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dc.contributor.author | Usama Reg # 57481 | |
dc.contributor.author | Zahid, Haris Reg # 57482 | |
dc.contributor.author | Arif, Hafsa Reg # 57471 | |
dc.date.accessioned | 2023-03-10T05:53:44Z | |
dc.date.available | 2023-03-10T05:53:44Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://hdl.handle.net/123456789/15146 | |
dc.description | Supervised by Engr. Asif Raza | en_US |
dc.description.abstract | The aim of this project is to introduce the technologies which are AI- based help to improve ability in waste collection and disposal, also manage the challenges which is faced by various industries including the various fields in the municipal organizations like (he detecting solid waste and informing the authorized persons with the help ofandroid application for notification. With the global population, the municipality Organization is facing Problems, but AI has the potential and energy to deliver best needed solution. Our Ai- based technological solutions has enabled the scavenger to produce more good results output with less input and even improved the quality ofresult. We are providing automatic waste managing systems based on image detecting which detects metal materials or other special types of waste materials. With an associate approach consisting ofthe hard- ware devices such as a drone, Arduino, GPS/GSM module, deep learning, machine learning and image processing algorithms, we introduce a better solution to the problem of effective solid waste detection and management. This system will capture real time images/video using SUAV and further process the data to detect solid waste litter at unusual places. To notify the respective person-in-charge for taking the necessary action to clean the solid waste. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Bahria University Karachi Campus | en_US |
dc.relation.ispartofseries | BCE;MFN BCE-63 | |
dc.title | SMART UNMANNED AERIAL VEHICLE | en_US |
dc.type | Thesis | en_US |