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Monitoring of Social distancing Face mask Using CNN
2021 International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1685140
ABSTRACT
The outbreak of the Pandemic in last few months, rapid increase in the transmission of the virus and also the new emerging various strains of COVID-19 corona virus has led to complete Iockdown in the entire world. Meanwhile Iockdown imposed on various countries for longer duration has affected almost every sector of the society causing loss leading to hunger and poverty in the world. By considering all the situations and difficulties underwent by the human society a clear scenario where country not only needs Iockdown as it cannot be the effective solution in slowing down the rate of disease affecting people, So Society is Constantly looking for the alternatives that could help every sector in their business without loss is the topic of the hour. An alternative which could satisfy the above conditions is by Social Distancing and Wearing the Face mask. There by proposing our Real Time System which will detect whether required distance is maintained between two people and detect whether the face mask is worn or not by people with the aid of Web Camera using the most trending technologies Artificial Intelligence, Machine Learning Algorithms, Deep Learning, CNN and few more. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2021 Year: 2021 Document Type: Article