Interferometry for Online/In-Process Surface Inspection

Gao, Feng

doi:10.5772/66530

Cited by 5 publications

(5 citation statements)

References 27 publications

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“…For a benchmark evaluation many of the passive stereo matching algorithms refer to a common evaluation dataset, e.g. KITTI 4 . At date the method with best performance is "LEAstereo", achieving a 1.65% of outliers 5 over the all ground truth pixels of the test set of the 2015 KITTI dataset.…”

Section: Pros and Consmentioning

confidence: 99%

“…Despite its pertinence to detect delamination, ultrasound scanning is not discussed here because it generally requires contact. As this review aims to address in situ aircraft inspection, methods that require highly controlled environment or complex optical structures [4] are omitted. Sec.…”

Section: Introductionmentioning

confidence: 99%

“…Note that also human eyes are deceived into perceiving the depth in front of a completely white wall 4. http://www.cvlibs.net/datasets/kitti/ 5 With a certain tolerance.…”

mentioning

confidence: 99%

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Review of non-contact methods for automated aircraft inspections

Lafiosca¹,

Fan²

2020

insight

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Damage on the aircraft structure can be caused by lightning strikes, hail, accidental impacts or ageing. Scratches or dents on the aircraft surface are typical indications of impact damage. General visual inspection (GVI) is the primary way in which to detect such forms of damage. The inspection process is time consuming, raises safety concerns for the inspector and is subject to variations due to human factors. Significant inspection automation remains challenging, mainly because GVI requires the critical human ability to assess anomalies. Also, damage specifications in maintenance manuals are influenced by human interpretation. Some automated tools are beginning to be available for aircraft inspection checks. However, none of them are capable of replacing the inspector judgement yet. Humans still need to manually assess the location or the data generated by the tools. Their performance is also affected by different environmental conditions, materials and the overall characteristics of the damage. This review presents the main methods for non-contact visual aircraft inspection, explaining their basic working principles and limitations. Their suitability for automation in aircraft inspection is also discussed.

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Section: Pros and Consmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Review of non-contact methods for automated aircraft inspections

Lafiosca¹,

Fan²

2020

insight

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“…However, the process is often susceptible to errors due to vibration, temperature, or air flow, and this often rules it out for a number of applications, such as larger floor areas. Gao et al [7] investigated two methods to minimize the errors due to vibration when using interferometry as a method to map the surface of a shop floor. 3D Terrestrial Laser Scanners have been able to provide high density point cloud surfaces, such as pavement and asphalt, that can then be processed into useful information [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Robot-Assisted Floor Surface Profiling Using Low-Cost Sensors

2019

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Low cost and accurate 3D surface profiling can help in numerous industry applications including inspection tasks, cleaning, minimizing bumps in navigation of non-uniform terrain, aid navigation, and road/pavement condition analysis. However, most of the available systems are costly or inaccessible for widespread use. This research presents investigation into the capability of cheap and accessible sensors to capture the floor surface profile information. A differential drive robotic platform has been developed to perform testing and conduct the research. 2D localization methods are extrapolated into 3D for the floor capturing process. Two different types of sensors, a 2D laser scanner and an RGB-D camera, are used for comparison of the floor profile capture ability. The robotic system is able to successfully capture the floor surface profile of a number of different type floors such as carpet, asphalt, and a coated floor. A key finding is that the surface itself is a significant factor on the measured profile, i.e. dirt or differing materials can cause false height measurements. Overall the methodology has proved a successful real time solution for creating a point cloud of the floor surface.

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“…It is non-trivial to achieve large-area, high-resolution 3D inspection at machine-vision throughputs due to the high dynamic range (HDR) challenge [4]. State-of-the-art implementation of 3D techniques may account for perhaps two of the four to five orders-of-magnitude throughput increase required (see figure 2); wavelength scanning interferometry and dispersive interferometry are promising examples [9,10]. The remaining increase must be solved by using smarter measurement strategies exploiting a priori information about the inspection process to only measure where and when it is needed.…”

Section: Introductionmentioning

confidence: 99%

A hybrid 2D/3D inspection concept with smart routing optimisation for high throughput, high dynamic range and traceable critical dimension metrology

Jones

O’Connor

2018

Meas. Sci. Technol.

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Dimensional surface metrology is required to enable advanced manufacturing process control for products such as large-area electronics, microfluidic structures, and light management films, where performance is determined by micrometre-scale geometry or roughness formed over metre-scale substrates. While able to perform 100% inspection at a low cost, commonly used 2D machine vision systems are insufficient to assess all of the functionally relevant critical dimensions in such 3D products on their own. While current high-resolution 3D metrology systems are able to assess these critical dimensions, they have a relatively small field of view and are thus much too slow to keep up with full production speeds. A hybrid 2D/3D inspection concept is demonstrated, combining a small field of view, high-performance 3D topography-measuring instrument with a large field of view, high-throughput 2D machine vision system. In this concept, the location of critical dimensions and defects are first registered using the 2D system, then smart routing algorithms and high dynamic range (HDR) measurement strategies are used to efficiently acquire local topography using the 3D sensor. A motion control platform with a traceable position referencing system is used to recreate various sheet-to-sheet and roll-to-roll inline metrology scenarios. We present the artefacts and procedures used to calibrate this hybrid sensor system for traceable dimensional measurement, as well as exemplar measurement of optically challenging industrial test structures.

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Interferometry for Online/In-Process Surface Inspection

Cited by 5 publications

References 27 publications

Review of non-contact methods for automated aircraft inspections

Review of non-contact methods for automated aircraft inspections

Robot-Assisted Floor Surface Profiling Using Low-Cost Sensors

A hybrid 2D/3D inspection concept with smart routing optimisation for high throughput, high dynamic range and traceable critical dimension metrology

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