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dc.contributor.author | Usama Sajjad Mirza, 01-134172-057 | |
dc.date.accessioned | 2021-04-12T06:43:19Z | |
dc.date.available | 2021-04-12T06:43:19Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | http://hdl.handle.net/123456789/11155 | |
dc.description | Supervised by Ms.Zubaria Inayat | en_US |
dc.description.abstract | This study examines a potential solution to the quickly spreading Corona vims disease. The current societal landscape has gone through a drastic change due to Covid- 19. The sudden appearance of the vims made the few things that have propelled humanity so far non-viable; communication and collaboration. People are no longer able to meet with each other or step foot outside which has resulted in the downward spiral of the economy. It is in the best interest of the people to try to mitigate the effects of the vims and return to life before the vims as soon as possible which can only be done so through prevention. This is why governments all over the world are looking for means to detect breaching of standard operating procedures on a large scale for densely populated areas, residential districts, large offices, and other enterprises to ensure safety. The purpose of this project is to design a system that detects whether the people in a public place maintain social distancing and whether every individual is wearing a face mask. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences BUIC | en_US |
dc.relation.ispartofseries | BS (CS);MFN-P 9106 | |
dc.subject | Covid-19 | en_US |
dc.subject | Face Mask Detection | en_US |
dc.title | Covid-19 Prevention: Social Distancing and Face Mask Detection | en_US |
dc.type | Project Reports | en_US |