In this time of quickly developing advancements, there is a gigantic interest among individuals for a protected way of life and voyaging. In the previous decade, the quantity of vehicles on the street has been expanded. Traffic rules are a must, because of the increasing number of vehicles and road offences which is feasible to carry out discipline on roads. Identification of license number plate methods enact a crucial role in observing traffic and endorse law penance on public roads. Following individual vehicles turns into a difficult assignment with the enormous development in the vehicular area each day. Other than vehicle tracing, preprogrammed number plate identification plays a vital role in parking management, toll plaza and many others. This paper recommends a pre-programmed vehicle global positioning framework for the fast-moving vehicles with the assistance of the spying cameras on the side of the road. The interaction of getting CCTV footage in the ongoing foundation is a monotonous cycle. The proposed work comprises five fundamental stages. In the initial stage and subsequent stage, the photo of the number plate is recognized from the identified vehicles. In the last stage, the number plate characters perusing are perceived from the identified number plates. The proposed deep learning model uses Image AI library to make the preparation cycle simpler.


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    Title :

    Pre-Programmed Number Plate Identification using Machine Learning




    Publication date :

    2021-10-08


    Size :

    403178 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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