| dc.contributor.author | Majeed, Minhas Abdul Reg # 53681 | |
| dc.contributor.author | Khan, Saif Ullah Reg # 50773 | |
| dc.contributor.author | Zarkoon, Hamza Khan Reg # 51878 | |
| dc.date.accessioned | 2023-12-07T06:28:53Z | |
| dc.date.available | 2023-12-07T06:28:53Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/16724 | |
| dc.description | Supervised by Talha Alam | en_US |
| dc.description.abstract | In this paper, we review research on “AR Based Emergency Fire Detection and Exit System,” which is consist on three modules first modules is hardware based ,second module is application,third model is very interesting and new.We research alots related to this project.So we implemented on this project all this are new and interesting we show navigation through AR.Augmented Reality is the new technology where users observed digital things on real world.This app send user a notification whenever fire exist and show right path.User Scan QR code which are attach on wall of university where he/she can scan and application show exit path through navigation.We subsitute 10 research paper which is related on this project found similiarity which is make this project more interesting and new.Some projects does not send a user notification and some don’t show a path so we merge all this things and make a new application which is very useful 1 for univerisity also other solutions about indoor such as wireless sensors or 3d map ofwhole building but this methods required algorithms as well as resources so the reliable and easy solution is image tracking or we can say qr codes tracking or vu marks tracking | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN 324 | |
| dc.title | AUGMENTED REALITY BASED FIRE DETECTION AND EXIT SYSTEM | en_US |
| dc.type | Project Reports | en_US |