Face mask recognition system using CNN model
COVID-19 epidemic has swiftly disrupted our day-to-day lives affecting the international trade and movements. Wearing a face mask to protect one's face has become the new normal. In the near future, many public service providers will expect the clients to wear masks appropriately to partake of...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-09-01
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| Series: | Neuroscience Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772528621000352 |
| _version_ | 1798035989239693312 |
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| author | Gagandeep Kaur Ritesh Sinha Puneet Kumar Tiwari Srijan Kumar Yadav Prabhash Pandey Rohit Raj Anshu Vashisth Manik Rakhra |
| author_facet | Gagandeep Kaur Ritesh Sinha Puneet Kumar Tiwari Srijan Kumar Yadav Prabhash Pandey Rohit Raj Anshu Vashisth Manik Rakhra |
| author_sort | Gagandeep Kaur |
| collection | DOAJ |
| description | COVID-19 epidemic has swiftly disrupted our day-to-day lives affecting the international trade and movements. Wearing a face mask to protect one's face has become the new normal. In the near future, many public service providers will expect the clients to wear masks appropriately to partake of their services. Therefore, face mask detection has become a critical duty to aid worldwide civilization. This paper provides a simple way to achieve this objective utilising some fundamental Machine Learning tools as TensorFlow, Keras, OpenCV and Scikit-Learn. The suggested technique successfully recognises the face in the image or video and then determines whether or not it has a mask on it. As a surveillance job performer, it can also recognise a face together with a mask in motion as well as in a video. The technique attains excellent accuracy. We investigate optimal parameter values for the Convolutional Neural Network model (CNN) in order to identify the existence of masks accurately without generating over-fitting. |
| first_indexed | 2024-04-11T21:06:14Z |
| format | Article |
| id | doaj.art-b9a9ceb76dad44dd9eb9be8af43f4d12 |
| institution | Directory Open Access Journal |
| issn | 2772-5286 |
| language | English |
| last_indexed | 2024-04-11T21:06:14Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Neuroscience Informatics |
| spelling | doaj.art-b9a9ceb76dad44dd9eb9be8af43f4d122022-12-22T04:03:16ZengElsevierNeuroscience Informatics2772-52862022-09-0123100035Face mask recognition system using CNN modelGagandeep Kaur0Ritesh Sinha1Puneet Kumar Tiwari2Srijan Kumar Yadav3Prabhash Pandey4Rohit Raj5Anshu Vashisth6Manik Rakhra7Corresponding author.; Department of Computer Science and Engineering, Lovely Professional university Phagwara, Punjab 144411, IndiaDepartment of Computer Science and Engineering, Lovely Professional university Phagwara, Punjab 144411, IndiaDepartment of Computer Science and Engineering, Lovely Professional university Phagwara, Punjab 144411, IndiaDepartment of Computer Science and Engineering, Lovely Professional university Phagwara, Punjab 144411, IndiaDepartment of Computer Science and Engineering, Lovely Professional university Phagwara, Punjab 144411, IndiaDepartment of Computer Science and Engineering, Lovely Professional university Phagwara, Punjab 144411, IndiaDepartment of Computer Science and Engineering, Lovely Professional university Phagwara, Punjab 144411, IndiaDepartment of Computer Science and Engineering, Lovely Professional university Phagwara, Punjab 144411, IndiaCOVID-19 epidemic has swiftly disrupted our day-to-day lives affecting the international trade and movements. Wearing a face mask to protect one's face has become the new normal. In the near future, many public service providers will expect the clients to wear masks appropriately to partake of their services. Therefore, face mask detection has become a critical duty to aid worldwide civilization. This paper provides a simple way to achieve this objective utilising some fundamental Machine Learning tools as TensorFlow, Keras, OpenCV and Scikit-Learn. The suggested technique successfully recognises the face in the image or video and then determines whether or not it has a mask on it. As a surveillance job performer, it can also recognise a face together with a mask in motion as well as in a video. The technique attains excellent accuracy. We investigate optimal parameter values for the Convolutional Neural Network model (CNN) in order to identify the existence of masks accurately without generating over-fitting.http://www.sciencedirect.com/science/article/pii/S2772528621000352Artificial Intelligence (AL)Machine learning (ML)Deep neural learning (DL)Convolutional Neural Network Model (CNN)Artificial Neural Networks (ANN)Security |
| spellingShingle | Gagandeep Kaur Ritesh Sinha Puneet Kumar Tiwari Srijan Kumar Yadav Prabhash Pandey Rohit Raj Anshu Vashisth Manik Rakhra Face mask recognition system using CNN model Neuroscience Informatics Artificial Intelligence (AL) Machine learning (ML) Deep neural learning (DL) Convolutional Neural Network Model (CNN) Artificial Neural Networks (ANN) Security |
| title | Face mask recognition system using CNN model |
| title_full | Face mask recognition system using CNN model |
| title_fullStr | Face mask recognition system using CNN model |
| title_full_unstemmed | Face mask recognition system using CNN model |
| title_short | Face mask recognition system using CNN model |
| title_sort | face mask recognition system using cnn model |
| topic | Artificial Intelligence (AL) Machine learning (ML) Deep neural learning (DL) Convolutional Neural Network Model (CNN) Artificial Neural Networks (ANN) Security |
| url | http://www.sciencedirect.com/science/article/pii/S2772528621000352 |
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