IOT based Accident Preventing and Reporting System

Abstract

An accident is an unpredicted and unintentional event. Considering the alarming increase in the number of accidents happening in our country, this system ensures to make the four-wheeler driving safer than before for the rider. The lack of treatment in proper time is the major reason for half of the deaths in road accidents. This system aims at providing early detection and prevention of accidents and communicating the information immediately to the emergency responses on time to provide quick assistance for the injured person. When the car or any other four wheeler detects the sensors i.e. temperature sensor, alcohol sensor or eye blink sensor then it directly extracts the data and send it to the Arduino Uno and occurs a beep sound to alert the driver to prevent from the accident. When the driver met with an accident and the car hits with any substances, the collision sensor which is embedded in the car senses the collision frequency and transfers to the Arduino module that is interfaced to it. While collision occurs, the Arduino Uno board extracts GPS data from the GPS module and the message with all the necessary information is sent quickly to the registered emergency contacts of the driver. This system assures to provide immediate assistance to the victim of the accident. The results give exact locations of the accident.

Authors and Affiliations

Prakritee Dev, Jolly Valour Syiemiong, Olbanisha Lawphniaw, Rinchen Doma Bhutia

Keywords

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  • EP ID EP587737
  • DOI 10.9756/BIJSESC.9014
  • Views 91
  • Downloads 0

How To Cite

Prakritee Dev, Jolly Valour Syiemiong, Olbanisha Lawphniaw, Rinchen Doma Bhutia (2019). IOT based Accident Preventing and Reporting System. Bonfring International Journal of Software Engineering and Soft Computing, 9(2), 12-15. https://europub.co.uk/articles/-A-587737