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Deep Learning based Face-Mask and Shield Detection
2021 International Conference on Computational Intelligence and Computing Applications, ICCICA 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1759073
ABSTRACT
We all are facing an immense health calamity due to the speedy transmission of Covid-19. People are dying due to this deadly virus. Physical contact with an affected individual can transmit this disease. World Health Organization (WHO) issued many ways to avoid infection of Covid-19. In communal locations, wearing a face mask is one of the most effective strategies to protect oneself. For long periods of time, several countries have been in lockdown. As the world returns to normalcy, wearing a mask in public places might be crucial. Manually monitoring the mob would be challenging. So, we devised a way for determining whether or not a person in the crowd is wearing a mask. The proposed framework can detect masks and face shields with an accuracy of 95.7%. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 International Conference on Computational Intelligence and Computing Applications, ICCICA 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 Computational Intelligence and Computing Applications, ICCICA 2021 Year: 2021 Document Type: Article