Animal Detection system using OpenCV

Abstract: The project is aimed at developing an animal detection system using OpenCV, a very commonly used computer vision tool, without involving any sophisticated machine learning models. The system detects and classifies animals instantaneously in real-time using simple image processing techniques based on images and video feeds. With some of the techniques such as edge detection, background subtraction, contour finding, and motion tracking, this system can detect animals in diverse settings such as towns, farms, and forests with a high degree of accuracy. This method enables accurate detection of animals without the need for pre-trained AI models, thus simplifying the device and rendering it weightless and facilitating quicker deployment. It suits applications such as wildlife monitoring, security, and agricultural management, where effective and real-time tracking of animals is absolutely important. The strong image processing capability of OpenCV allows the system to run effectively.