Animal Detection: Techniques, Challenges and Future Scope
Manjot Kaur1, Rajneesh Randhawa2

1Manjot Kaur*, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
2Rajneesh Randhawa, Assistant Professor, Department of Computer Science, Punjabi University Patiala, India.

Manuscript received on October 16, 2019. | Revised Manuscript received on 26 October, 2019. | Manuscript published on November 10, 2019. | PP: 4706-4710 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4974119119/2019©BEIESP | DOI: 10.35940/ijitee.A4974.119119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Departments of transportation all across the world are concerned with ever increasing number of Animal-Vehicle Collisions as they cause thousands of human and animal causalities along with billions of economic losses every year. This is one of the few areas of transportation that safety is not improving. As more roads are being built, the areas that animal inhabit is shrinking and thus causing more crashes between vehicles and animals. The human fatalities and injuries, animal fatalities and injuries, and material costs of these crashes emphasize the need for a solution to this problem. Through this paper, new research directions and combination of technologies which are suitable for covering the research gaps are presented.
Keywords: Animal Detection, Animal Vehicle Collision Accident Prevention, Sensors, Road Safety
Scope of the Article: Bio-Science and Bio-Technology