A Development of Motorcycle Anti-Theft Equipment and Tracking System Using Internet of Things

Main Article Content

Naruepon Panawong
Akkasit Sittisaman

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. 

Downloads

Download data is not yet available.

Article Details

How to Cite
[1]
Naruepon Panawong and Akkasit Sittisaman , Trans., “A Development of Motorcycle Anti-Theft Equipment and Tracking System Using Internet of Things”, IJDCN, vol. 3, no. 3, pp. 1–9, Apr. 2023, doi: 10.54105/ijdcn.F3757.043323.
Section
Articles

How to Cite

[1]
Naruepon Panawong and Akkasit Sittisaman , Trans., “A Development of Motorcycle Anti-Theft Equipment and Tracking System Using Internet of Things”, IJDCN, vol. 3, no. 3, pp. 1–9, Apr. 2023, doi: 10.54105/ijdcn.F3757.043323.
Share |

References

The vehicle theft suppression center of Royal Thai police. (2021, December 5). Information Car and motorcycle theft. [Online]. Available: http://www.lostcar1192.com (in Thai)

K. K. Patel, and S. M. Patel, “Internet of Things-IOT: Definition, Characteristics, Architecture, Enabling Technologies, Application & Future Challenges,” International Journal of Engineering Science and Computing, vol. 6(5), 2016, pp. 6122-6131, doi: 10.4010/2016.1482.

C. Khunboa, IoT: Communication Architecture Internet of Things. Bangkok: Se-education, 2019. (in Thai)

N. Mahisanon, Make a Raspberry Pi-Controlled Robot. Nonthaburi: Core-Function, 2018. (in Thai)

E. Nantaharn, S. Bunmathep, and K. Sooksomsatarn, “Application Smart Collar,” In Proceedings of the 6th Asia Undergraduate Conference on Computing, Mar. 2018, pp. 417-423.

K. O-Chaka, T. Sainet, and O. Silasai, “FollowGPS: Motorcycle Tracking System,” In Proceedings of the 6th Asia Undergraduate Conference on Computing, Mar. 2018, pp. 429-434.

S. Kiatchalermkhun, J. Mearnchu, T. Raemee, and S. Limmongkol, “A Detection System for a Motorcycle Falling,” Journal of Engineering and Technology, vol. 22(2), 2019, pp. 8-20.

C. Wuttisit, “Fall Detection for Elderly and Data Classification Movement Activity Using Weighted K-Nearest neighbor Algorithm on a IoT-based Portable Embedded System,” Journal of Engineering, RMUTT, vol. 18(1), 2019, pp. 45-56.

R. N. Kumari, A. Bari, G. V. Achar, A. Kumar, and K. Harshavardhan, “Smart Motorbike Integration Using IoT,” International Journal of New Technologies in Science and Engineering, vol. 5(3), 2018, pp. 235-240, ISSN: 2349-0780.

S. S. Tashfia, R. Islam, S. I. Sultan, W. Rahman, A. Habib, and L. Y. Pinky, “Intelligent Motorcycle Monitoring Scheme using IoT with Expert System in Bangladesh,” In Proceedings of the International Conference on Computer and Information Technology, Dec. 2020, pp. 1-7, doi: 10.1109/ICCIT51783.2020.9392675.

Z. Budsabong, N. Chanphonsaen, and S. Chatchai, “The Development of a Prototype System with Real-Time Transport Tracking Devices Using Internet of Things Technology,” PKRU SciTech Journal, Phuket Rajabhat University, vol. 3(2), 2019, pp. 20-26.