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dc.contributor.author | Uzair, Muhammad Reg # 54274 | |
dc.contributor.author | Shahab, Affan Reg # 54261 | |
dc.contributor.author | Naureena Reg # 54271 | |
dc.date.accessioned | 2023-11-28T06:09:04Z | |
dc.date.available | 2023-11-28T06:09:04Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://hdl.handle.net/123456789/16599 | |
dc.description | Supervised by Sumeera Hashmi | en_US |
dc.description.abstract | Computerized picture handling manages control of cutting edge pictures through a high level PC. It is a subfield of signs and systems anyway revolve particularly around pictures. Picture Processing bases on encouraging a PC structure that can perform dealing with on an image. The commitment of that structure is a high level picture and the system connection that image including useful computations and gives an image thus. Machines can be educated to decipher pictures the same way our cerebrums do and to investigate those pictures substantially more completely than we can. When applied to picture handling, man-made reasoning (AI) can drive face acknowledgment and confirmation usefulness for guaranteeing security openly places, distinguishing, and perceiving items and examples in pictures and recordings, etc. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Bahria University Karachi Campus | en_US |
dc.relation.ispartofseries | BS IT;MFN 45 | |
dc.title | AN ANDROID APP FOR THE DETECTION OF IMPURITIES IN WATER | en_US |
dc.type | Project Reports | en_US |