Abstract
This paper presents a method of acquisition and analysis of three-dimensional images in the task of automatic location and evaluation of defects on the surface of ceramic tiles. It presents a brief description of selected defects appearing on the surface of tiles, along with the analysis of their formation. The paper includes the presentation of the method of constructing a 3D image of the tile surface using the Laser Triangulation Method (LTM), along with the surface imaging parameters employed in the research. The algorithms of three-dimensional surface image analysis of ceramic tiles used in the process of image filtering and defect identification are presented. For selected defects, the method of measuring defect parameters and the method of visualization of defects on the surface are also presented. The developed method was tested on defective products to confirm its effectiveness in the field of quick defect detection in automated control systems installed on production lines.
Highlights
IntroductionThe increase in the capacity of production lines producing ceramic tiles imposes the introduction of innovative solutions in the field of fault diagnosis and detection systems on product surfaces
The increase in the capacity of production lines producing ceramic tiles imposes the introduction of innovative solutions in the field of fault diagnosis and detection systems on product surfaces.In many manufacturing enterprises, the quality inspection of ceramic tiles is carried out by a person supported by sensor or vision systems
This paper presents the method of acquisition and analysis of 3D images in the inspection tasks of selected parameters of a ceramic tile
Summary
The increase in the capacity of production lines producing ceramic tiles imposes the introduction of innovative solutions in the field of fault diagnosis and detection systems on product surfaces. The quality inspection of ceramic tiles is carried out by a person supported by sensor or vision systems. Firat et al presented the study of the description of employee fatigue and the possibility of errors made by them in the implementation of visual assessment of the product related to work time or type of product [1]
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