This is an Internet of Things (IoT) based smart helmet system that is designed to improve the safety of two-wheeler riders with collision detection and an emergency alert system. The device uses ESP32 as the main controlling unit and an MPU6050 sensor module that has a three-axis accelerometer and gyroscope. The system continuously monitors motion and acceleration. If a sudden increase in acceleration beyond predefined threshold values is detected, it is considered as an accident. When an accident is detected, the system fetches the rider’s location using the NEO-6M GPS module and then sends the crash data to the backend server via an HTTP POST request over Wi-Fi. The request contains the crash data such as an alert message and GPS coordinates (Latitude and Longitude). The backend server has an API endpoint (/api/crash) that receives the POST requests from the ESP32. When a POST request is made, the backend receives the data and processes it. After receiving the crash information, the backend uses a cloud-based SMS services to send an SMS to pre-defined emergency contacts. The SMS consists of a short alert message paired with the coordinates and a Google Maps link generated from the coordinates received from the GPS module. This helps in locating the rider in case of an emergency. The proposed system is a prime example of the combined working of IoT-driven sensors, embedded processing and wireless communication, and thereby reducing the time for emergency response time and improving the overall road safety of the motorcycle/scooter operators.
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