IoT Based Accident Detection and Management System

Abstract

Accidents on roads are a significant concern worldwide, and the response time to such incidents is crucial in saving lives. The present work proposes a real-time automatic accident detection system using the Internet of Things (IoT) based on a NodeMCU microcontroller, GPS, gyroscope, and vibration sensor. The proposed system is designed to detect accidents in real-time and notify emergency services promptly. The system uses an accelerometer-based vibration sensor to detect any sudden changes in the velocity of the vehicle. A GPS module is used to provide the location of the accident, while a gyroscope sensor provides the orientation of the vehicle The NodeMCU microcontroller is responsible for reading the data from the sensors and sending it to the cloud server. The communication module used in the system is the MQTT protocol, a lightweight messaging protocol designed for IoT devices. The microcontroller sends the data to the cloud server using MQTT, which then sends the data to the emergency services. receives the data from the microcontroller using MQTT and sends it to the emergency services using AWS Lambda. The proposed system is designed to be lightweight, reliable, and cost-effective. It uses off-the-shelf components and can be easily deployed in any vehicle. With the increasing number of vehicles on roads, the automatic accident detection system using IoT can help reduce the response time to accidents and save lives. In conclusion, the proposed system is a step towards creating a more efficient and effective accident detection system that can significantly reduce the response time to accidents and ultimately save lives. Key Word: Accident Detection, IoT, Emergency Service, Response Time.