THE DRIVING LICENSE AUTHORIZED BASED ON IOT

Authors

  • Ahmad Alaa-Aldin engineering technical college-najaf, al-furat al-awsat technical university
  • Asaad. S. Daghal Al-Furat Al-Awsat Technical, Iraq
  • Nasir Hussein Selman Al-Furat Al-Awsat Technical, Iraq

DOI:

https://doi.org/10.30572/2018/KJE/160309

Keywords:

IoT, Driving license, Raspberry PI, Fingerprint, Driver's identity

Abstract

Driving without a valid driver’s license is considered illegal and causes endangers the safety of people, as well as vehicles. Necessary measures should therefore be taken to ensure that vehicles are operated and driven only by those with the appropriate licences. This paper proposes an authentication framework to operate the vehicles. It uses biometric devices together with the Internet of Things (IoT) technologies, where the system verifies the validity of the driver’s license before allowing the vehicle to operate, guarantee that the only authorized person can control it. Other than simply detecting drivers’ presence, the system provides a practical solution to ensure that drivers comply with the requirements to obtain a valid driver’s license through regulations that focus on the nature of effective biometric authentication tackling the issue of unlicensed driving by integrating internet-related technologies. This approach can go a long way in reducing accidents and improving overall vehicle safety. The proposed system used Raspberry Pi, Firebase, and program in C# language for the matching fingerprint authentication process. The main results show that the average time for each verification process is 6 seconds, indicating constant up time. In addition, the system has a success rate of 65% (13 out of 20 attempts) for authentic fingerprints

Downloads

Download data is not yet available.

References

Akanbi, C.O., Ogundoyin, I.K., Akintola, J.O. and Ameenah, K., 2020. A prototype model of an iot-based door system using double-access fingerprint technique. Nigerian Journal of Technological Development, 17(2).

Ali, A.M., Awad, H.M. and Abdalgader, I.K., 2021, February. Authenticated Access Control for Vehicle Ignition System by Driver’s License and Fingerprint Technology. In 2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) (pp. 1-6). IEEE.

Athab, A.F., Daghal, A.S. and Abas, S.A., 2020, November. Vehicle speed reduction based on authorized speed limits. In IOP Conference Series: Materials Science and Engineering (Vol. 928, No. 2, p. 022111). IOP Publishing.

Boulagouas, W., García-Herrero, S., Chaib, R., Febres, J.D., Mariscal, M.Á. and Djebabra, M., 2020. An investigation into unsafe behaviors and traffic accidents involving unlicensed drivers: a perspective for alignment measurement. International Journal of Environmental Research and Public Health, 17(18), p.6743.

Daghal, A.S., Athab, A.F. and Hatem, G.M., 2022, March. Social Media Apps Controls Communication Devices Based on IoT. In 2022 Muthanna International Conference on Engineering Science and Technology (MICEST) (pp. 101-105). IEEE.

Gaspar, G., Fabo, P., Kuba, M., Flochova, J., Dudak, J. and Florkova, Z., 2020, December. Development of IoT applications based on the MicroPython platform for Industry 4.0 implementation. In 2020 19th International conference on mechatronics-mechatronika (ME) (pp. 1-7). IEEE.

Downloads

Published

2025-07-31

How to Cite

Alaa-Aldin, Ahmad, et al. “THE DRIVING LICENSE AUTHORIZED BASED ON IOT”. Kufa Journal of Engineering, vol. 16, no. 3, July 2025, pp. 132-45, https://doi.org/10.30572/2018/KJE/160309.

Share