Most of the people start their day by facing the same problem of finding vacant space in parking. Seeking a vacant parking slot during peak hours in areas like Colleges, Shopping Malls, Cinema theatres, Exhibitions and Convention Center has always been frustrating for many drivers. So here we are with the solution, in this paper we are addressing the vacant space with the help of deep learning method convolution neural network (CNN) and we are using PKLot Dataset which is already available. Vacant space is addressed with the help of red and green color boundaries. Red color indicates the car is present and the green color indicates there is vacant space. This system is efficient, effective and user friendly for finding the vacant space in parking.


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    Titel :

    Automated Car Parking System Using Deep Convolutional Neural Networks


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Kumar, Amit (Herausgeber:in) / Senatore, Sabrina (Herausgeber:in) / Gunjan, Vinit Kumar (Herausgeber:in) / Agrawal, Preeti (Autor:in) / Patole, Akash (Autor:in) / Patil, Yogesh (Autor:in) / Kaur, Parminder (Autor:in)

    Erschienen in:

    ICDSMLA 2020 ; Kapitel : 19 ; 219-229


    Erscheinungsdatum :

    2021-11-09


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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