The COVID-19 surge has impacted surge has an impact of each and every part of world. Vaccination is going on but still some measures are required to maintain the social distances to reduce transmission of virus. The transportation is the rapid source of transmission of diseases as daily number of people makes use of public transportation. We have proposed the concept of the smart bus will can contribute a lot in controlling its massive spread. So, we will be proposing the new design for the smart bus for promoting the contact-less journey. In the case, the door entry will be based on the face recognition concept, for the purpose of the face recognition, we will use of the concept of the facial landmark analysis and with the concept of the machine learning. For the transportation purpose, the face parameters are linked with the smart bus database, which require the passenger to take a pre-paid card, in order to enjoy the travel. The bus will have the camera which recognize in the passenger face and give the entry and the bus will be automated driving mode using the google navigation system and traffic sensing system. The bus will be driver less and the bus will have sensors in the seats which operate on the pressure concept, so the seating arrangement in the bus is also on basis of the social distancing. If the social distancing, is not maintained as passenger tries to sit on the wrong seat and the alarm them will sound in the bus and the bus will not move further. So, using these concepts, we can reduce the COVID-19 chances of spreading due to the usage of public transportation services.


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    Titel :

    Smart Bus Concept of COVID-19 Prevention Using FaceBio Keys


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Rathore, Vijay Singh (Herausgeber:in) / Sharma, Subhash Chander (Herausgeber:in) / Tavares, Joao Manuel R.S. (Herausgeber:in) / Moreira, Catarina (Herausgeber:in) / Surendiran, B. (Herausgeber:in) / Rathore, Dhara (Autor:in) / Saxena, Akash (Autor:in) / Das, Gaurav Kumar (Autor:in)


    Erscheinungsdatum :

    2022-07-04


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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