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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Format: | Article |
Language: | English |
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MDPI AG
2023-08-01
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Series: | Applied Sciences |
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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. |
first_indexed | 2024-03-11T00:10:04Z |
format | Article |
id | doaj.art-eeca3702406b42719b825b4902097365 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-11T00:10:04Z |
publishDate | 2023-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
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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