Home / Current Issue / Paper 1715433
Smart Helmet with Night Safety, Accident Alert and Navigation Assist
Subject area: Science,Engineering and Technology · Area of research: Iot, Embedded systems
DOI: https://doi.org/10.64388/IREV9I9-1715433
Abstract
Road accidents involving two-wheeler riders remain a significant safety concern, mainly due to delayed emergency response and poor visibility during night travel. This paper presents the design and development of a Smart Helmet with Night Safety, Accident Alert, and Navigation Assist to improve rider safety using IoT-based technologies. The proposed system integrates an ESP32 microcontroller, SW-420 vibration sensor, NEO-6M GPS module, LED visibility system, and wireless communication through Wi-Fi. The helmet automatically detects accidents using vibration sensing and sends the rider’s real-time GPS location to emergency contacts through cloud services such as Firebase. In addition, the integrated LED lighting system enhances night-time visibility, while the audio-based navigation assist helps reduce rider distraction during travel. The system is designed to be lightweight, cost-effective, and user-friendly, making it suitable for everyday commuting. The proposed smart helmet demonstrates how embedded systems and IoT technologies can transform conventional protective gear into an intelligent safety device capable of improving emergency response and overall rider protection.
How to cite this paper
@article{1715433,
author = {Karan Singh, Shubham Dubey, Raj Bhoir, Pradeep Pathak, Prof. Sunita Chavan},
title = {Smart Helmet with Night Safety, Accident Alert and Navigation Assist},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {2075-2079},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715433.pdf},
abstract = {Road accidents involving two-wheeler riders remain a significant safety concern, mainly due to delayed emergency response and poor visibility during night travel. This paper presents the design and development of a Smart Helmet with Night Safety, Accident Alert, and Navigation Assist to improve rider safety using IoT-based technologies. The proposed system integrates an ESP32 microcontroller, SW-420 vibration sensor, NEO-6M GPS module, LED visibility system, and wireless communication through Wi-Fi. The helmet automatically detects accidents using vibration sensing and sends the rider’s real-time GPS location to emergency contacts through cloud services such as Firebase. In addition, the integrated LED lighting system enhances night-time visibility, while the audio-based navigation assist helps reduce rider distraction during travel. The system is designed to be lightweight, cost-effective, and user-friendly, making it suitable for everyday commuting. The proposed smart helmet demonstrates how embedded systems and IoT technologies can transform conventional protective gear into an intelligent safety device capable of improving emergency response and overall rider protection.},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715433}
}