Proposed Detection Face Model by MobileNetV2 Using Asian Data Set
In 2019, the infectious coronavirus disease 2019 (COVID-19) was first reported in Wuhan, China. It has then become a public health problem in the world. This pandemic is having a heavy impact on the lives of people in our country. All countries are trying to control the spread of this disease. To so...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/9984275 |
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| _version_ | 1832549240163794944 |
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| author | Phat Nguyen Huu Vinh Tran Quang Chau Nguyen Le Bao Quang Tran Minh |
| author_facet | Phat Nguyen Huu Vinh Tran Quang Chau Nguyen Le Bao Quang Tran Minh |
| author_sort | Phat Nguyen Huu |
| collection | DOAJ |
| description | In 2019, the infectious coronavirus disease 2019 (COVID-19) was first reported in Wuhan, China. It has then become a public health problem in the world. This pandemic is having a heavy impact on the lives of people in our country. All countries are trying to control the spread of this disease. To solve the problem, each person needs to wear masks in a public place. Therefore, we propose a model capable of distinguishing between masked and nonmasked faces using a convolutional neural network (CNN) based on deep learning (DL)—MobileNetV2 in this paper. The model can detect people who are not wearing masks. It has an accuracy of up to 99.37%. The model will be applied in places such as schools, offices, and so on to monitor the wearing masks. |
| format | Article |
| id | doaj-art-75b540dc6f3f4976b28c74bce42fd628 |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-75b540dc6f3f4976b28c74bce42fd6282025-02-03T06:11:53ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/9984275Proposed Detection Face Model by MobileNetV2 Using Asian Data SetPhat Nguyen Huu0Vinh Tran Quang1Chau Nguyen Le Bao2Quang Tran Minh3School of Electrical and Electronic EngineeringSchool of Electrical and Electronic EngineeringSpecialized Math ClassDepartment of Information SystemsIn 2019, the infectious coronavirus disease 2019 (COVID-19) was first reported in Wuhan, China. It has then become a public health problem in the world. This pandemic is having a heavy impact on the lives of people in our country. All countries are trying to control the spread of this disease. To solve the problem, each person needs to wear masks in a public place. Therefore, we propose a model capable of distinguishing between masked and nonmasked faces using a convolutional neural network (CNN) based on deep learning (DL)—MobileNetV2 in this paper. The model can detect people who are not wearing masks. It has an accuracy of up to 99.37%. The model will be applied in places such as schools, offices, and so on to monitor the wearing masks.http://dx.doi.org/10.1155/2022/9984275 |
| spellingShingle | Phat Nguyen Huu Vinh Tran Quang Chau Nguyen Le Bao Quang Tran Minh Proposed Detection Face Model by MobileNetV2 Using Asian Data Set Journal of Electrical and Computer Engineering |
| title | Proposed Detection Face Model by MobileNetV2 Using Asian Data Set |
| title_full | Proposed Detection Face Model by MobileNetV2 Using Asian Data Set |
| title_fullStr | Proposed Detection Face Model by MobileNetV2 Using Asian Data Set |
| title_full_unstemmed | Proposed Detection Face Model by MobileNetV2 Using Asian Data Set |
| title_short | Proposed Detection Face Model by MobileNetV2 Using Asian Data Set |
| title_sort | proposed detection face model by mobilenetv2 using asian data set |
| url | http://dx.doi.org/10.1155/2022/9984275 |
| work_keys_str_mv | AT phatnguyenhuu proposeddetectionfacemodelbymobilenetv2usingasiandataset AT vinhtranquang proposeddetectionfacemodelbymobilenetv2usingasiandataset AT chaunguyenlebao proposeddetectionfacemodelbymobilenetv2usingasiandataset AT quangtranminh proposeddetectionfacemodelbymobilenetv2usingasiandataset |