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Paper Title : A PRACTICAL ANIMAL DETECTION AND COLLISION AVOIDANCE SYSTEM USING COMPUTER VISION TECHNIQUES

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7238996

Authors: Mr. D. Raj Kumar, Malkam Kavya, Kotagiri Vaishnavi Rani, Janagam Charishma

         


Abstract
Transportation departments around the world deal with an ever-increasing number of animal-vehicle collisions as they cause thousands of human and animal fatalities along with billions in economic losses each year. This is one of the few areas of transportation where safety is not improving. As more roads are built, the areas that animals inhabit shrink, causing more collisions between vehicles and animals. Human deaths and injuries, animal deaths and injuries, and the material costs of these accidents highlight the need to address this problem. Through this paper, new research directions and combinations of technologies suitable to cover research gaps are introduced.

Reference
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Keywords
— Image Classification, Deep Learning, Artificial Intelligence, object matching, edge-based matching, skeleton extraction.