Identification of Harmful animal detection using Image Processing Technique

Abstract

Death due to snakebite causes mostly among farmers as they spend much time in the field like paddy, wheat etc. Illiteracy is one of the causes of death due to snakebites, because of illiteracy farmers may believe in superstitions as a need to create awareness about the death due to snake bites can be treated with medicines. Since ancient time's death by harmful animal bite numbers in thousands because of natural environment detecting harmful animals through human senses is challenging, hence we are design algorithm to detect harmful animals conveniently. It can be used for animal biologist to search some endangered species of animals. The harmful animals are present in the garden and green field's estates like tea estate, coffee estate, and in agricultural field we have harmful animals may harm to the farmers, to avoid the effect of the farmers. So far, no automatic sorting method has been planned to differentiate. Five most shared deadly dangerous animals. Over this scheme, we will detect different parameters from dangerous animal images for automatic harmful animal organization studies. Different computer visual perception issues, such as tracking motion, detecting objects, estimating human position, identifying actions, etc., have benefited greatly from deep learning [3]. In the similar way with the help of Yolo algorithm, we can easily understand the animal detection.