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Title: Seat vacancy detection system through image recognition
Authors: Lee, Hong Ying
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Lee, H. Y. (2022). Seat vacancy detection system through image recognition. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: SCSE21-0699
Abstract: This Final Year Project focuses on the design and implementation of a Internet of Things (IoT) system that allows users to receive seat vacancy information through image recognition and processing. As this project makes use of a RPI which has limited computational power, minimal bandwidth requirement is a crucial factor to consider in reducing the workload of the RPI. While taking into consideration the limited computational powers of a RPI, existing technologies on the market were studied and experiments were carried out in order to aid the development of this project. This report aims to go through the lifecycle of the project beginning from requirement analysis, to system design, implementation and testing results of the project, as well as conclusion and suggestions for future work.
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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