EARLY WARNING SYSTEM FROM THREATS FOR WILD ANIMALS USING RASPBERRY PI
Keywords:
Raspberry pi, Internet Of Things, large scale image classification, animal recognition, wildlife monitoringAbstract
In this paper the conservation of crop field has been a main content and a complex issue. The animals
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 animals are difficult due to their size and nature
of movement This proposed system seeks to identify wild animals 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, detects the animal and creates the different sound that
irritates the animal and also is updated to the cloud using IOT (Internet Of Things).
