Car Data Decipher

Authors

  • Prof. Tejal Irkhede  Assistant Professor, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Rohit Kashayp  BE Scholar, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Nikhil Kumar  BE Scholar, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Vivek Ranjan  BE Scholar, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Manish Kumar  BE Scholar, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India

Keywords:

Car Accidents, Road Safety, Public Health, Black Box, Event Data Recorder

Abstract

The primary reason for this paper is to build up a model of the Accident discovery framework utilizing black box. In case of mishap, if any damage happened to the vehicle driver or travelers so perhaps there will be the loss of lives because of deferral in restorative help. This model can be structured with the least number of circuits. The framework can add to building more secure vehicles, improving the treatment of accident unfortunate casualties, helping insurance organizations with their vehicle crash examinations and upgrading street status so as to diminish the passing rate. This venture goes for finding the event of any mishap and revealing the location of mishap to the recently coded number with the goal that prompt help can be given by emergency vehicle or the relative earned. GPS which is a navigational framework utilizing a system of satellites circling the earth.

References

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Published

2019-03-16

Issue

Section

Research Articles

How to Cite

[1]
Prof. Tejal Irkhede, Rohit Kashayp, Nikhil Kumar, Vivek Ranjan, Manish Kumar, " Car Data Decipher, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 6, pp.448-452, March-2019.