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Automated SOS Vehicle Tracking

EasyChair Preprint no. 3042

4 pagesDate: March 24, 2020


The use of vehicles becomes important everywhere in the world with increase in use of vehicles. There has been a steady increase in accidents as well, vehicle manufacturers are attaining the security features of their products by introducing advanced automated technologies to avoid accidents from occurring but no significant growth has been seen on technologies for the purpose of implementing proper measures to ensure the safety of a person after the accident has occurred . Our solution implements various layers of security measures to prevent an unauthorized person from using a vehicle and at the same time creating a steady communication between accident victims and the emergency responders. Our device uses various sensors to analyze the data live and instantly create a communication between victim and responder which provides detailed information about the intensity of the accident along with the GPS location to increase the possibility of survival in a dire situation.

Keyphrases: Arduino Mega, camera module, Convolutional Neural Networks, Crash sensor, embedded, gas sensor, GPS module, GSM module, IoT, MATLAB, Temperature sensor, ZigBee

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Kunik Vidyarthi Chaturvedi and Dhairya Asthana},
  title = {Automated SOS Vehicle Tracking},
  howpublished = {EasyChair Preprint no. 3042},

  year = {EasyChair, 2020}}
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