Development of a robot vision system for construction automation

In construction projects, it is a crucial industry-wide practice to perform routine inspections on works to ensure that the buildings are delivered according to the projected timeline as well as the necessary standards of quality to be met. Inspection processes are laborious, time-consuming, and...

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Bibliographic Details
Main Author: Ng, Elizabeth Woon Ting
Other Authors: Cheah Chien Chern
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157897
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author Ng, Elizabeth Woon Ting
author2 Cheah Chien Chern
author_facet Cheah Chien Chern
Ng, Elizabeth Woon Ting
author_sort Ng, Elizabeth Woon Ting
collection NTU
description In construction projects, it is a crucial industry-wide practice to perform routine inspections on works to ensure that the buildings are delivered according to the projected timeline as well as the necessary standards of quality to be met. Inspection processes are laborious, time-consuming, and prone to human error or inconsistency. With recent developments in technology such as Artificial Intelligence and Building Information Models (BIM), and construction automation solutions can be implemented and integrated with data from BIM. In this paper, an Aerial Robot Vision System for inspection of indoor building installations such as architectural and electrical fixtures is implemented using a DJI Tello Aircraft to maneuver within a construction building for the collection of visual data. A YOLOv5 Detector performs detections of the component installations, which are then used for analysis based on infrastructure data extracted from BIM.
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spelling ntu-10356/1578972023-07-07T19:08:52Z Development of a robot vision system for construction automation Ng, Elizabeth Woon Ting Cheah Chien Chern School of Electrical and Electronic Engineering ECCCheah@ntu.edu.sg Engineering::Electrical and electronic engineering In construction projects, it is a crucial industry-wide practice to perform routine inspections on works to ensure that the buildings are delivered according to the projected timeline as well as the necessary standards of quality to be met. Inspection processes are laborious, time-consuming, and prone to human error or inconsistency. With recent developments in technology such as Artificial Intelligence and Building Information Models (BIM), and construction automation solutions can be implemented and integrated with data from BIM. In this paper, an Aerial Robot Vision System for inspection of indoor building installations such as architectural and electrical fixtures is implemented using a DJI Tello Aircraft to maneuver within a construction building for the collection of visual data. A YOLOv5 Detector performs detections of the component installations, which are then used for analysis based on infrastructure data extracted from BIM. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-26T05:08:10Z 2022-05-26T05:08:10Z 2022 Final Year Project (FYP) Ng, E. W. T. (2022). Development of a robot vision system for construction automation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157897 https://hdl.handle.net/10356/157897 en A1025-211 application/pdf Nanyang Technological University
spellingShingle Engineering::Electrical and electronic engineering
Ng, Elizabeth Woon Ting
Development of a robot vision system for construction automation
title Development of a robot vision system for construction automation
title_full Development of a robot vision system for construction automation
title_fullStr Development of a robot vision system for construction automation
title_full_unstemmed Development of a robot vision system for construction automation
title_short Development of a robot vision system for construction automation
title_sort development of a robot vision system for construction automation
topic Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/157897
work_keys_str_mv AT ngelizabethwoonting developmentofarobotvisionsystemforconstructionautomation