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  Published Paper Details:

  Paper Title

FACE MASK DETECTION AND COUNTER WITH AN ALERT SYSTEM

  Authors

  NAVULURI YASWANTH KUMAR,  GUNDALA NITEESH REDDY,  SHAIK RASUL,  GUTTI YOSHITH

  Keywords

Mask detection, OpenCV, E-mail, Thingspeak

  Abstract


Due to an unexpected pandemic these days, wearing a face mask is recommended to save ourselves and others from the virus. But it is difficult to monitor every customer whether he is wearing a mask or not. But it is very important. So, to overcome this problem, To devise a solution to monitor every customer using a deep learning concept. So, to develop a face mask detector with OpenCV/Keras and update the count of customers waiting outside with an email alert system if at least one customer is not wearing a mask. This helps us easily identify whether the customers are wearing masks, which helps us take safety measures according to it. Using different types of platforms such as mobilev2net and resnet architecture, the accuracy of resnet architecture is higher than the other architecture.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2211141

  Paper ID - 227295

  Page Number(s) - b247-b250

  Pubished in - Volume 10 | Issue 11 | November 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  NAVULURI YASWANTH KUMAR,  GUNDALA NITEESH REDDY,  SHAIK RASUL,  GUTTI YOSHITH,   "FACE MASK DETECTION AND COUNTER WITH AN ALERT SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 11, pp.b247-b250, November 2022, Available at :http://www.ijcrt.org/papers/IJCRT2211141.pdf

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ISSN: 2320-2882
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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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