An Automatic Detection System for Entry of Wild Animals

Abstract

The wild animal monitoring process is a complex, difficult and sometimes expensive task which require careful planning and execution. Remote sensors (thermal camera), advanced path planning and image processing algorithms can be used to provide low cost approaches to determine critical requirements for spatial and spectral distribution of wildlife. Using thermal images,the system is capable of identifying heat signatures of a target animal from a predetermined distance and determine what that target?s body temperature. It is analyzed by Independent Component Analysis(ICA) algorithm. Hot objects, such as warm bodies, emit more of this light than cooler objects like trees or buildings .By using the ICA algorithm, the captured images of animals are processed even during the night time with high resolution and high clarity. The type of animal and the mood of the animal is detected using thermal image. Based on the identified mood of the detected animal alert is given to the nearby theresidential area through the alarming system. The same process is carried out for video processing. The video is converted into frames and the required frame is taken for processing. This helps to alert people and to escape from attack harmful animals and ensure a secured life.