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Performance Evaluation of Biometric Fingerprint Orientation in IoT-Enabled Motorcycle Security Systems with GPS Tracking

Author

Listed:
  • Muzalifah Mohd Said

    (Faculty of Electronics and Computer Technology and Engineering, University Technical Malaysia Melaka (UTeM), Melaka, Malaysia.)

  • M. Afiq Aizat Mustafa

    (Faculty of Electronics and Computer Technology and Engineering, University Technical Malaysia Melaka (UTeM), Melaka, Malaysia. China State Construction Engineering, Jalan Strachan Off Jalan Sultan Azlan Shah, Kuala Lumpur, Malaysia.)

  • Siti Aisah Mat Junos

    (Faculty of Electronics and Computer Technology and Engineering, University Technical Malaysia Melaka (UTeM), Melaka, Malaysia.)

  • Faiz Arith

    (Faculty of Electronics and Computer Technology and Engineering, University Technical Malaysia Melaka (UTeM), Melaka, Malaysia.)

  • Hafzaliza Erny Zainal Abidin

    (Institute of Microengineering and Nanoelctronics, University Kebangsaan Malaysia, Selangor, Malaysia.)

Abstract

Motorcycle theft continues to pose significant challenges despite widespread use of conventional locks and alarms, highlighting the limitations of traditional security systems. Recent research has explored biometric authentication, IoT-based monitoring, and GPS-enabled tracking as potential solutions, yet most studies address these technologies in isolation. This leaves a critical gap in understanding how their integration can enhance both reliability and usability in real-world conditions. By analyzing the intricate patterns of a rider's fingerprint ridges, this system offers unparalleled user identification and authentication, granting access only to authorized individuals. The integrated GPS tracker provides real-time location monitoring, enhancing security and offering invaluable assistance in case of theft. Leveraging the power of IoT technology, the system seamlessly transmits data between components, ensuring efficient operation and remote monitoring. This project has the potential to revolutionize motorcycle security, reducing theft rates, boosting rider safety, and paving the way for future advancements in vehicle security solutions.

Suggested Citation

  • Muzalifah Mohd Said & M. Afiq Aizat Mustafa & Siti Aisah Mat Junos & Faiz Arith & Hafzaliza Erny Zainal Abidin, 2025. "Performance Evaluation of Biometric Fingerprint Orientation in IoT-Enabled Motorcycle Security Systems with GPS Tracking," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 8761-8769, September.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-9:p:8761-8769
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