Being in a world where wildlife animals are becoming extinct and remaining getting run over by vehicles while crossing through the roads, this paper proposes an IoT concept to prevent animal-vehicle collision on highways and roads in reserve areas. Electric fencing being a huge threat to animal’s life our paper brings in a great replacement of this electric fencing by giving alerts through smart phones and huge LED displays placed across the major places where animals are found to cross the roads. This paper uses two major algorithms such as the motion detection algorithm with the sensors and object recognition algorithm using artificial neural networks. In this paper we have used the motion detection PIR sensor to detect the animal movement near roads and the ANN for object recognition. Once the motion is detected the object recognition algorithm recognizes whether the motion detected was due to an animal movement or any other factors. If it is because of an animal movement it sends alerts through the LED signage boards and to the android application which uses Google maps to show alerts on the corresponding area through MQTT. This paper achieves object recognition accuracy of up to 91%.