Implementation of Fuzzy Logic with High Security Registration Plate (HSRP) for Vehicle Classification and Checking in Toll- Plaza

نویسنده

  • V. Sathya
چکیده

In Automobile Industries, to use of High Security Registration plate (HSRP) is still a challenging problem. There are more options to misuse the vehicle and exchange its engine, chassis, gear box, axle etc., In an existing system, the Regional Transport Office (RTO) only determine an abstract of the vehicle and its owner. The vehicles are classified using piezo sensor and inductive loop systems. The toll-plaza is used only collected fees from the vehicles for maintain the quality roads. There are no authorized agencies allotted to identify the vehicle checking and no possibilities to control the vehicle overloading. The proposed system, toll-plaza will be act as a multi-plaza. Vehicles are classified with weight and speed. Then it is checking in toll-plaza either passed or checked. In this paper, The system uses illumination (such as Infrared) and a camera to take the image of the front or rear of the vehicle, then an extracts the plate information. This data is used for enforcement and it can be used to open a gate if the vehicle is checked with RTO data in toll-plaza. In vehicle checking, we develop new rules using a fuzzy logic to improve the performance. The features of this system are implemented in the upgrading vehicles only. It is used to control the overloading to maintain road safety and to identify the theft vehicle to reduce the crime and terrorism. As Bharat Stage Emission (BSE) standard vehicles are implemented in India very aggressively. The emission standard vehicles are serviced only in authorized service centre not for doing and end root machines.

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تاریخ انتشار 2012