Anti Theft Mechanism Through Face recognition Using FPGA
ABSTRACT The use of vehicle is must for everyone. At the same time, protection from theft is also very important. Prevention of vehicle theft can be done remotely by an authorized person. The location of the car can be found by using GPS and GSM controlled by FPGA. In this paper, face recognition is used to identify the persons and comparison is done with the preloaded faces for authorization. The vehicle will start only when the authorized person’s face is identified. In the event of theft attempt or unauthorized person’s trial to drive the vehicle, an MMS/SMS will be sent to the owner along with the location. Then the authorized person can alert the security personnel for tracking and catching the vehicle. For face recognition, a Principal Component Analysis (PCA) algorithm is developed using MATLAB. The control technique for GPS and GSM is developed using VHDL over SPTRAN 3E FPGA. The MMS sending method is written in VB6.0. The proposed application can be implemented with some modifications in the systems wherever the face recognition or detection is needed like, airports, international borders, banking applications etc.
INTRODUCTION Nowadays everywhere in the world automotive accidents and thefts are being increased. The manufacturers are attaining the security features of their products by introducing advanced technologies to avoid the thefts particularly in the case of cars. However, car thefts are increasing in number day by day. Usually, biometric and non-biometric methods are used to provide such security features required. In non-biometric methods, personal ID and password are used to identify the person, wherein the possibility of theft remains. Biometric methods involve no such possibilities, because, they employ techniques such as voice recognition, signature recognition, retinal recognition, iris recognition, fingerprint recognition and face recognition. Of these, face recognition and detection systems are more sophisticated. This paper deals with design and development of a real time face recognition system using FPGA as control platform. This system can recognize the person who enters the car and it checks whether he/she is authorized or not. When unauthorized person operates the vehicle, the GPS and GSM modules which are attached to the system will send the location and person’s image through MMS/SMS to the owner. The camera which is installed at the ignition unit of the car will capture the photograph of the person and the system compares the same with the photos of the authorized persons in the database in different postures, to check whether it is the image of the authorized person or not. The Principal Component Analysis (PCA) algorithm is used for face recognition with fixed back ground (white in color). The PCA converts a number of possibly correlated variables into number of uncorrelated variables called Principal Components related to the original variables by using statistical methods. PCA is a dimensionality reduction technique which is used for compression and recognition problems.


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