UTAR Institutional Repository

Pet location tracking mobile application using Kalman Algorithm

Khor, Tsu Ming (2022) Pet location tracking mobile application using Kalman Algorithm. Final Year Project, UTAR.

Download (2921Kb) | Preview


    This project is aimed to provide a solution for pet owners who wants to monitor and track their pets when they are gone missing. Other than that, users can set up a virtual safe zone which they will be notified when their pets leave the safe zone. Kalman algorithm has been used to increase the accuracy of obtaining the exact location of the pets. Although pet tracking system has been exist for about 9 years but majority of the pet owners do not have the idea of tracking pet's real-time location until they discover that their pets has been lost and nowhere to be found. Common methods including online advertising, searching in the neighborhood and microchip are very time-consuming and do not offer a high likelihood of finding back their pets. Most of the lost pets are either dead or lost forever. Therefore, with the help of the tracking device and the mobile application, pet owners can track their pets anytime anywhere. However, the implementation of pets mobile tracking system still faced a lot of issues like battery, size and water resistance for the tracking device. This proposed project can help families no longer worried of losing their pets again.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: Q Science > Q Science (General)
    T Technology > T Technology (General)
    Divisions: Faculty of Information and Communication Technology > Bachelor of Computer Science (Honours)
    Depositing User: ML Main Library
    Date Deposited: 15 Jan 2023 21:24
    Last Modified: 15 Jan 2023 21:24
    URI: http://eprints.utar.edu.my/id/eprint/4652

    Actions (login required)

    View Item