Automated subsurface defects' detection using point cloud reconstruction from infrared images

Non-destructive evaluation (NDE) has become a reliable inspection tool to detect structural flaws in many engineering domains. Similarly, advancements in computer-vision made it possible to assess structural conditions from a set of digital images. This research introduces a novel inspection techniq...

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Bibliographic Details
Published in:Automation in construction 2021-09, Vol.129, p.103829, Article 103829
Main Authors: Puliti, Marco, Montaggioli, Giovanni, Sabato, Alessandro
Format: Article
Language:English
Subjects:
Algorithms
Automatic detection
Automation
Damage detection
Defects
Digital imaging
Energy dissipation
Energy efficiency
Flaw detection
Heat loss
Image reconstruction
Infrared imagery
Infrared imaging
Infrared thermography
Inspection
Non-destructive evaluation
Nondestructive testing
Photogrammetry
Structure from motion
Unmanned aerial vehicles
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Summary:Non-destructive evaluation (NDE) has become a reliable inspection tool to detect structural flaws in many engineering domains. Similarly, advancements in computer-vision made it possible to assess structural conditions from a set of digital images. This research introduces a novel inspection technique for detecting subsurface defects that cause heat loss. A combination of Structure from Motion (SfM) algorithms and infrared (IR) imaging has been developed for quantifying the severity of subsurface damages inducing energy loss on a scaled building structure. Furthermore, an automated detection algorithm is proposed to segment the contours of the damages. Results of experiments performed using different IR cameras prove that this approach can identify subsurface defects and quantify their dimensions with an error below 5% when compared to the actual size of the damages. The proposed approach can also be easily integrated with unmanned aerial vehicles for remote inspection and damage detection on large-scale systems. •Novel methodology combining infrared thermography and Structure from Motion for energy audit.•Direct use of infrared images to reconstruct 3D point clouds of the structure being tested.•Algorithm for automated detection of subsurface defects.•Quantitative and qualitative assessment of structural conditions.
ISSN:0926-5805
1872-7891
DOI:10.1016/j.autcon.2021.103829