An IoT-Based Smart Helmet for Real-Time Accident Detection and Emergency Alert System
Tejas Sanjay Sonone Sanjay Sonone
Paper Contents
Abstract
Two-wheeler-related traffic accidents continue to be a major problem, frequently brought on by intoxicated driving, reckless riding, or exhaustion. This project introduces an Internet of Things (IoT)-based smart helmet that incorporates sensors and cloud connectivity to increase rider safety. While an IR sensor guarantees helmet use, an alcohol detection sensor stops ignition if the rider is intoxicated. An accelerometer-gyroscope analyzes abrupt impacts or falls to identify accidents. The helmet tracks its location using GPS and notifies emergency contacts in real time via GSM. For reporting accidents, the Blynk IoT cloud platform also creates immediate email and app notifications. This system's automated monitoring and quick emergency response improve rider safety.
Copyright
Copyright © 2025 Tejas Sanjay Sonone. This is an open access article distributed under the Creative Commons Attribution License.