Enhancing Farm Security System with AI-Power-Driven Animal Intrusion Detection Mechanism

Growing need for effective farm security solutions drives the development of the “Animal Intrusion Detection in Farms” system. This paper aims to identify and inform farmers about animal invasions in order to increase agricultural area security. Making use of OpenCV, the system uses computer vision techniques to identify animals crossing the farm boundaries. Setting alarms should a trespass be discovered since the system scans images to identify animals using real-time video data acquired by cameras all around the farm. Then, supplied these alarms via notifications, farm owners may react quickly. By automating the monitoring process, the method drastically reduces human participation and protects valuable crops and cattle against animal damage. The solution helps to improve farm security by combining real-time notifications, automated detection, and accurate animal recognition. Modern farm security focusses on OpenCV and deep learning models since they promise significant accuracy in detection, even under various environmental conditions, thereby offering a consistent and scalable solution.