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dc.contributor.authorOlupot, Robert
dc.date.accessioned2021-03-05T10:31:02Z
dc.date.available2021-03-05T10:31:02Z
dc.date.issued2021-03-05
dc.identifier.citationOlupot, R. (2021). Design and Implementation of an Unmanned Aerial Vehicle Based Urban Air Quality Monitoring System. (Unpublished undergraduate dissertation) Makerere University. Kampala, Ugandaen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/9318
dc.descriptionA project report submitted in partial fulfilment of the requirements for the award of Degree of Bachelor of Science in Computer Engineering of the College of Engineering, Design, Art and Technology, Makerere Universityen_US
dc.description.abstractAir pollution monitoring has recently become an issue of utmost importance in our society. This is due to the growing air pollution concerns and related respiratory illnesses caused by the air pollutants. Assessment of air quality has been traditionally conducted by ground based monitoring, manned aircrafts and satellites. However, performing fast, comprehensive data collection near air pollution sources is not always feasible due to the complexity of sites, moving sources or physical barriers. Unmanned Aerial Vehicle (UAV) is getting attention in air quality monitoring application due to its high maneuverability in both the horizontal and the vertical dimensions to obtain high special resolution and near surface vertical profiling of atmosphere pollution. This work designs and develops a low cost particulate matter air monitoring system to be mounted on the UAV. The components used are light, consume less power and are readily available. Using JavaScript programming language and following the Rapid Application development procedures, the graphical user Interface was developed. To achieve the real time data logging feature, an open source software known as Adafruit IO alongside the python programming language were employed. The portable air pollution detection system was assembled using a raspberry pi 3B, an SDS011 particulate matter sensor, a modem, and an SD Card. The key results of this study were a mobile air pollution detection system made of lightweight materials that can effectively operate in the UAV, a real time data repository system that logs and stores air quality data collected by the detection system in the UAV, and a graphical User Interface that displays the collected and stored data, along with the air quality index.en_US
dc.language.isoenen_US
dc.subjectAerial Vehicleen_US
dc.subjectAir Quality Monitoring Systemen_US
dc.titleDesign and Implementation of an Unmanned Aerial Vehicle Based Urban Air Quality Monitoring Systemen_US
dc.typeThesisen_US


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