Three Phase Security System for Vehicles Using Face Recognition on Distributed Systems

Abstract

There is a continuing problem of automobile theft which is a greater challenge that needs to be solved. Traditional security system needs many sensors and it is costlier. Modern security system needs to be implemented which uses biometric verification technology in the vehicles. In the proposed method the GSM controlled by the Renesas Microcontroller is used to find the location of the vehicle. The vehicle ignition will on only when the person accessing the vehicle authorises with the three phase security system. An SMS alert is sent to the authorised person if an unauthorised person accesses the vehicle who fails in the three phase security system. In this paper, Haar features are used to detect the face and Adaboost classifier is used to combine all weak classifiers into strong classifiers for deciding whether the captured image from the video is face or not. Principal Component Analysis method is used to recognize the detected face in the video. The proposed system provides an inexpensive security system for the automobiles using Face Detection and Recognition technology. This is an efficient method to authenticate the person in the vehicle security system.