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Real Time Face Mask Detection with Deep Learning

K Sudha, Tanishque Shandilya, Apoorav *, Nikhil Arya

Abstract


The pandemic because of COVID-19 needs no introduction. An all-too-important and successful weapon against it has been the utilization of face masks. A special technique is presented in this paper for detecting automatically whether someone is wearing a mask or not, contingent on the machine learning technique. The findings can be utilized by authorities to warn or fine people for not wearing mask, especially at public places. This work relies on deep learning through neural networks, specifically, MobileNetV2, trained and examined on images of people faces with and without masks, collected from different sources. The accuracy of the detection is 96% on the test dataset whereas the most effective result in the literature is 92% or lower.


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References


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