There are several serious risks and difficulties that are associated with overcrowding in India’s metros and city buses. The public may be affected in a variety of ways by these problems. These include risks to ones health, longer travel times, decreased comfort, quality of the trip and safety issues. Some solutions like using IR sensors are used for over-crowd controlling which is mostly inaccurate in counting the number of passengers. By using face recognition technology, some of the issues related to transportation system congestion can be lessened. While addressing the issues related to congestion, face recognition technology can support the safe and effective operation of transportation networks. To precisely count passengers as they enter and exit buses and metros, face recognition systems can relate to ticketing and boarding systems. There are several possible actions that could be taken, like sending out a pulse signal to alert passengers and transportation staff about overcrowding, automatically closing the doors until any passenger requests to get down, or even turning off the ignition system if the overcrowding is not under control. The Raspberry Pi may be used for face detection. Transportation authorities can take the necessary action by using this data to monitor and manage over-crowding in real-time.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Over-Crowd Avoiding In Transportation With Face DetectionUsing Raspberrypi


    Beteiligte:
    Suneel, T (Autor:in) / Vishnu Mahesh, A S (Autor:in) / Akhil Kumar, B (Autor:in) / Blessy Babu, K (Autor:in) / Gayatri, B (Autor:in)


    Erscheinungsdatum :

    14.03.2024


    Format / Umfang :

    549745 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Crowd management in transportation infrastructures

    Forschungszentrum Jülich / University of Wuppertal / Ruhr University Bochum | DataCite | 2022




    Five crowd over Tasman

    Online Contents | 1996


    A Crowd-Cooperative Approach for Intelligent Transportation Systems

    Cerotti, Davide / Distefano, Salvatore / Merlino, Giovanni et al. | IEEE | 2017