IDEAS home Printed from https://ideas.repec.org/a/cvr/ijisrt/202506ijisrt25jun898.html

Vehicle Theft Real-Time Tracking System in Uganda

Author

Listed:
  • Anyango Esther Gorret

  • Kasichainula Vydehi

Abstract

Vehicle theft is a growing concern in Uganda, leading to significant financial and emotional distress for vehicle owners. This paper was about the design and implementation of a vehicle tracking system aimed at enhancing vehicle security and recovery, real-time monitoring and law enforcement agency in the event of theft. The system leverages Internet of Things (IoT) devices for real-time location tracking and integrated with a web-based application to provide a seamless user experience. Users can report stolen vehicles, and law enforcement agencies can access the system to monitor the live location of vehicles using Moto cop GPS-enabled tracking devices which were connected to the battery terminal of the vehicles. The system utilized APIs for data communication between the tracking devices and the web-based application, ensuring real-time updates and efficient management of stolen vehicle cases. The Key technologies employed by the system included GPS, IoT sensors, cloud computing, and web development frameworks, ensuring theft detection notifications, route history, scalability and reliability. The system addressed the critical gap in vehicle security in Uganda by offering an innovative solution for tracking and recovering stolen vehicles the country. The system allowed vehicle owners and administrators to track the real-time location of vehicles through a user-friendly web interface. Not only recovering vehicles but also reducing on the terrorism, kidnapping, armed robberies, and other illegal operations which would have been done through the stollen vehicles and hence saving the lives of those who might have become victims.

Suggested Citation

  • Anyango Esther Gorret & Kasichainula Vydehi, 2025. "Vehicle Theft Real-Time Tracking System in Uganda," International Journal of Innovative Science and Research Technology (IJISRT), IJISRT Publication, vol. 10(06), pages 913-919, June.
  • Handle: RePEc:cvr:ijisrt:2025:06:ijisrt25jun898
    DOI: 10.38124/ijisrt/25jun898
    as

    Download full text from publisher

    File URL: https://www.ijisrt.com/vehicle-theft-realtime-tracking-system-in-uganda
    Download Restriction: no

    File URL: https://libkey.io/10.38124/ijisrt/25jun898?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cvr:ijisrt:2025:06:ijisrt25jun898. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rahul Goyel (email available below). General contact details of provider: https://www.ijisrt.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.