Today the world is suffering from global pandemic, and maintaining a social distance is a must. COVID-19 has changed the perception of the whole world. Public Transport Company has been developing the system for displaying the position of the passenger vehicle for convenience of the customers. However, those systems only indicate the position of the vehicle but not show the availability of seats in the vehicle. People will waste time waiting for the next passenger vehicle and cannot manage the time of travel or activities correctly. If customers know both position of the passenger vehicle and vacancy of seats, people can use the time to do other activities before the passenger vehicle arrives. So, in this project, we are going to help those people by letting them know the situation of bus whether it is crowded or empty or moderate by notifying the passenger count on their phone through an application and later on they can decide whether to take this bus or wait for the next arrival. So, in this project, the passenger information system is designed by using image processing technique. Raspberry Pi can is connected with Raspberry Pi 4 in the bus for detecting the object on the bus and sending the data to the server via 4G communication. This system uses open-source computer vision (open CV) real-time object detection to analyze and process the data and then calculate the count of the passenger by using the maximum face detection data.


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    Titel :

    Bus Monitoring System Using Raspberry Pi


    Weitere Titelangaben:

    Lecture Notes on Data Engineering and Communications Technologies


    Beteiligte:
    Vasudevan, Hari (Herausgeber:in) / Gajic, Zoran (Herausgeber:in) / Deshmukh, Amit A. (Herausgeber:in) / Sawant, Tushar (Autor:in) / Shah, Krupansh (Autor:in)


    Erscheinungsdatum :

    2022-01-15


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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