Advanced Smart Safety Helmet for Motor Cycles using Real-Time Sensor Data

This paper is all about the importance of development of a smart helmet that aims to enhance the safety of two wheeler riders with the help of contemporary technologies. The system, which we have termed as the "Advanced Smart Helmet", includes major safety requirements like helmet compliance verification, alcohol level verification, and accident verification, with the facility to fine communication with emergency units. The helmet includes an IR sensor to verify proper use, an MQ3 alcohol sensor to verify drunkenness, and a vibration sensor to verify accidents. These are interfaced with a GPS and GSM module to alert emergency units to the rider's location in case of emergencies. Sensor data processing is done through an ESP32 microcontroller, while wireless communication between the motorbike and helmet is done without wires through Wi-Fi. The motorbike's ignition system is controlled through a motor driver IC, such that the motorbike can be started only when all the safety requirements are fulfilled. In contrast to existing systems lacking an end-to-end mechanism of rider safety, this smart helmet integrates multiple safety requirements in a single IoT-based solution. Mass-produceable, this smart helmet not only avoids accidents but also responds immediately during emergencies, offering a scalable and innovative safety product in the automotive industry.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/icicv64824.2025.11085453
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
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article

Advanced Smart Safety Helmet for Motor Cycles using Real-Time Sensor Data

V G Dharshini, S Aishwarya, K. Yogeshwaran, A Elanthamizan
Autonomous Vehicle Technology and Safety
article

Advanced Smart Safety Helmet for Motor Cycles using Real-Time Sensor Data

V G Dharshini, S Aishwarya, K. Yogeshwaran, A Elanthamizan
article en

Abstract

This paper is all about the importance of development of a smart helmet that aims to enhance the safety of two wheeler riders with the help of contemporary technologies. The system, which we have termed as the "Advanced Smart Helmet", includes major safety requirements like helmet compliance verification, alcohol level verification, and accident verification, with the facility to fine communication with emergency units. The helmet includes an IR sensor to verify proper use, an MQ3 alcohol sensor to verify drunkenness, and a vibration sensor to verify accidents. These are interfaced with a GPS and GSM module to alert emergency units to the rider's location in case of emergencies. Sensor data processing is done through an ESP32 microcontroller, while wireless communication between the motorbike and helmet is done without wires through Wi-Fi. The motorbike's ignition system is controlled through a motor driver IC, such that the motorbike can be started only when all the safety requirements are fulfilled. In contrast to existing systems lacking an end-to-end mechanism of rider safety, this smart helmet integrates multiple safety requirements in a single IoT-based solution. Mass-produceable, this smart helmet not only avoids accidents but also responds immediately during emergencies, offering a scalable and innovative safety product in the automotive industry.

Institute of Engineering (NP)
Affordable and clean energy
Openalex Percentile: Top 81%
Autonomous Vehicle Technology and Safety
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Advanced Smart Safety Helmet for Motor Cycles using Real-Time Sensor Data — V G Dharshini, S Aishwarya, et al. · (2025) | TGRS Research Map | TGRS