Finger Print Based Automotive Security Lock System

  • Lennox M. Mwaringa Department of Electrical and Electronic Engineering, Technical university of Mombasa
  • Theophilus Biketi Department of Electrical and Electronic Engineering, Technical University of Mombasa

Abstract

The vehicle anti-theft system presented in this paper consists of double layers of protection with one complementing the other, rather than the conventional anti-theft system where only one particular system is used. The first layer of protection in the system is a fingerprint recognition, from which the doors and drive implements are opened. The fingerprint matching is done by utilizing the minutiae based fingerprint recognition scheme. The second layer consists of a Dual Tone Multi Frequency (DTMF) module which uses mobile phone to effect control over a long distance, just in case thieves break the glass and get access to the vehicle. The vehicle can be turned on by a start button upon verification by the system. No mechanical keys are used in this system. When finger ID entered is not correct, or a wrong DTMF password is entered will result in vehicle getting immobilized by keeping the door door locked, cutting the fuel supply and switching off the ignition power, an alarm will turned on to alert people in the vicinity of the vehicle. The different layers of protection defined are controlled by an AVR based controller acting as the central node. The whole system was tested using a test set up by mimicking the vehicle door, whereas fingerprint and DTMF data was received from the system. Output signals from the microcontroller proved that the functionality of the anti-theft system in good working condition.
Published
Jun 22, 2016
How to Cite
MWARINGA, Lennox M.; BIKETI, Theophilus. Finger Print Based Automotive Security Lock System. Proceedings of Sustainable Research and Innovation Conference, [S.l.], p. 295-302, june 2016. ISSN 2079-6226. Available at: <http://sri.jkuat.ac.ke/ojs/index.php/proceedings/article/view/454>. Date accessed: 23 nov. 2017.

Keywords

AVR; DTMF; Fingerprint recognition.