Development of a robot vision system for installation progress monitoring
This dissertation researches on the implementation of an industrial solution for construction site progress monitoring by deploying a robot with vision sensors and artificial intelligence techniques. Construction progress monitoring is an important topic for efficient construction project management...
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Format: | Thesis-Master by Coursework |
Language: | English |
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Nanyang Technological University
2020
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Online Access: | https://hdl.handle.net/10356/141068 |
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author | Cheung, Shing Chit |
author2 | CHEAH Chien Chern |
author_facet | CHEAH Chien Chern Cheung, Shing Chit |
author_sort | Cheung, Shing Chit |
collection | NTU |
description | This dissertation researches on the implementation of an industrial solution for construction site progress monitoring by deploying a robot with vision sensors and artificial intelligence techniques. Construction progress monitoring is an important topic for efficient construction project management with satisfactory quality. This research aims to use a robot for progress monitoring in order to reduce manpower involved and to ensure well-organized supervision on the construction progress. The application scope of this dissertation focuses on the constructions using Prefabricated Prefinished Volumetric Construction (PPVC) method. Thus, this dissertation will research and propose a program including the pre-processing of the images captured in a PPVC construction site, the development of the machine learning and convolutional neural network for object recognition, and the post-processing of the recognition results. |
first_indexed | 2024-10-01T06:47:44Z |
format | Thesis-Master by Coursework |
id | ntu-10356/141068 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T06:47:44Z |
publishDate | 2020 |
publisher | Nanyang Technological University |
record_format | dspace |
spelling | ntu-10356/1410682023-07-04T16:33:06Z Development of a robot vision system for installation progress monitoring Cheung, Shing Chit CHEAH Chien Chern School of Electrical and Electronic Engineering ECCCheah@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems This dissertation researches on the implementation of an industrial solution for construction site progress monitoring by deploying a robot with vision sensors and artificial intelligence techniques. Construction progress monitoring is an important topic for efficient construction project management with satisfactory quality. This research aims to use a robot for progress monitoring in order to reduce manpower involved and to ensure well-organized supervision on the construction progress. The application scope of this dissertation focuses on the constructions using Prefabricated Prefinished Volumetric Construction (PPVC) method. Thus, this dissertation will research and propose a program including the pre-processing of the images captured in a PPVC construction site, the development of the machine learning and convolutional neural network for object recognition, and the post-processing of the recognition results. Master of Science (Computer Control and Automation) 2020-06-03T12:33:39Z 2020-06-03T12:33:39Z 2020 Thesis-Master by Coursework https://hdl.handle.net/10356/141068 en application/pdf Nanyang Technological University |
spellingShingle | Engineering::Electrical and electronic engineering::Computer hardware, software and systems Cheung, Shing Chit Development of a robot vision system for installation progress monitoring |
title | Development of a robot vision system for installation progress monitoring |
title_full | Development of a robot vision system for installation progress monitoring |
title_fullStr | Development of a robot vision system for installation progress monitoring |
title_full_unstemmed | Development of a robot vision system for installation progress monitoring |
title_short | Development of a robot vision system for installation progress monitoring |
title_sort | development of a robot vision system for installation progress monitoring |
topic | Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
url | https://hdl.handle.net/10356/141068 |
work_keys_str_mv | AT cheungshingchit developmentofarobotvisionsystemforinstallationprogressmonitoring |