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Car Theft Detection and Prevention System


 

In this paper, we present an immobilizer automotive security system using face detection and recognition. The Principal Component Analysis (PCA) algorithm is used to recognize a specific face, and to find and compare the principal components of the current face to those of the known users in a database built in advance. The system automatically takes photos of driver and compares his or her face with database to check whether he is an authenticated driver or not. He can have access to the car only if he is an authenticated driver. If he is not an authenticated driver access to the car will not be provided. Also, the owner of the car gets an image of the theft via MMS (Multimedia Messaging Service), send by GSM modem which is an additional feature of the given system. It hence deters thieves from committing the theft.

Keywords

Face Recognition, PCA, GSM, MMS
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  • Car Theft Detection and Prevention System

Abstract Views: 138  |  PDF Views: 0

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Abstract


In this paper, we present an immobilizer automotive security system using face detection and recognition. The Principal Component Analysis (PCA) algorithm is used to recognize a specific face, and to find and compare the principal components of the current face to those of the known users in a database built in advance. The system automatically takes photos of driver and compares his or her face with database to check whether he is an authenticated driver or not. He can have access to the car only if he is an authenticated driver. If he is not an authenticated driver access to the car will not be provided. Also, the owner of the car gets an image of the theft via MMS (Multimedia Messaging Service), send by GSM modem which is an additional feature of the given system. It hence deters thieves from committing the theft.

Keywords


Face Recognition, PCA, GSM, MMS