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Face Mask Detection Using Machine Learning

EasyChair Preprint 7797

5 pagesDate: April 18, 2022

Abstract

The purpose of the project “Face Mask Detection Using Machine Learning” is to create a tool that 
identifies the image of a human that can calculate the probability that he/she wearing a mask or not. 
Due to COVID, wearing a face mask is must in order to stay safe. As the country starts going through 
various stages of reopening, face masks have become an important element of our daily lives to stay 
safe. Wearing face masks will be required in order to socialize or conduct business. So, this application 
utilizes a camera to detect if a person is wearing a mask or not.

Keyphrases: abstract, flow chart, modelling, project design, system analysis

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:7797,
  author    = {Aasim Ismail and Anurag Kumar},
  title     = {Face Mask Detection Using Machine Learning},
  howpublished = {EasyChair Preprint 7797},
  year      = {EasyChair, 2022}}
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