The Quality Control System of Planks Using Machine Vision

This article presents a vision method of identifying and measuring wood surface parameters to detect defects resulting from errors occurring during machining. The paper presents the method of recording a three–dimensional image of the wood surface using the laser triangulation method. It discusses p...

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Main Authors: Mariusz Cinal, Andrzej Sioma, Bartosz Lenty
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/16/9187
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author Mariusz Cinal
Andrzej Sioma
Bartosz Lenty
author_facet Mariusz Cinal
Andrzej Sioma
Bartosz Lenty
author_sort Mariusz Cinal
collection DOAJ
description This article presents a vision method of identifying and measuring wood surface parameters to detect defects resulting from errors occurring during machining. The paper presents the method of recording a three–dimensional image of the wood surface using the laser triangulation method. It discusses parameters related to imaging resolution and the impact of vision system configuration parameters on the measurement resolution and image acquisition time. For the recorded image, proposed algorithms detect defects like wade and bark at the board edges. Algorithms for measuring characteristic parameters describing the surface of the wood are presented. Validation tests performed using the prepared system in industrial conditions are provided and discussed. The proposed solution makes it possible to detect board defects in flow mode on belt conveyors operating at a speed of up to 1000 mm/s.
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spelling doaj.art-eeca3702406b42719b825b49020973652023-11-19T00:05:45ZengMDPI AGApplied Sciences2076-34172023-08-011316918710.3390/app13169187The Quality Control System of Planks Using Machine VisionMariusz Cinal0Andrzej Sioma1Bartosz Lenty2C.M.C. Sp. z o.o., ul. Przemysłowa 54, 34-120 Andrychow, PolandFaculty of Mechanical Engineering and Robotics, AGH University of Krakow, al. Mickiewicza 30, 30-059 Cracow, PolandFaculty of Mechanical Engineering and Robotics, AGH University of Krakow, al. Mickiewicza 30, 30-059 Cracow, PolandThis article presents a vision method of identifying and measuring wood surface parameters to detect defects resulting from errors occurring during machining. The paper presents the method of recording a three–dimensional image of the wood surface using the laser triangulation method. It discusses parameters related to imaging resolution and the impact of vision system configuration parameters on the measurement resolution and image acquisition time. For the recorded image, proposed algorithms detect defects like wade and bark at the board edges. Algorithms for measuring characteristic parameters describing the surface of the wood are presented. Validation tests performed using the prepared system in industrial conditions are provided and discussed. The proposed solution makes it possible to detect board defects in flow mode on belt conveyors operating at a speed of up to 1000 mm/s.https://www.mdpi.com/2076-3417/13/16/9187wood defectsbarklaser triangulation method3D image resolutionindustrialquality control
spellingShingle Mariusz Cinal
Andrzej Sioma
Bartosz Lenty
The Quality Control System of Planks Using Machine Vision
Applied Sciences
wood defects
bark
laser triangulation method
3D image resolution
industrial
quality control
title The Quality Control System of Planks Using Machine Vision
title_full The Quality Control System of Planks Using Machine Vision
title_fullStr The Quality Control System of Planks Using Machine Vision
title_full_unstemmed The Quality Control System of Planks Using Machine Vision
title_short The Quality Control System of Planks Using Machine Vision
title_sort quality control system of planks using machine vision
topic wood defects
bark
laser triangulation method
3D image resolution
industrial
quality control
url https://www.mdpi.com/2076-3417/13/16/9187
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