Using FGPA based neural network tag number recognition

Programmed tag acknowledgment framework has been tracked down helpful in various transportation applications. The venture expects to foster a FPGA based brain network model which can perceive huge count of vehicle tags. Tag character acknowledgment becomes testing when the pictures have concentratio...

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Bibliographic Details
Main Authors: Sunkari, Pradeep, Gutta, Sreeram, Ruchitha, Ch
Format: Conference Proceeding
Language:English
Subjects:
Brain
Field programmable gate arrays
Neural networks
Programmable logic arrays
Transportation applications
Transportation networks
Vehicle identification
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Summary:Programmed tag acknowledgment framework has been tracked down helpful in various transportation applications. The venture expects to foster a FPGA based brain network model which can perceive huge count of vehicle tags. Tag character acknowledgment becomes testing when the pictures have concentration, or when the number plate is in a wrecked status. It could find manual intercession for perceiving a person. Subsequently, a completely computerized automatic license –plate reader framework takes a superior structure. At existing, perception brain communication will give perceive input is executed on Advance design (Altera-Cyclone II) development Education (DE) Field programmable gate array (FGPA) onboard. The loads expected on framework will be gotten via preparing a Neural Network structure over-MATLAB utilizing puddle of transcribed numeral. Register transfer level configuration was blended to modify on Field programmable gate array (FGPA) utilizing Prime programmable logic 2 12.0sp1. The last FPGA model shows an exactness of 62%.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0193100