Automatic Face Mask Recognition System With FCM AND BPNN
| Autor: | Ashok Bekkanti, Yamini Tondeti, Cmak Zeelan Basha, Yalanati Ayyappa, P. Neelakanteswara |
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| Rok vydání: | 2021 |
| Předmět: |
Artificial neural network
business.industry Computer science 02 engineering and technology Facial recognition system Backpropagation 030218 nuclear medicine & medical imaging Support vector machine Back propagation neural network 03 medical and health sciences 0302 clinical medicine Face (geometry) 0202 electrical engineering electronic engineering information engineering Recognition system Median filter 020201 artificial intelligence & image processing Computer vision Artificial intelligence business |
| Zdroj: | 2021 5th International Conference on Computing Methodologies and Communication (ICCMC). |
| DOI: | 10.1109/iccmc51019.2021.9418243 |
| Popis: | In the year 2020, a pandemic situation occurs throughout the world with COVID-19.It is a virus which can be transmitted from person to another with cough or sneeze. It has become mandatory to use face mask in order to get away from the infection of virus. A person is allowed into the office or any other organization only if the person is having a mask. Entry into the organization is restricted without the face mask. Here an automated face mask detection system is proposed for with Median filtering and Back propagation neural network (BPNN).91% accuracy is achieved with the proposed methodology. This computerized face mask detection technique is found to be very apt in the present pandemic situation in these days |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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