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Title: | Indoor UAV crowd investigation part 2 via computer vision applications and federated learning methods | Authors: | Tan, Mitchell Ming Kai | Keywords: | Engineering::Mechanical engineering | Issue Date: | 2021 | Publisher: | Nanyang Technological University | Source: | Tan, M. M. K. (2021). Indoor UAV crowd investigation part 2 via computer vision applications and federated learning methods. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/151006 | Project: | B377 | Abstract: | In this report, the author examines different machine learning methods that aids in crowd counting in the novel context of a fixed location within NTU. The author aims to create an end-to-end solution by creating a self-made dataset and then testing it against contemporary ML models. As privacy is also a top concern that comes to mind for consumers, Federated Learning comes into play within this project. The author will conduct a quick treatment of which Federated algorithm should be used over the novel ones proposed by the scientific community. Lastly, the author attempts to convert the chosen crowd counting model into a mobile lite and federated model for the unique application within NTU. | URI: | https://hdl.handle.net/10356/151006 | Schools: | School of Mechanical and Aerospace Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | MAE Student Reports (FYP/IA/PA/PI) |
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File | Description | Size | Format | |
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B377_TMK_Mitchell_FYP Report_Final_ay2021.pdf Restricted Access | 4.96 MB | Adobe PDF | View/Open |
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