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Detection of Face Mask Using Deep Learning

  • Unique Paper ID: 155414
  • Volume: 9
  • Issue: 1
  • PageNo: 698-701
  • Abstract:
  • Today the biggest problem the world is facing above all the natural disasters is the Covid-19. It's been more than a year but the solution to the issue is still at a far fetch. However, we still have few ways to control the outbreak as instructed by the WHO (World Health Organization). A few among them are wearing a mask and maintaining social distance. The objective of the paper is to detect face masks in a public gathering or an event. The algorithm used in this paper to achieve the objective is MobileNet V2. An image of a few people wearing a mask and without wearing a mask is used as an input dataset. The proposed process includes dataset pre-processing, data augmentation, training, testing and image segmentation. With the help of the Mask R-CNN algorithm, will get a segmented image of the input dataset of people wearing a mask and people not wearing a mask. The proposed algorithm can be merged with real time applications at airports, railway stations, workplaces, schools, and other public places to ensure compliance with the guidelines for public safety.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 1
  • PageNo: 698-701

Detection of Face Mask Using Deep Learning

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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