| dc.contributor.author | Iqbal, Murtaza Muhammad Reg # 41340 | |
| dc.contributor.author | Soomro, Shiza Aslam Reg # 41355 | |
| dc.contributor.author | Rizvi, Syed Abbas Ali Reg # | |
| dc.contributor.author | Salman, Waqas Reg # 41377 | |
| dc.contributor.author | Kainaat Reg # 41295 | |
| dc.date.accessioned | 2023-03-16T04:58:07Z | |
| dc.date.available | 2023-03-16T04:58:07Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/15196 | |
| dc.description | Supervised by Aisha Danish | en_US |
| dc.description.abstract | Millions ofpeople worldwide die prematurely as a consequence ofair pollution. Many of these deaths occur in large cities, where exhaust from cars, factories, and power plants fills the air with hazardous particles.Air quality nowadays has been degraded to a large extent that it has become a necessary criteria for us to monitor its quality. The quality of air has been affected by various factors like industrial emission, vehicular transmission etc. The evolution of various technology like the Internet of Things, Raspberry Pi, it has become easier for us to deploy sensors and allow to detect the quality of air in real time. The Internet Of things is a term for various devices communicating with each other which was not possible before since the different devices use different kind of data which has been overcome by the use ofsingle board computer (Raspberry Pi). Integration of IOT with Sensor nodes with the help of Raspberry Pi for Air Quality Monitoring provides an effective way than the approaches that were previously used. Sensor web node is proposed with commercial gas for detecting the gases to monitor both indoor and outdoor air quality. The results obtained through these sensors are then evaluated | en_US |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | BSCS;MFN BSCS 186 | |
| dc.title | REAL-TIME AIR QUALITY MONITOR USING loT | en_US |
| dc.type | Project Reports | en_US |