Animal Detection for Vehicle

Abstract

Abstract: A severe challenge with which all established countries are now dealing seems to be the deaths and harm resulting from traffic accidents. Animal-vehicle collisions are an increasing concern for transportation organizations worldwide since they result in thousands of deaths each year for both humans and animals. As more roads are developed, the places where animals live are decreasing, resulting in more collisions between vehicles and animals. The human and animal deaths and injuries, as well as the material expenses of these accidents, indicate the necessity of a solution for this issue. Deep learning algorithms to prevent animal collisions will be developed using data. The method may be enhanced by adding additional characteristics necessary to boost productivity on the datasets. The recommended strategy has the ability to improve public safety by reducing or avoiding animal or human incidents.