Abstract

The number of road accidents is increasing at a rapid pace which also affects the death rate that is proportional to the number of accidents occurring. This is a serious issue that has unfortunately become somewhat normalized due to how deeply embedded it is in the day-to-day lives of people, especially in developing countries. For any society to make significant progress, it is imperative to utilize our technical skills or otherwise to ensure personal safety before anything else. This includes reducing the time of response to an accident to the minimum, among other things. The development of the Internet of Things (IoT) based accident detection and response system is an attempt towards minimizing the rates of casualty and injuries occurring to both passengers and vehicles due to road accidents. The system is fully automated to be able to send emergency notifications to nearby hospital or fire station and an emergency contact in case of an accident. This is done via a combination of a vehicle device that has to be installed in the vehicle of the consumer and a remote server system that responds to the device accordingly. The motive is to provide the location of the vehicle and measure the severity of the accident so that help can be provided as fast as possible. From the data values collected from the sensors in the vehicle device prototype, we have tested the notification process successfully and also been able to assess the level of accident severity. We believe this system will reduce the response time of emergency responders and in the process improve both the traffic and health system of a society.

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