Cloud based Accident Detection and Notification System

Abstract

In today's world, the inventions of powerful automobile engines have increased the speed of transportation. As a result, the situation has become more vulnerable to fatal accidents. To reduce these fatalities, the Emergency Medical Service (EMS) has to be quick and efficient enough. To make emergency services faster, an Accident Detection and Notification System is required. The research work aims at the development of such robust Accident Detection and Notification System. The approach focuses on the development of two subsystems. One of the subsystems is Accident Detection System (ADS). Another subsystem is a Notification System. ADS is implemented on separate hardware and it is responsible for accident detection and estimation of severity and direction of an impact. The ADS hardware incorporates an accelerometer, a microcontroller and a Bluetooth device. The system also consists of a Raspberry Pi which acts as a central controller of the system and is connected to the ADS through Bluetooth. For the notification system, a GPS-GSM module and a web application connected with firebase cloud database are used. The web application developed fetches the data when received by the cloud database about the accident and displays it to the emergency authorities.