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  Published Paper Details:

  Paper Title

  Authors

  Pradnesh Naik,  Arpit Shah,  Ravi Sharma,  Mann Vaity

  Keywords

Mask detection, COVID-19, MobileNetV2, Sequential Convolutional Neural Network

  Abstract


COVID-19 pandemic has rapidly affected our day-to-day life disrupting the world trade and movements. Wearing a protective face mask has become new normal in our life. In the near future, most of the public service providers will ask their customers to wear masks correctly for availing their services. Therefore, face mask detection has become a crucial task to help our society. This method detects the face from the image correctly and then identifies if the person is wearing a mask or not. As a surveillance task performer, it is also able to detect a face along with a mask in motion. We explore optimized values of parameters using the Sequential Convolutional Neural Network model to detect the presence of masks correctly.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2108444

  Paper ID - 211395

  Page Number(s) - e24-e26

  Pubished in - Volume 9 | Issue 8 | August 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Pradnesh Naik,  Arpit Shah,  Ravi Sharma,  Mann Vaity,   "FACE MASK DETECTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 8, pp.e24-e26, August 2021, Available at :http://www.ijcrt.org/papers/IJCRT2108444.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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