TEMPERATURE AND MASK SCAN ENTRY SYSTEM FOR COVID PREVENTION

Ahmad, Shamoon Reg # 57038; Wali, Syed Monis Reg # 57312; Aziz, Rafay Reg # 57105; Aziz, Shafay Reg # 57050

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dc.contributor.author	Ahmad, Shamoon Reg # 57038
dc.contributor.author	Wali, Syed Monis Reg # 57312
dc.contributor.author	Aziz, Rafay Reg # 57105
dc.contributor.author	Aziz, Shafay Reg # 57050
dc.date.accessioned	2023-05-17T05:26:24Z
dc.date.available	2023-05-17T05:26:24Z
dc.date.issued	2022
dc.identifier.uri	http://hdl.handle.net/123456789/15454
dc.description	Supervised by Engr. Sahibzada Wajid Ali	en_US
dc.description.abstract	The increasing number of COVID-19 tests offers additional information about the epidemic's spread, perhaps allowing it to be managed and more infections avoided. Wearing a face mask to reduce droplet transmission in the air, keeping adequate physical space between individuals, and avoiding direct contact can all assist to prevent this outbreak. As a result, the focus ofthis research is on developing a Face Mask and Temperature Detection model utilizing a vision system. The author’s goal in this thesis is to create a model that can detect faces wearing masks and assess their temperature. Ifthe temperature is higher than normal, the door will not open, and ifthey don't have a mask, the door will not open as well.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Bahria University Karachi Campus	en_US
dc.relation.ispartofseries	BEE;MFN BEE 118
dc.title	TEMPERATURE AND MASK SCAN ENTRY SYSTEM FOR COVID PREVENTION	en_US
dc.type	Project Reports	en_US