An Analysis of Wild Fauna Trespassing Warning System using CNN and YOLO v3

Human-wildlife conflict denotes the harmful interactions occurring between wild animals and humans, leading to adverse impacts on individuals, their resources, or the wildlife and their habitat. The expansion of human populations encroaching on wildlife habitats is causing the depletion of resources. In a given habitat, conflicts often result in various forms of harm or injury to both humans and domesticated animals. Animal invasions on farmland result in significant losses for both farmers and animals. Machine Learning techniques, IOT and Cloud are going to use in this research. By using Machine Learning techniques, we train the model using dataset. For real-time image detection, we use YOLO v3 by using camera. When an animal enters agricultural land or residential area, an image is captured and processed, and a flash message is sent to the people and the forest officer informing him of the animal’s entry. And also, a speaker is places within the range and used to give an alert of animal’s entry.