Kshirsagar Deshpande, VarshaShah, SheelBhalerao, RaghavendraAn intelligent transportation system is a beneficial investment to avoid accidents and traffic-related issues. Technological investment in this area brings social and economic benefits. The proposed work includes two parts, in the first part, automation of the insecure automatic navigation involving overtaking of the vehicle is focused. VLC (Visible Light Communication) and wireless communication are used for transmission. By modulating vehicle taillights, here data is transmitted by blinking light, LED, or tail lamp of the vehicle and act as a transmitter, dashboard camera as a receiver. Thus, this data can be used to assist drivers at the highway to avoid accidents due to back-dash. The Wireless communication approach is used for vehicle to vehicle communication, the module is utilized for recognizing any preceding vehicle which will initiate the process of automatic overtaking. In the second part, a structured approach for the Automatic Number Plate Recognition method is designed with less processing time for multifaceted images. The Sobel edge detection method is used for edge detection. A fast and efficient method for plate localization and optical character recognition is proposed. Pattern matching is used to recognize characters. Finally, based on the size of the numbers on the number plate in pixels distance between vehicles, which is one of the important micro-parameter, is calculated and compared with real distance with satisfying accuracy.


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    Titel :

    Intelligent Vehicle Module Using Image Processing


    Weitere Titelangaben:

    stud. in Infrastructure & Control


    Beteiligte:
    Shah, Jiten (Herausgeber:in) / Arkatkar, Shriniwas S. (Herausgeber:in) / Jadhav, Pravin (Herausgeber:in) / Kshirsagar Deshpande, Varsha (Autor:in) / Shah, Sheel (Autor:in) / Bhalerao, Raghavendra (Autor:in)


    Erscheinungsdatum :

    14.12.2021


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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