Wildlife-Vehicle Collision Avoidance using Spectroscopy

Authors

  • Swaroop Kulkarni  Swaroop Kulkarni New Horizon College of Engineering, Marathalli, Bangalore, Karnataka, India
  • Viswajeet Gupta  Viswajeet Gupta New Horizon College of Engineering, Marathalli, Bangalore, Karnataka, India
  • Dr. S. Sujitha  New Horizon College of Engineering, Marathalli, Bangalore, Karnataka, India

Keywords:

Smart Cities, Intelligent Accident Control, Spectroscopy, Human/Animal Detection.

Abstract

There have been many cases where numerous accident have been reported on vehicles colliding with wildlife and human being, especially while traveling at night or on highways. Despite this, there has been no proper solution to this problem. Developing a long range and efficient sensor which would alert the driver about the obstacle ahead would result in lesser number of such accidents. This paper is a review on the motivations to lower the rate of such accidents. The sensor uses spectrum waves to differentiate between humans, animals and other objects. The system uses real time data and try to mimic human reasoning thus prove promising accident control. We give an in depth study on the design, benefits and limitations of this technique.

References

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Published

2018-04-14

Issue

Section

Research Articles

How to Cite

[1]
Swaroop Kulkarni,Viswajeet Gupta, Dr. S. Sujitha, " Wildlife-Vehicle Collision Avoidance using Spectroscopy , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 5, pp.242-248, March-April-2018.