Multilevel Security System for Automotives using RFID and Biometric Techniques in LabVIEW
|Priya Darshini.V1, Prasannabalaje S.M2, Prakash.R3, Rekha.V4,Vinodhini.R5, Sangeetha Monica.T6
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Motor vehicle theft is a serious problem in many parts of the world. In India, the annual loss from the car theft is over $4 billion. The Automotive Information Council (AIC) reports that over one million motor vehicles are stolen in the country each year. That is one motor vehicle theft occurs for every 31 seconds. Hence it has become essential to secure the automotive in this modern world. This proposed thesis aims at securing the automotive using the technologies like Radio Frequency Identification (RFID) technology, thumb registration system and face recognition which is efficient by nature.The operational modes in this project are classified as training mode, automatic mode and manual mode .Initially the RFID system gets authenticated. The importance of this system is, it gets its verification from the Road Transportation Office (RTO).This authentication leads to the thumb registration module by which the efficiency of the thumb is enhanced using Pattern Matching Algorithm (PMA). Face recognition system is used after the thumb registration. Then the system allows the user to drive the car. For emergency, a key insertion slot will be placed in the system with the help of which the user can insert the key. During this emergency mode of operation the camera captures the driver’s image and sends it to the owner’s mobile as Multimedia Messaging Service (MMS). The owner provides the password then the system allows the user to drive the vehicle. Global System for Mobile communication (GSM) module is also kept inbuilt for tracking purpose. The software testing in this project is done using LabVIEW. The timing and efficiency will be analyzed for both hardware and software based on which the implementation will be done in future.