Open Access
| Issue |
ITM Web Conf.
Volume 86, 2026
5th International Conference on Current Research in Engineering and Technology (ICCRET-2026)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 11 | |
| Section | IoT & Smart Systems | |
| DOI | https://doi.org/10.1051/itmconf/20268603001 | |
| Published online | 05 June 2026 | |
- A. Agarwal, A. Saxena, A. Rajput, A. Bhatia, A. Mishra, A Retrospective Study of Two Wheeler Anti-Theft and Rider Security System. IJSRMS 3, 118 (2016) [Google Scholar]
- S. Paul, J. M. E. S. Mansoor, Intelligent Two Wheeler System. Indian J. Sci. Technol. 9, 1 (2016) [CrossRef] [Google Scholar]
- A.K. Jain, A. Ross, S. Prabhakar, An Introduction to Biometric Recognition. IEEE Trans. Circuits Syst. Video Technol. 14, 4 (2004) [Google Scholar]
- E. Jajuli, M. R. Effendi, L. Kamelia, R. Mardiati, D. Miharja, E. A. Z. Hamidi, Implementation of Motorcycle Security System Using Voice Commands and Fingerprint Sensors, in Proceedings of the IEEE TSSA Conference, 2021 [Google Scholar]
- K. S. Tamilselvan, G. Murugesan, S. Sasikumar, Design And Implementation of Biometric Based Smart Antitheft Bike Protection System, in the Proceedings of the I2C2SW Conference, 2018 [Google Scholar]
- P. Mountzouris, A. Papadakis, G. Pagiatakis, L. Dritsas, N. Voudoukis, K. Nanos, A Smart Vehicle Safety-Security System for the Prevention of Drunk Driving and Theft Based on Arduino and the Internet of Things. Electronics 15, 1 (2024) [Google Scholar]
- M. J. Raj, S. Gadde, R. Jayaraman, Fingerprint-based vehicle anti-theft security system and vehicle ignition with location tracking, in the proceedings of the 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021 [Google Scholar]
- S. Almuthaffar, A. M. Al-Ghaili, and N. Jamil, Lightweight Fingerprint Authentication with Template Protection for Arduino-Based Smart Lockers, in the proceedings of the 3rd IEEE International Conference on Cyber Resilience (ICCR), 2025 [Google Scholar]
- C. S. Kiran, Anti-theft fingerprint security system for motorcycles using Arduino UNO, GPS/GSM module. Indian J. Sci. Technol. 12, 1 (2019) [Google Scholar]
- A. K. Jain, A. Ross, S. Prabhakar, An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14, 4 (2004) [Google Scholar]
- A. N. Srikandi, N. Abdulrahman, S. Rahman, Safe lock security prototype using fingerprint and PIN. Intek 11, 31 (2024) [Google Scholar]
- E. Jajuli, M. R. Effendi, L. Kamelia, R. Mardiati, D. Miharja, E. A. Z. Hamidi, The implementation of motorcycle security system using voice commands and fingerprint sensors in Proc. of the 15th International Conference on Telecommunication Systems, Services, and Applications (TSSA), 2021. [Google Scholar]
- K. S. Tamilselvan, G. Murugesan, S. Sasikumar, Design and implementation of biometric based smart antitheft bike protection system. In: Proc. Int. Conf. Intelligent Computing and Communication for Smart World (I2C2SW), IEEE, 1–5 (2018). [Google Scholar]
- P M Vijayan, P. Vandana, M. Yogeswar, S. S. Kumar, A. Vijayalakshmi, R. Vishnu, Advanced Fingerprint And Passcode Based Anti-Theft Vehicle System in the proceedings of the 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT), 2024 [Google Scholar]
- U. Hunkeler; H. L. Truong, A. Stanford-Clark, MQTT-S — A publish/subscribe protocol for Wireless Sensor Networks in Proc. of 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE ’08), 2008 [Google Scholar]
- S. Bhowmick, A. Kumar, S. Manas, Fingerprint door lock using Arduino UNO R3. IJFMR 5, 3819 (2023) [Google Scholar]
- M. Dey; Md. A. Arif, Md. A. Mahmud, Anti-theft protection of vehicle by GSM & GPS with fingerprint verification in procedings of the International Conference on Electrical, Computer and Communication Engineering (ECCE), 2017 [Google Scholar]
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