Wild Animal Detection System

In forests and agricultural fields, human lives are in danger due to the conflict between human being and animals, which is a severe problem. As a result, individuals suffer losing their possessions, cattle, crops, and occasionally even their lives. This is due to the animals that cross roads without any conscious to the vehicles that pass the roads. Therefore, it is necessary to classify the different types of animals that are been found at roadsides. Manual identification of animals crossing roads are a difficult task. To overcome this difficulty the paper suggests a classification technique using DCNN deep learning technique and ResNet152V2 algorithm, which classifies the type of animal based on their images. After classification a notification is sent using a Wi-Fi enabled IOT device through a web application software called Blynk, which controls Arduino board with smart phone via internet. In addition to this, a warning message is displayed in the LCD display, for those who don’t have the application installed, which can be fixed at the Forest roads.