Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case

In the production process of cross-cutting boards, real-time measurement of dimensions online has been a long-standing technical problem in the production field. Currently, the detection of board dimensions in the production field relies on manual observation based on workers’ operational experience...

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Main Authors: Shitao Ge, Wei Zhang, Licheng Han, Yan Peng, Jianliang Sun
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
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Online Access:https://www.mdpi.com/2076-3417/15/10/5752
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author Shitao Ge
Wei Zhang
Licheng Han
Yan Peng
Jianliang Sun
author_facet Shitao Ge
Wei Zhang
Licheng Han
Yan Peng
Jianliang Sun
author_sort Shitao Ge
collection DOAJ
description In the production process of cross-cutting boards, real-time measurement of dimensions online has been a long-standing technical problem in the production field. Currently, the detection of board dimensions in the production field relies on manual observation based on workers’ operational experience or stopping the machine for measurement. This paper proposes a machine vision-based real-time online measurement system for dimensional measurements of cross-cutting units. A certain angle measurement model is established by using a face-array industrial camera, and a more accurate edge contour extraction is realized by deep learning. A novel edge intersection extraction algorithm based on line fitting and least squares method was proposed to accurately measure the length, width, diagonal lines of cross-cutting boards using four intersection coordinates. The measurement of 100 cross-cutting boards in the industrial production site shows that the proposed online measurement system for cross-cut board dimensions in this article has high accuracy, with a length perception error of ±50 mm, width of ±2 mm, and diagonal difference of ±5 mm, meeting the production requirements in industrial settings. The on-site shutdown measurement work was reduced, thereby doubling the production efficiency and saving two staff members.
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spelling doaj-art-20f5d8604639482c8441853881ebc3a92025-08-20T03:14:40ZengMDPI AGApplied Sciences2076-34172025-05-011510575210.3390/app15105752Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process CaseShitao Ge0Wei Zhang1Licheng Han2Yan Peng3Jianliang Sun4National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004, ChinaNational Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004, ChinaNational Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004, ChinaNational Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004, ChinaNational Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004, ChinaIn the production process of cross-cutting boards, real-time measurement of dimensions online has been a long-standing technical problem in the production field. Currently, the detection of board dimensions in the production field relies on manual observation based on workers’ operational experience or stopping the machine for measurement. This paper proposes a machine vision-based real-time online measurement system for dimensional measurements of cross-cutting units. A certain angle measurement model is established by using a face-array industrial camera, and a more accurate edge contour extraction is realized by deep learning. A novel edge intersection extraction algorithm based on line fitting and least squares method was proposed to accurately measure the length, width, diagonal lines of cross-cutting boards using four intersection coordinates. The measurement of 100 cross-cutting boards in the industrial production site shows that the proposed online measurement system for cross-cut board dimensions in this article has high accuracy, with a length perception error of ±50 mm, width of ±2 mm, and diagonal difference of ±5 mm, meeting the production requirements in industrial settings. The on-site shutdown measurement work was reduced, thereby doubling the production efficiency and saving two staff members.https://www.mdpi.com/2076-3417/15/10/5752cross-cutting boardmachine visionseries-connected filterline fittingleast squares methodreal-time online detection
spellingShingle Shitao Ge
Wei Zhang
Licheng Han
Yan Peng
Jianliang Sun
Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case
Applied Sciences
cross-cutting board
machine vision
series-connected filter
line fitting
least squares method
real-time online detection
title Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case
title_full Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case
title_fullStr Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case
title_full_unstemmed Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case
title_short Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case
title_sort development of an in line vision based measurement system for shape and size calculation of cross cutting boards straightening process case
topic cross-cutting board
machine vision
series-connected filter
line fitting
least squares method
real-time online detection
url https://www.mdpi.com/2076-3417/15/10/5752
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AT weizhang developmentofaninlinevisionbasedmeasurementsystemforshapeandsizecalculationofcrosscuttingboardsstraighteningprocesscase
AT lichenghan developmentofaninlinevisionbasedmeasurementsystemforshapeandsizecalculationofcrosscuttingboardsstraighteningprocesscase
AT yanpeng developmentofaninlinevisionbasedmeasurementsystemforshapeandsizecalculationofcrosscuttingboardsstraighteningprocesscase
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