IOT-Based Smart Helmet with Accident Detection Using GPS Tracking

This project presents a smart helmet system specifically designed for two-wheeler riders to improve road safety by incorporating advanced sensors that can detect accidents and automatically trigger emergency alerts. Unlike earlier helmet designs that focused solely on physical protection and required manual action from the rider or bystanders, this smart helmet offers digital intelligence by continuously monitoring movement and enabling instant communication with emergency contacts when an accident occurs. Creating this smart helmet involves overcoming several technical challenges, such as ensuring sensor accuracy to distinguish between normal vibrations and actual accidents, ensuring alert reliability in different conditions, optimizing power usage, keeping costs low, and making it durable for various weather and road conditions. In the case of an accident, the helmet system allows for quick recovery by automatically sending live location data and status updates to emergency contacts and rescue teams. This reduces the time it takes for help to arrive, increases the chances of timely medical assistance, and provides useful data for monitoring and improving future safety measures.