Defect Mapping Based Registration of Low Texture Images for Surface Inspection Systems

2022 ◽  
Author(s):  
Vasanth Subramanyam ◽  
Jayendra Kumar ◽  
Shiva Nand Singh
Keyword(s):  
Surface Inspection ◽  
Inspection Systems

On improving performance of surface inspection systems by online active learning and flexible classifier updates

2015 ◽  
Vol 27 (1) ◽  
pp. 103-127 ◽  
Author(s):  
Eva Weigl ◽  
Wolfgang Heidl ◽  
Edwin Lughofer ◽  
Thomas Radauer ◽  
Christian Eitzinger
Keyword(s):  
Active Learning ◽  
Surface Inspection ◽  
Inspection Systems

scholarly journals Impact of object extraction methods on classification performance in surface inspection systems

2009 ◽  
Vol 21 (5) ◽  
pp. 627-641 ◽  
Author(s):  
Stefan Raiser ◽  
Edwin Lughofer ◽  
Christian Eitzinger ◽  
James Edward Smith
Keyword(s):  
Extraction Methods ◽  
Classification Performance ◽  
Object Extraction ◽  
Surface Inspection ◽  
Inspection Systems

scholarly journals Calibration of wafer surface inspection systems using spherical silica nanoparticles

2008 ◽  
Vol 16 (7) ◽  
pp. 4698 ◽  
Author(s):  
Thomas A. Germer ◽  
Christian Wolters ◽  
Don Brayton
Keyword(s):  
Silica Nanoparticles ◽  
Wafer Surface ◽  
Surface Inspection ◽  
Spherical Silica ◽  
Inspection Systems

Simulation of microscopic metal surfaces based on measured microgeometry

2017 ◽  
Vol 84 (7-8) ◽  
Author(s):  
Haiyue Yang ◽  
Tobias Haist ◽  
Marc Gronle ◽  
Wolfgang Osten
Keyword(s):  
Ray Tracing ◽  
Metal Surfaces ◽  
Surface Defects ◽  
Training Data ◽  
Surface Inspection ◽  
Approximation Methods ◽  
Optical Surface ◽  
Scalar Diffraction ◽  
Training Samples ◽  
Inspection Systems

AbstractLack of training data is one of the main problems when realizing optical surface inspection systems. In the best case, provision of enough representative training samples is difficult and most of the time expensive. In some cases, it is not possible at all. Here we present an alternative method where the surface defects are simulated. Thereby, we focus on metal surfaces in the microscale where diffraction phenomena start to play a major role. Ray tracing and scalar diffraction approximation methods are applied and compared.

Software tool for developing algorithms for surface inspection systems

1994 ◽  
Author(s):  
Ari K. Harkonen ◽  
Risto S. Mitikka ◽  
Ilkka Moring
Keyword(s):  
Software Tool ◽  
Surface Inspection ◽  
Inspection Systems

scholarly journals Feature-Driven Viewpoint Placement for Model-Based Surface Inspection

2020 ◽  
Vol 32 (1) ◽  
Author(s):  
Dennis Mosbach ◽  
Petra Gospodnetić ◽  
Markus Rauhut ◽  
Bernd Hamann ◽  
Hans Hagen
Keyword(s):  
Low Complexity ◽  
Geometric Feature ◽  
Surface Model ◽  
Surface Inspection ◽  
Triangle Mesh ◽  
Inspection Planning ◽  
Surface Sampling ◽  
3D Surface ◽  
Solid Objects ◽  
Inspection Systems

Abstract The goal of visual surface inspection is to analyze an object’s surface and detect defects by looking at it from different angles. Developments over the past years have made it possible to partially automate this process. Inspection systems use robots to move cameras and obtain pictures that are evaluated by image processing algorithms. Setting up these systems or adapting them to new models is primarily done manually. A key challenge is to define camera viewpoints from which the images are taken. The number of viewpoints should be as low as possible while still guaranteeing an inspection of the desired quality. System engineers define and evaluate configurations that are improved based on a time-consuming trial-and-error process leading to a sufficient, but not necessarily optimal, configuration. With the availability of 3D surface models defined by triangular meshes, this step can be done virtually. This paper presents a new scalable approach to determine a small number of well-placed camera viewpoints for optical surface inspection planning. The initial model is approximated by B-spline surfaces. A set of geometric feature functionals is defined and used for an adaptive, non-uniform surface sampling that is sparse in geometrically low-complexity areas and dense in regions of higher complexity. The presented approach is applicable to solid objects with a given 3D surface model. It makes camera viewpoint generation independent of the resolution of the triangle mesh, and it improves previous results considering number of viewpoints and their relevance.

scholarly journals Automatic Surface Inspection Systems for Cold Strip

1993 ◽  
Vol 79 (7) ◽  
pp. 833-840
Author(s):  
Hitoshi AIZAWA ◽  
Yoshimi FUKUTAKA ◽  
Yasuhiko MASHINO ◽  
Hidekazu MIYAKE
Keyword(s):  
Surface Inspection ◽  
Inspection Systems

scholarly journals Surface Inspection Planning Using 3D Visualization

2020 ◽  
Author(s):  
Petra Gospodnetic ◽  
Markus Rauhut ◽  
Hans Hagen
Keyword(s):  
State Of The Art ◽  
3D Visualization ◽  
Surface Inspection ◽  
Visualization Tool ◽  
Trial And Error ◽  
Inspection Planning ◽  
Inspection Systems ◽  
Planning Algorithms ◽  
Interactive 3D

State of the art surface inspection planning requires an expert approach with a lot of trial and error. Because of the lack of available aiding tools, an engineer building inspection systems must rely heavily on his or her experience. In this work we proposed an interactive 3D visualization tool to help an engineer determine good viewpoints. It can be used both as a standalone tool for manual viewpoint placement or as an interface to the inspection planning algorithms giving the engineer a possibility to evaluate and modify automatically generated plans.

Automatic configuration of surface inspection systems

1997 ◽  
Author(s):  
Christian Kueblbeck ◽  
Thomas Wagner
Keyword(s):  
Surface Inspection ◽  
Inspection Systems

scholarly journals Surface Defect System for Long Product Manufacturing Using Differential Topographic Images

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2142
Author(s):  
F.J. delaCalle Herrero ◽  
Daniel F. García ◽  
Rubén Usamentiaga
Keyword(s):  
Defect Detection ◽  
Surface Defect ◽  
International Standards ◽  
Surface Inspection ◽  
High Speeds ◽  
Surface Defect Detection ◽  
Inspection Systems ◽  
Product Manufacturing ◽  
Novel Method ◽  
Very High

Current industrial products must meet quality requirements defined by international standards. Most commercial surface inspection systems give qualitative detections after a long, cumbersome and very expensive configuration process made by the seller company. In this paper, a new surface defect detection method is proposed based on 3D laser reconstruction. The method compares the long products, scan by scan, with their desired shape and produces differential topographic images of the surface at very high speeds. This work proposes a novel method where the values of the pixels in the images have a direct translation to real-world dimensions, which enables a detection based on the tolerances defined by international standards. These images are processed using computer vision techniques to detect defects and filter erroneous detections using both statistical distributions and a multilayer perceptron. Moreover, a systematic configuration procedure is proposed that is repeatable and can be performed by the manufacturer. The method has been tested using train track rails, which reports better results than two photometric systems including one commercial system, in both defect detection and erroneous detection rate. The method has been validated using a surface inspection rail pattern showing excellent performance.

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