Structural damage recognition and residual capacity prediction using computer vision for reinforced concrete members

Structural damage recognition and residual capacity prediction using computer vision for reinforced concrete members

This study presents the results of relating images of superficial crack patterns of shear critical reinforced concrete walls to its damage levels using computer vision technology. The focus of this study is to determine the extent to which computer vision techniques can successfully relate surface...

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Bibliographic Details
Main Author: Muhammad Idris Alias
Other Authors: Li Bing
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Engineering::Civil engineering::Construction technology
Online Access:https://hdl.handle.net/10356/157528

Internet

https://hdl.handle.net/10356/157528

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