Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151006
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
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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