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dc.contributor.author | Maryam Khan, 01-235161-086 | |
dc.contributor.author | Muhammad Junaid Manzoor, 01-235161-022 | |
dc.date.accessioned | 2021-01-12T02:52:14Z | |
dc.date.available | 2021-01-12T02:52:14Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://hdl.handle.net/123456789/10766 | |
dc.description | Supervised by Ms. Alyia Amir | en_US |
dc.description.abstract | Augmented Reality (AR) is one of the major areas of computer science which merges real world with digital data. Traditional AR systems including augmenting lines and sport events records on TV are considered expensive and may require special devices. In the recent decade, the processing power of the computational units has shown significant rise in transmission bandwidth, memory capacity, and speed. The AR technology has enabled the transition of AR onto portable, every day, and cheap off the shelf devices including mobile phones, which turns open mass markets for AR applications as the potential users already have the suitable platform for AR. Furthermore, cloud computing and cloud services enable the use of huge databases even on mobile devices | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences BUIC | en_US |
dc.relation.ispartofseries | BS (IT);MFN-P 9026 | |
dc.subject | Furniture Purchase | en_US |
dc.title | Furniture purchase through AR | en_US |
dc.type | Project Reports | en_US |