Our nation has been rapidly developing for decades, with many business buildings, well-maintained highways, and increasing vehicles. The transportation sector’s extensive use in trade and commerce has also become the economy’s foundation. Parking automobiles has, therefore, become an issue. Parking availability is a major problem in some areas, particularly retail centers, hospitals, and other structures that need much room to park cars. The established methods of placing sensors for parking cars grow expensive. As a result, an effective strategy that lasts a long period is needed to handle the congestion problem. This project aims to provide an IoT framework for smart vehicle parking. The method that has been created yields consistent results when parking effectiveness and search time parameters are used.


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    Titel :

    Design and Management of an Intelligent Parking Slot System using Computer Vision


    Beteiligte:
    Prakash, N (Autor:in) / Kumareshan, N (Autor:in) / Tamilselvan, S (Autor:in) / Gowrishankar, R (Autor:in)


    Erscheinungsdatum :

    21.12.2023


    Format / Umfang :

    328273 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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