IoT based Accident Management System
Vijaykumar P1, Ganesan V2, Sharmila A3, Madhu G. C4, R. Rajashree5, Xiao-Zhi Gao6

1Vijayakumar P, School of Electronics Engineering, VIT University, Chennai, (Tamil Nadu), India.
2Ganesan V, Department of ETCE  Sathyabama University, Chennai, (Tamil Nadu), India.
3Sharmila A, Department of ECE. Krishna Engineering College, Ghaziabad, Delhi, India.
4Madhu G.C, Department of ECE. Sree Vidyanikethan Engineering College, (Andhra pradesh), India.
5R .Rajashree , Former Assistant professor, GKM College of Engineering & Technology, Chennai, (Tamil Nadu), India.
6Xiao-Zhi Gao, Lappeenranta University of Technology, Lahti, Finland.

Manuscript received on 25 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 375-382 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2242037619/19©BEIESP
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Abstract: There is one death every four minutes due to a road accident in India. Around 137,000 people were killed in road accidents in 2013 alone and it has just risen exponentially over the years. Indian roads, which account for the highest fatalities in the world, became yet more dangerous in 2015 with the number of deaths rising nearly by 5% to 1.46 lakh. Such data had forced researchers to study these cases and to find solutions for reducing such fatalities. Many studies have been done and best possible solutions have been discovered. But the solutions used are expensive enough for middle and poor class people and still have scope for improvement. Hence in our country, such system is not installed in most of the vehicles due to which accidents are still in high numbers. Therefore a cost effective system has been proposed which has 4 modules. First module is alcohol detection. As soon as the person enters the car, the sensors detect the alcohol presence in the air or by the drivers touch on the steering wheel and would prevent the person from even starting the car if the person has drunk beyond the feasible limit. The second module focuses on the drowsiness check. A camera is installed which would detect if the person is watching the road or not or is sleeping and would immediately turn on an alarm. The third module is fatigue level indicator using GSR sensor. Also the driver’s data will be constantly updated on our server’s cloud and therefore will be monitoring whether the parameters have crossed a threshold level. If an accident occurs, the fourth module being the android app, will notify the nearby hospitals to the victim as well as send message to the close contacts to minimize the response time. The main aim is, if not eradicate, to at least minimize these accidents which occur not just because of somebody’s hard luck but because of their negligence.
Keywords: Alcohol detection, Accelerometer, Drowsiness detection , GSR sensor ,MQ-3 alcohol sensor, MIT App Inventor.
Scope of the Article: IoT