Animal Detection Alert System

Current issues include reducing collisions between automobiles and wildlife on the road, comparable incidents occurring in an imbalanced ecosystem, and significant public resources. This paper proposes an Animal detection system using a deep neural networks algorithm. The proposed system is used for detecting the creatures veritably directly. This system gives the motorists an alert when the creatures are being spotted in the web cameras within the region. The result shows that the YOLO learning model is more reliable than the deep literacy algorithm, to identify creatures on roads directly.