Performance Analysis of Different Architectures on Face Mask Detection

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...

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Bibliographic Details
Published in:Turkish journal of computer and mathematics education 2021-01, Vol.12 (13), p.377-381
Main Authors: Padmaja, D Lakshmi, Sriharsha, G K, Rao, G N V, Reddy, K Sudheer
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Artificial neural networks
Datasets
Literature reviews
Mathematics education
Neural networks
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Summary: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.
ISSN:1309-4653