{"title":"基于深度学习的面罩和屏蔽检测","authors":"Vaibhav Mukund Shinde, Nakshatra Jagtap, Hrushikesh Shukla","doi":"10.1109/iccica52458.2021.9697237","DOIUrl":null,"url":null,"abstract":"We all are facing an immense health calamity due to the speedy transmission of Covid-19. People are dying due to this deadly virus. Physical contact with an affected individual can transmit this disease. World Health Organization (WHO) issued many ways to avoid infection of Covid-19. In communal locations, wearing a face mask is one of the most effective strategies to protect oneself. For long periods of time, several countries have been in lockdown. As the world returns to normalcy, wearing a mask in public places might be crucial. Manually monitoring the mob would be challenging. So, we devised a way for determining whether or not a person in the crowd is wearing a mask. The proposed framework can detect masks and face shields with an accuracy of 95.7%.","PeriodicalId":327193,"journal":{"name":"2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deep Learning based Face-Mask and Shield Detection\",\"authors\":\"Vaibhav Mukund Shinde, Nakshatra Jagtap, Hrushikesh Shukla\",\"doi\":\"10.1109/iccica52458.2021.9697237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We all are facing an immense health calamity due to the speedy transmission of Covid-19. People are dying due to this deadly virus. Physical contact with an affected individual can transmit this disease. World Health Organization (WHO) issued many ways to avoid infection of Covid-19. In communal locations, wearing a face mask is one of the most effective strategies to protect oneself. For long periods of time, several countries have been in lockdown. As the world returns to normalcy, wearing a mask in public places might be crucial. Manually monitoring the mob would be challenging. So, we devised a way for determining whether or not a person in the crowd is wearing a mask. The proposed framework can detect masks and face shields with an accuracy of 95.7%.\",\"PeriodicalId\":327193,\"journal\":{\"name\":\"2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iccica52458.2021.9697237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccica52458.2021.9697237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deep Learning based Face-Mask and Shield Detection
We all are facing an immense health calamity due to the speedy transmission of Covid-19. People are dying due to this deadly virus. Physical contact with an affected individual can transmit this disease. World Health Organization (WHO) issued many ways to avoid infection of Covid-19. In communal locations, wearing a face mask is one of the most effective strategies to protect oneself. For long periods of time, several countries have been in lockdown. As the world returns to normalcy, wearing a mask in public places might be crucial. Manually monitoring the mob would be challenging. So, we devised a way for determining whether or not a person in the crowd is wearing a mask. The proposed framework can detect masks and face shields with an accuracy of 95.7%.