Implementation of a Wild Animal Intrusion Detection Model Based on Internet of Things
Prabhat Kumar Panda, Cherlopalli Srujan Kumar, Bommu Sai Vivek, Masura Balachandra, Shashi Kant Dargar
Abstract
Wild animal invasion is a huge issue that results in the loss of vast amounts of resources and puts human lives in jeopardy. As a result, people lose their crops, possessions, and perhaps even their lives. To address this problem, this study offers a system that uses the Internet of Things to aid in the detection of wild animal intrusions on agricultural farms by monitoring the field. Ultrasonic sensors are adopted at the field’s corners, first detecting the intrusion, then capturing the image of the invader with a camera mounted on the E-vehicle embedded with a Node MCU Microcontroller that is monitoring the field. An alert message is sent to the farmer via IoT application. The performance of the proposed system has been analyzed with respective to the captured images of the intruder and notification alert. Using this proposed model, anyone can detect any type of intrusion around the field effectively.