DETECTION OF WILD ELEPHANTS USING IMAGE PROCESSING ON RASPBERRY PI3

The conservation of crop field has been a main content and a complex issue. The animals mainly elephants from the protected area [PAs] are continuously attacking the crop field over the years and the protection of this crop field has become a main concern. Wildlife intrusion in areas with high human mobility is proved to be lethal for both human beings and animals. The surveillance and tracking of the wild elephants are difficult due to their size and nature of movement. Further, identifying the species captured from camera is a critical challenge. Thus, our proposed system seeks to identify wild elephants that disturb the human life and the agricultural fields with the aid of an intelligent image processing algorithm in Raspberry pi. In our methodology, the process followed is the detection of motion in the video frame and identification of the objects in the area descriptor as the local features which describes the unique features of animal. So it detects the elephants accurately and creates the different sound via speaker like honey bees sound which mainly irritates the wild elephants and also focusing the bright focus lights on the elephants so it cannot see properly and has a more chance to stop and get back into the forest. The system also simultaneously alerts the authorized person if the elephant is detected by sending a message through IoT.