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  Published Paper Details:

  Paper Title

FACE MASK DETECTION USING DEEP LEARNING

  Authors

  Gadhave Suyash R.,  Jadhav Kishor P.,  Bothe Aditya S.,  Bhende Pranav P.,  Gayke Shivam P.

  Keywords

Face Mask Detection, Convolutional Neural Network, MobileNetV2

  Abstract


In the recent times, the Coronaviruses that are a big family of different viruses have become very common, contagious and dangerous to the whole human kind. It spreads human to human by exhaling the infection breath, which leaves droplets of the virus on different surface which is then inhaled by other person and catches the infection too. So it has become very important to protect ourselves and the people around us from this situation. We can take precautions such as social distancing, washing hands every two hours, using sanitizer, maintaining social distance and the most important wearing a mask. Public use of wearing a masks has become very common everywhere in the whole world now. From that the most affected and devastating condition is of India due to its extreme population in small area. This paper proposes a method to detect the face mask is put on or not for offices, or any other work place with a lot of people coming to work. We have used convolutional neural network for the same. The model is trained on a real world dataset and tested with live video streaming with a good accuracy. Further the accuracy of the model with different hyper parameters and multiple people at different distance and location of the frame is done.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2202389

  Paper ID - 216194

  Page Number(s) - d296-d299

  Pubished in - Volume 10 | Issue 2 | February 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Gadhave Suyash R.,  Jadhav Kishor P.,  Bothe Aditya S.,  Bhende Pranav P.,  Gayke Shivam P.,   "FACE MASK DETECTION USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 2, pp.d296-d299, February 2022, Available at :http://www.ijcrt.org/papers/IJCRT2202389.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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