IoT Based Smart Bike Accident Detection System
DOI:
https://doi.org/10.15662/IJEETR.2026.0803005Keywords:
Gyroscope sensor, GSM, GPSAbstract
The rapid increase in road accidents and the delay in providing immediate medical assistance remain critical challenges in modern transportation systems, especially for two-wheeler riders. This paper presents a Smart Bike Accident Detection and Emergency Response System using Internet of Things (IoT), designed to automatically detect accidents, minimize false alerts, and ensure rapid communication with emergency services and contacts. The system integrates multiple sensors, including a gyroscope and accelerometer (MPU6050) and a vibration sensor (SW-420), to continuously monitor the bike's motion parameters such as tilt, acceleration, and impact forces. These sensor readings are processed in real time using a microcontroller (ESP32/Raspberry Pi) with sensor fusion techniques to accurately identify accident conditions while reducing false positives caused by road irregularities. Upon detecting a potential accident, the system initiates a confirmation window, allowing the rider to cancel the alert in case of a false detection. If no cancellation is made, the accident is confirmed, and the system retrieves the rider's real-time location using the NEO-6M GPS module. The emergency response mechanism includes both SMS alerts and automated voice call notifications using a GSM module (SIM800L/SIM900A). Alerts are simultaneously sent to police services, ambulance services, and registered emergency contacts. The proposed system operates independently of internet connectivity, relying on GSM networks for communication, making it suitable for deployment in both urban and rural environments. By combining real-time monitoring, intelligent decision-making, reliable alert mechanisms, and data logging, this system significantly reduces emergency response time and enhances rider safety.
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