Computer vision‐based automated defect detection in ceramic bricks.
Nowadays, the development of cost‐effective, data‐driven technological processes using telecommunication technologies is essential. One of the focuses is on automating the process of evaluating the manufactured goods' quality. Vision‐based technology is now becoming increasingly used for monitoring...
| Publicado en: | Systems Research & Behavioral Science Vol. 42; no. 4; pp. 1131 - 1142 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Jul/Aug2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=187948684&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 187948684 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10927026 2SN jtl: Systems Research & Behavioral Science issn: 10927026 maglogo: Y pubinfo: dt: Jul/Aug2025 vid: 42 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 187948684 10.1002/sres.3040 ppf: 1131 ppct: 11 formats: tig: atl: Computer vision‐based automated defect detection in ceramic bricks. aug: au: Kataev, M. Y. Bulysheva, L. A. affil: Department of Control Systems, Tomsk State University of Control Systems and Electronics, Tomsk, Russia Department of Information Technology and Decision Science, Old Dominion University, Norfolk Virginia,, USA su: Cost benefit analysis Information science Telecommunication Materials testing Computer software Mathematics Computer-assisted image analysis (Medicine) Quality control Descriptive statistics Artificial neural networks Digital image processing Automation Construction industry Algorithms sug: subj: Cost benefit analysis Information science Telecommunication Computer and Computer Peripheral Equipment and Software Merchant Wholesalers Computer and software stores Software publishers (except video game publishers) Computer, computer peripheral and pre-packaged software merchant wholesalers Residential building construction Other telecommunications Communication Equipment Repair and Maintenance Telecommunications Resellers All Other Telecommunications Materials testing Computer software Mathematics Computer-assisted image analysis (Medicine) Quality control Descriptive statistics Artificial neural networks Digital image processing Automation Construction industry Algorithms keyword: brick defects computer vision image analysis quality control brick defects computer vision image analysis quality control ab: Nowadays, the development of cost‐effective, data‐driven technological processes using telecommunication technologies is essential. One of the focuses is on automating the process of evaluating the manufactured goods' quality. Vision‐based technology is now becoming increasingly used for monitoring purposes. Despite its advancements, computer vision technology has practical limitations. These include the physical characteristics of the measuring process, features specific to the technological procedures, and constraints related to software and mathematical algorithms. Among the cutting‐edge approaches, optical methods combined with neural network algorithms (NN) stand out. This significance is particularly evident because numerous industries continue to depend on manual defect identification methods, which are labour intensive, slow, and subject to human subjectivity. The article introduces a novel approach based on computer vision methods. It outlines an automated optical inspection system designed to detect defects in bricks on a transport belt during the production process. The article presents the processing algorithms used and discusses the results obtained. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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