Performance evaluation of biometric fingerprint orientation in IoT - enabled motorcycle security systems with GPS tracking

Mohd Said, Muzalifah and Mustafa Soe Min, Muhammad Afiq Aizat and Mat Junos @ Yunus, Siti Aisah and Arith, Faiz and Zainal Abidin, Hafzaliza Erny (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 (IJRISS), IX (IX). pp. 8761-8769. ISSN 2454-6186

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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.

Item Type:	Article
Uncontrolled Keywords:	Motorcycle system, IoT technology, Biometric security, GPS tracker, Fingerprint
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	30 Dec 2025 07:28
Last Modified:	30 Dec 2025 07:28
URI:	http://eprints.utem.edu.my/id/eprint/29368
Statistic Details:	View Download Statistic

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