Performance Analysis of Different Architectures on Face Mask Detection
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Abstract
The paper focus on the Face Mask Detection by which we can differentiate people who are wearing mask and not wearing mask. Now a days due to covid19 everyone is instructed to wear mask. This Face Mask Detection Model we can detect people who are not wearing masks. The people who have Diabetic, Hyper tension (BP) and lung diseases are easily affected by the covid19 virus. This study, mainly focuses on how the Convolution Neural Network(CNN) model created,and use the model to identify whether the person is with or without mask.
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