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Smart city article details
| Title | Mask Detection Using Computer Vision |
|---|---|
| ID_Doc | 36445 |
| Authors | Bhale Y.; Agrawal N.; Kelwa S. |
| Year | 2021 |
| Published | Proceedings of the 2021 10th International Conference on System Modeling and Advancement in Research Trends, SMART 2021 |
| DOI | http://dx.doi.org/10.1109/SMART52563.2021.9676252 |
| Abstract | Covid-19, a pandemic caused by a noble coronavirus, has afflicted the world for the past two years Every aspect of development has been impacted by Covid-19 There were several problems with the healthcare system In the meanwhile, numerous methods have been made to lessen the spirit of this condition, one of which is the use of a mask on the face In this research, we offer a strategy for reducing covid-19 development by identifying persons who are not using masks or are not wearing them appropriately Closed-circuit television (CCTV) cameras are used in smart cities and public places When a person without a mask is identified, the city network informs the authorities The deep learning design is based on a data set that compares photos of individuals wearing and without wearing masks from a variety of sources For prior test information, the prepared design aided 97. 3 percent of existence on dysentery individuals with and without a facial mask It is anticipated that our research would prove to be a beneficial tool in protecting our people from diseases like these © 2021 IEEE. |
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