HSSV: High Security System for Vehicles

Authors

  • Myrrh Edrei Dumawal

Keywords:

RFID, Fingerprint, Fingerprint Scanner, Raspberry Pi, Bluetooth, Biometrics, Security

Abstract

INTRODUCTION

Vehicle theft rate in the Philippines was at 13.4 cases per 100,000 population in 2014, up from 12.7 cases per 100,000 population in the previous year, this is a change of 5.93%. It is not only in films and television that fingerprint scanners are used, it is used more these days especially for home security. New threats such as identity theft, or cybercrime plus the new regulations made biometrics the most suitable means of identifying and validating individuals in a reliable way through the biological characteristics of an individual. It was first used in military sites and facilities, but it is now inching its way through public domain.

METHODS

Three different security means were applied; first, the fingerprint scanner, second the face detector, and third the RFID or also known as the radio frequency identification. These three mechanisms allow a step by step procedure where absolute identification is vital in every process. The programming language used a C Python and was edited in Raspberry Pi and Arduino through the use of VNC viewer. The full system was installed in the vehicle via the ignition wire below the steering wheel and the RFID-Bluetooth Lock combination was installed in the Central Lock system of the vehicle.

RESULTS

The first trial conducted did not go through as planned, but the succeeding trials were all successful. The flaw in the first trial was that it used the car's relay which was not compatible with the system, apparently on the subsequent trials it worked by using the channel relay. to prove that the system functions properly, we gathered 5 members of the family which are not registered on the system's program, each member went through the process of identification. The trials show that the system was efficient, showing 90% percentage.

DISCUSSIONS

The research was a success and the goal of making a system that has better security was achieved. A recommended feature for a future research concerning the system is to include an automatic start on the ignition right after the face is detected by the face detector.

Published

2019-01-18