ARM 9 BASED REAL TIME CONTROL AND VEHICLE THEFT IDENTITY SYSTEM
In today’s world as the population increases day by day the numbers of vehicles also increases on the roads and highways Because of uncertain environment the ratio of vehicle loss or theft increases rapidly. Because of this is company of car has the authority for taking steps to protect the permission for the owners and also in built the anti theft system to prevent the vehicle from theft or loss. The aim of this is to give security to all vehicles and protect them for unauthorized approval. The proposed security system for smart and advance cars used to protect them from loss using Advanced Reduced instruction set computer Machine (Advanced RISC Machine) processor. It Calculate the real time user validation using face recognition, by using the Principle Component Analysis (PCA) algorithm. According to the Real time comparison result (valid or not), ARM processor performs certain actions. If the result is not matched means ARM generate the signal to block the car approvals(i.e. Generate the signal to car engine to stop its Certain action) and inform the owner about the unauthorized approval via Multimedia Message Services with the help of Global System for Mobile (GSM) modem. Also it can be send the real time location of the vehicle using the Global Positioning System (GPS) as a Short Message Service (SMS). This system enables the owner to observe and track his/her vehicle and find out vehicle movement and past activities of the vehicle.
In today’s world as the population increases day by day the numbers of vehicles also increases on the roads and highways. A vehicle tracking system consists of an electronic device installed on a vehicle so that it could be track by its owner or a third-party for its position. The aim of this is to give security to all vehicles. This system enables the owner to observe and track his/her vehicle and find out vehicle movement and past activities of the vehicle.
In our project, we propose extendable emergency response system for smart vehicle to protect them from theft using Advanced RISC Machine (Advanced RISC Machine) processor (RISC means Reduced Instruction Set Computing). In this method, the Face Detection Subsystem (FDS) aims at detect somebody’s face (who try to access the car). We can get the common Eigen values of the person using PCA algorithm and it compares the Mathematical Value of database image. If the person matches vehicle starts or owner will get MMS and GPS values of the vehicle location as SMS. Face is one of the most acceptable biometrics – based authentication methods, because of its nonintrusive nature and because it represents a common method of identification used by humans in their visual interactions. This algorithm extracts face portion alone from the photo taken by a Camera.
When compared with the existing system the advantage of this project is that we can prevent the vehicle theft by using face recognition. In the existing methods the camera captures owner’s image only. If the other person wants to start the vehicle it will not start. To overcome this one, we can store multiple faces into the memory. If anybody wants to start the vehicle, the system compares the person’s image with the all stored images. If the image is matched the motor will start otherwise, the intruder person’s image will go to the owner’s mobile. In future we can extend this by sending the information to police control room for taking certain action.
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