Wild Animals Intrusion Detection for Safe Commuting in Forest Corridors using AI Techniques
J. Joshua Daniel Raj, C. Sangeetha, Sarthak Ghorai, Subhajit Das, Manish Manish, Shariq Ahmed
Abstract
There are many animal attacks on human is being reported in the recent days particularly in the forest area which claims innocent lives. In order to reduce such incidents this work is aimed to identify animals and alert vehicles to slowdown accident rates using IOT detection system. If the detection is triggered, the alert system will give signals to driver. Hence, the system will save the animal and reduce number of accidents in the jungle side highways. In this work Raspberry Pi 3 Model B is used for detecting the animals and alerting the vehicles. The camera is configured for use in Raspberry Pi to take shoot images and movement of animals. It also employs IOT based image detection system using display or sound alert system. We try to slowdown the vehicle to avoid accidents. We have used YOLO algorithm which helps us to process the system which takes 45 frames per sec. This proposed system process the image to predict the object at once.