding, the helmet has alcohol detection sensors that prevent the motorcycle from starting if alcohol is detected. There is also a panic button that allows riders to send a live video feed of their surroundings to emergency contacts for real-time help. This system aims to enhance rider safety, reduce accidents, and provide quick assistance in emergencies, making riding safer for everyone.},
keywords = {Smart Helmet, Motorcycle Safety, Emergency Response, Alcohol Detection, Real-time Monitoring, Crash Detection.},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716252}
}