Intrusion Detection and Repellent System for Wild Animals Using Artificial Intelligence of Things
Hardiki Patil, Namrata Ansari
Abstract
A prominent conflict observed between growing masses and wildlife in India. Few of the major consequences are: Injury, loss of life, damage to human property, crop damage, destruction of human habitats and many more. Adaption of temporary solutions like electric fences, trenches, manual surveillance, guard dogs, etc. are used to protect the habitat but are not economic and proven to stay as an unsafe solution for wildlife as well the humans. In order to initiate safety for both wild animals and humans, some mitigation plan is required to solve this issue. While there are various IoT-based Animal Surveillance and repellent systems in market, a touch of Artificial Intelligence can make it more reliable and efficient. This will certainly push forward the bars that are kept limited with the use of IoT alone. The proposed system aims in protecting human habitation and livestock at the outskirts of the forest area/ fields by developing an automated system that detects the intrusion of wild animals and repels them back to the forest without causing any harm; Hence minimizing the dangerous consequences caused by the Human-Wildlife conflict.