Abstract:Animal intrusion in farms causes huge losses in agricultural revenue which a farmer cannot bear. Computer Vision are being increasingly applied in agricultural field for higher productivity by automating tasks. We propose an AI based system which monitors the field using cameras for any intrusion by the animals and alerts the farmer or can even take certain actions on its own.. Real time object detection as the name suggests is an art of detecting various objects at that particular time. Object detection has always been a daring task. For this purpose, faster computation power is required in the identification of an object. However, any system working in actual time generates data which is unlabeled and which has a requirement of huge set of labeled data for potent training purposes. In this work,there is a presentation of a developed application for detecting specific objects (i.e. animals) based on OpenCV libraries.

Keywords:Animal Detection, OpenCV, Real-Time Detection, Farm Surveillance, Deep Learning, Python.

Downloads: | DOI: 10.17148/IJIREEICE.2026.14438