Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141068
Title: Development of a robot vision system for installation progress monitoring
Authors: Cheung, Shing Chit
Keywords: Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2020
Publisher: Nanyang Technological University
Abstract: 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.
URI: https://hdl.handle.net/10356/141068
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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