Authors :
Anyango Esther Gorret; Kasichainula Vydehi
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/4xa2vh77
DOI :
https://doi.org/10.38124/ijisrt/25jun898
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
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.
Keywords :
Vehicle Theft, Real-Time Location, Global Positioning System, Iot, Web-Based.
References :
- Ahad Alotaibi, C. C. (2025). AI-driven UAV system for autonomous vehicle tracking and license plate recognition. Open Engineering, 15(1), 20240101.
- Gorret, A. E. (2025). Design and Implementation of a GPS-GSM based Real-Time Vehicle Theft Tracking System for Urban Security in Uganda. International Journal of Innovative Science and Research Technology, 6.
- GPS.Gov. (2021, February 22). Official U.S. From Government information about the Global Positioning System (GPS) and related topics: https://www.gps.gov /systems/gps/
- Hossain, M. M. (2023). BIM-based smart safety monitoring system using a mobile app: a case study in an ongoing construction site. Construction Innovation., 552-576.
- Keerthana R, A. R. (2023). Vehicle Theft Detection. ICONIC RESEARCH AND ENGINEERING JOURNALS.
- Maureira, M. A. (2011). ThingSpeak–an API and Web Service for the Internet of Things. World Wide Web.
- Nsimenta, B. (2024, December 9). Mbarara Boda Boda Riders Struggling with Insecurity. From Nile Post: https://nilepost.co.ug/news/231926/mbarara-boda-bo da-riders-struggle-with-rising-insecurity?utm_source =chatgpt.com#
- Odeng, M. (2024, February 25). stolen cars. From Newvision: https://www.newvision.co.ug
- Patrick, T. K. ((2024). ENHANCED VEHICLE MONITORING AND THEFT PREVENTION SYSTEM. Kigali Independent University Repository Doctoral dissertation,.
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.
Keywords :
Vehicle Theft, Real-Time Location, Global Positioning System, Iot, Web-Based.