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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Electrical and Electronic Engineering (EEE)
    • Thesis & Report, BSc (Electrical and Electronic Engineering)
    • View Item
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    Application of image processing in traffic control system & license plate detection

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    11321026,12221002,12221052,12121142_EEE.pdf (1.509Mb)
    Date
    2017-08
    Publisher
    BRAC Univeristy
    Author
    Islam, Aminul
    Ahmed, Nafiz
    Hasnain, Toaha
    Tabassum, Iffat
    Metadata
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    URI
    http://hdl.handle.net/10361/8608
    Abstract
    A license plate detect system is one type of intelligent transportation system. It is a type of technology in which the software enables computer system to read automatically the license number plate of vehicle from digital pictures. Reading automatically the number plate means converting the pixel information of digital image into the ASCII text of the number plate. The main objective is to use same operations repeatedly in such a way that the number plate of vehicle can be identified accurately. As the problem of urban traffic congestion spreads, there is a pressing need for the introduction of advanced and to the technology equipment improve state of the control traffic nowadays and traffic problem increasing because the growing of are vehicles and we also have limited resource providing by current infrastructure. The simplest way to solve it is traffic monitoring system. Another way is to use electronic sensors in order to detect vehicles, and produce signal that cycles. We propose a system for controlling the traffic light by image processing. The system will detect vehicles through images instead of using electronic sensors embedded in the pavement. A camera will be installed alongside the traffic light. It will capture image sequences.
    Keywords
    Image processing; Traffic control; License plate detection; GPS; Communication; Highway
     
    Description
    This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2017.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (page 44).
    Department
    Department of Electrical and Electronic Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Electrical and Electronic Engineering)

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