Observable Trends In Commercially Available Automated Optical Inspection Systems

1986 ◽  
Author(s):  
Don W. Braggins
Keyword(s):  
Optical Inspection ◽  
Automated Optical Inspection ◽  
Inspection Systems

scholarly journals Optical Material Characterisation of Prepreg CFRP for Improved Composite Inspection

2021 ◽  
Author(s):  
Sebastian Meister ◽  
Jan Stüve ◽  
Roger M. Groves
Keyword(s):  
Fibre Composite ◽  
Great Influence ◽  
Image Data ◽  
Reinforced Plastics ◽  
Optical Inspection ◽  
Data Quality Assessment ◽  
Automated Optical Inspection ◽  
Inspection Systems ◽  
Recorded Data ◽  
Complex Structural

AbstractAutomated fibre layup techniques are often applied for the production of complex structural components. In order to ensure a sufficient component quality, a subsequent visual inspection is necessary, especially in the aerospace industry. The use of automated optical inspection systems can reduce the inspection effort by up to 50 %. Laser line scan sensors, which capture the topology of the surface, are particularly advantageous for this purpose. These sensors project a laser beam at an angle onto the surface and detect its position via a camera. The optical properties of the observed surface potentially have a great influence on the quality of the recorded data. This is especially relevant for dark or highly scattering materials such as Carbon Fiber Reinforced Plastics (CFRP). For this reason, in this study we investigate the optical reflection and transmission properties of the commonly used Hexel HexPly 8552 IM7 prepreg CFRP in detail. Therefore, we utilise a Gonioreflectometer to investigate such optical characteristics of the material with respect to different fibre orientations, illumination directions and detection angles. In this way, specific scattering information of the material in the hemispherical space are recorded. The major novelty of this research are the findings about the scattering behaviour of the fibre composite material which can be used as a more precise input for the methods of image data quality assessment from our previous research and thus is particularly valuable for developers and users of camera based inspection systems for CFRP components.

scholarly journals Optical Inspection Systems for Axisymmetric Parts with Spatial 2D Resolution

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1218
Author(s):  
Aleksandr Kulchitskiy
Keyword(s):  
Control System ◽  
Optical System ◽  
Measurement Accuracy ◽  
Experimental Studies ◽  
Digital Camera ◽  
Digital Cameras ◽  
Bodies Of Revolution ◽  
Optical Inspection ◽  
Inspection Systems ◽  
Projection Error

The article proposes a solution to the problem of increasing the accuracy of determining the main shaping dimensions of axisymmetric parts through a control system that implements the optical method of spatial resolution. The influence of the projection error of a passive optical system for controlling the geometric parameters of bodies of revolution from the image of its sections, obtained by a digital camera with non-telecentric optics, on the measurement accuracy is shown. Analytical dependencies are derived that describe the features of the transmission of measuring information of a system with non-telecentric optics in order to estimate the projection error. On the basis of the obtained dependences, a method for compensating the projection error of the systems for controlling the geometry of the main shaping surfaces of bodies of revolution has been developed, which makes it possible to increase the accuracy of determining dimensions when using digital cameras with a resolution of 5 megapixels or more, equipped with short-focus lenses. The possibility of implementing the proposed technique is confirmed by the results of experimental studies.

scholarly journals Ceramic Cracks Segmentation with Deep Learning

2021 ◽  
Vol 11 (13) ◽  
pp. 6017
Author(s):  
Gerivan Santos Junior ◽  
Janderson Ferreira ◽  
Cristian Millán-Arias ◽  
Ramiro Daniel ◽  
Alberto Casado Junior ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ceramic Plate ◽  
Ceramic Tiles ◽  
Entire Area ◽  
Manual Inspection ◽  
Optical Inspection ◽  
Proposed Model ◽  
Processing Step ◽  
Long Time ◽  
Automated Optical Inspection

Cracks are pathologies whose appearance in ceramic tiles can cause various damages due to the coating system losing water tightness and impermeability functions. Besides, the detachment of a ceramic plate, exposing the building structure, can still reach people who move around the building. Manual inspection is the most common method for addressing this problem. However, it depends on the knowledge and experience of those who perform the analysis and demands a long time and a high cost to map the entire area. This work focuses on automated optical inspection to find faults in ceramic tiles performing the segmentation of cracks in ceramic images using deep learning to segment these defects. We propose an architecture for segmenting cracks in facades with Deep Learning that includes an image pre-processing step. We also propose the Ceramic Crack Database, a set of images to segment defects in ceramic tiles. The proposed model can adequately identify the crack even when it is close to or within the grout.

Multiscale measurement of air foils with data fusion of three optical inspection systems

2017 ◽  
Vol 17 ◽  
pp. 32-41 ◽  
Author(s):  
Jochen Schlobohm ◽  
Yinan Li ◽  
Andreas Pösch ◽  
Markus Kästner ◽  
Eduard Reithmeier
Keyword(s):  
Data Fusion ◽  
Optical Inspection ◽  
Inspection Systems

Synthesizing images using parameterized models for automated optical inspection (AOI)

2015 ◽  
Vol 82 (5) ◽  
Author(s):  
Max-Gerd Retzlaff ◽  
Josua Stabenow ◽  
Jürgen Beyerer ◽  
Carsten Dachsbacher
Keyword(s):  
Physical Simulation ◽  
Rigid Bodies ◽  
Systematic Evaluation ◽  
Virtual Objects ◽  
Optical Inspection ◽  
Physically Based ◽  
Automated Optical Inspection ◽  
Real Objects ◽  
Physically Based Rendering ◽  
Test Objects

AbstractWhen designing or improving systems for automated optical inspection (AOI), systematic evaluation is an important but costly necessity to achieve and ensure high quality. Computer graphics methods can be used to quickly create large virtual sets of samples of test objects and to simulate image acquisition setups. We use procedural modeling techniques to generate virtual objects with varying appearance and properties, mimicking real objects and sample sets. Physical simulation of rigid bodies is deployed to simulate the placement of virtual objects, and using physically-based rendering techniques we create synthetic images. These are used as input to an AOI system instead of physically acquired images. This enables the development, optimization, and evaluation of the image processing and classification steps of an AOI system independently of a physical realization. We demonstrate this approach for shards of glass, as sorting glass is one challenging practical application for AOI.

scholarly journals Accuracy Analysis of Alignment Methods based on Reference Features for Robot-Based Optical Inspection Systems

Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 1115-1120
Author(s):  
Philipp Bauer ◽  
Fuyuan Li ◽  
Alejandro Magaña Flores ◽  
Gunther Reinhart
Keyword(s):  
Accuracy Analysis ◽  
Optical Inspection ◽  
Inspection Systems
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