A Development of Motorcycle Anti-Theft Equipment and Tracking System Using Internet of Things
Naruepon Panawong1, Akkasit Sittisaman2
1Naruepon Panawong, Department of Applied Science, Faculty of Science and Technology, Nakhon Sawan Rajabhat University, Nakhon Sawan, Thailand.
2Akkasit Sittisaman, Department of Applied Science, Faculty of Science and Technology, Nakhon Sawan Rajabhat University, Nakhon Sawan, Thailand.
Manuscript received on 28 July 2022 | Revised Manuscript received on 13 April 2023 | Manuscript Accepted on 15 April 2023 | Manuscript published on 30 April 2023 | PP: 1-9 | Volume-3 Issue-3 April 2023 | Retrieval Number: 100.1/ijdcn.F37570811622 | DOI: 10.54105/ijdcn.F3757.043323
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research aims to develop a motorcycle anti-theft equipment and tracking system using Internet of Things. The proposed system consists of five components. First, Hardware components are Arduino UNO R3, SIM800L module, GPS module and inclination sensor. The controlling software for Arduino and other hardware components is developed in C. Second, the system architecture is the overall system operations. Third, the design and construction of electronic circuit board connected with sensors. Forth, the motorcycle stealing analysis process analyzed data from the inclination sensor and the present geographical location of the motorcycle. If the motorcycle stealing is found, the proposed system notifies the motorcycle owner via Line application. Last, the data communication between hardware components and Firebase is utilized for obtaining the present geographical location of the motorcycle. The experimental results show that the proposed system can send message notification to the motorcycle owner via Line application. The performance of the proposed system is excellent with the average score of 92.83%. The developed Line application, which is user-friendly, simple and efficient, was installed on Android smartphones.
Keywords: Motorcycle Tracking, GPS, Google Map, Internet of Things
Scope of the Article: Internet of Things