Development and Implementation of an Animal Intrusion Detection System Using Image and Audio Processing

The presence of wild animals near populated areas is a significant problem that poses a threat to human lives and causes resource damage. Animals often venture into these areas in search of food, which can result in crop destruction or harm to other animals, and in some cases, even human casualties. To address this issue, a reliable and effective approach is presented in this paper, which utilizes computer vision to automatically detect wild animals. The proposed method employs the YOLO object detection model to identify the presence of wild animals using images and uses an audio model trained through deep learning algorithms to detect specific sounds produced by wild animals. Once an incursion is detected, an alert message is sent to the relevant authorities to take necessary action.