DeepPet: A Pet Animal Tracking System in Internet of Things using Deep Neural Networks

Pets animal monitoring in smart cities is a challenging problem. classic approach to identify the animal and surveillance methods like air tags, GPS, and RFID has its disadvantage to provide the full required level of monitoring and tracking of the pets. Such devices have many limitations and costly. The massive development in the area of Internet of things (IOT) in smart cities can be used to provide a human control and interaction with pets by using the Internet of Things and its technologies. This paper will present an approach of pet animal tracking on the video stream using deep learning capabilities with the goal to detect and classify the object of interest.