Qinqin Guo¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

Pet tracking has been an important service in the pet supply industry, as it is constantly needed by countless pet owners [1]. As of 2021, about 90 million families in the U.S. alone have a pet, that is about 70% of all American households. However, for most owners of smaller pets such as cats, hamsters, and more, not being able to find the pet within the house has been a problem bothering them. This paper proposes a tool to use Raspberry Pi for gathering signal strength data of the blue tooth devices and using Artificial Intelligence to interpret the gathered data in order to get the precise location of the indoor moving object [2]. The system is applied to arrive with the location of pets within the house to an accurate level where the room that the pet is located in is correctly predicted.A qualitative evaluation of the approach has been conducted. The results show that the intelligent system is effective at correctly locating indoor pets that are constantly moving.

Raspberry Pi, Firebase, machine learning, Artificial Intelligence (AI).