Fusion Framework for 3D Inspection and Thermal NDT

Akhloufi, Moulay A.; Verney, Benjamin

doi:10.4271/2013-01-2171

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…They discussed that besides the traditional approach to use thermal and visible cameras in a complementary way, it is also possible to extract 3D information. Akhloufi and Verney [35] proposed a multi-modal platform for three-dimensional thermal NDT applications. Also, they aimed to produce an augmented visualization of non-visible defects on a 3D reconstructed surface.…”

Section: Related Work a Multi-modal Systems For Monitoring And Inspec...mentioning

confidence: 99%

Drone-Enabled Multimodal Platform for Inspection of Industrial Components

Nooralishahi

López²,

Maldague

2022

IEEE Access

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In the rise of recent advancements in unmanned aerial vehicles, many studies have focused on using multi-modal platforms for remote inspection of industrial and construction sites. The acquisition of multiple data modalities assists the inspectors in acquiring comprehensive information about the targeted components. Despite the benefits of multi-modal platforms, the calibration and fusion of the obtained data modalities present many challenges that need to be addressed. Using a calibration board with geometrically known features to estimate intrinsic and extrinsic parameters and accurately align the images in thermal and visible spectral bands, is one of the main approaches to address the problem of dissimilarity of feature appearances in different spectrums.This study presents a comprehensive platform for drone-based multimodal inspection of industrial and construction components, including three main components: 1) a sensor setup that can be used as a standalone system or a payload for a drone; 2) a multi-modal embedded system; and 3) a novel calibration board for multi-modal data fusion. The multi-modal embedded system provides the required features to record, transmit, and visualize the thermal, visible, and depth data synchronously. Additionally, the system presents a multi-modal fusion technique to form RGBD&T data containing thermal and texture information of the obtained 3D view. Moreover, this study introduces a novel self-heating calibration board that uses Thermoelectric Peltier modules to provide an identifiable and sharp pattern in thermal and visible images. The calibration board is designed with an aim also to be used as Ground Control Point (GCP) in drone surveys.INDEX TERMS Multi-modal sensory platform, unmanned aerial vehicle, calibration board, data fusion, ground control point, thermography.

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Section: Related Work a Multi-modal Systems For Monitoring And Inspec...mentioning

confidence: 99%

Drone-Enabled Multimodal Platform for Inspection of Industrial Components

Nooralishahi

López²,

Maldague

2022

IEEE Access

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“…The result is a thermal image sequence (thermogram). Image processing techniques can be applied to the thermogram in order to automatically extract the subsurface defects [24][25].…”

Section: Thermal Imaging For Ndtmentioning

confidence: 99%

“…A general version was developed and is used to detect arbitrary shapes. GHT (Generalized Hough Transform) [24,[27][28] supports object boundaries of arbitrary non-analytic shapes. Instead of using a parametric equation, GHT uses a look-up table to define the relationship between the boundary positions and orientations and the Hough space parameters.…”

Section: Features Detectionmentioning

confidence: 99%

Three-dimensional non-destructive testing (NDT) in the infrared spectrum

et al. 2015

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Three-dimensional (3D) vision scanning for metrology and inspection applications is an area that knows an increasing interest in the industry. This interest is driven by the recent advances in 3D technologies, permitting to attain high precision measurements at an affordable cost. 3D vision allows for the modelling and inspection of the visible surface of objects. When it is necessary to detect subsurface defects, active infrared (IR) thermography is one of the most used tools today for non-destructive testing (NDT) of materials. Fusion of these two modalities allows the simultaneous detection of surface and subsurface defects and to visualize these defects overlaid on a 3D model of the scanned and modelled parts or their 3D computer-aided design (CAD) models. In this work, we present a framework for automatically fusing 3D data (scanned or CAD) with the infrared thermal images for an NDT process in 3D space.

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“…Figures 1 shows the proposed framework and the architecture for the fusion of 3D and thermal infrared data for visual inspection [5]. The proposed architecture involves six steps:…”

Section: System Architecturementioning

confidence: 99%

Multimodal fusion system for NDT and Metrology

Verney¹,

Akhloufi²,

Aubreton³

2014

Proceedings of the 2014 International Conference on Quantitative InfraRed Thermography

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Abstract3D scanning and modeling is used in a wide range of applications like manufacturing, aerospace, security, biomedicine, etc. This kind of systems allows the scanning of a 3D point cloud that can be meshed and rendered in order to obtain a complete 3D model. However, 3D vision cannot detect subsurface defects. This later can be achieved using other imaging modalities, like thermal infrared imaging. This modality is very popular in non-destructive testing and visual inspection. In this work, we present a multi-modal fusion framework for combining these two modalities. We present an approach for a robotic inspection system integrating the proposed framework for 3D-NDT multimodal control and analysis.

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Fusion Framework for 3D Inspection and Thermal NDT

Cited by 4 publications

References 12 publications

Drone-Enabled Multimodal Platform for Inspection of Industrial Components

Drone-Enabled Multimodal Platform for Inspection of Industrial Components

Three-dimensional non-destructive testing (NDT) in the infrared spectrum

Multimodal fusion system for NDT and Metrology

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