FEATURES OF THE IMPLEMENTATION OF COMPUTER VISION IN THE PROBLEMS OF AUTOMATED PRODUCT QUALITY CONTROL
The article analyzes the fields of application of machine vision. Special attention is focused on the application of Machine Vision in intelligent technological systems for product quality control. An important aspect is a quick and effective analysis of product quality directly at the stage of the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Lublin University of Technology
2023-03-01
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| Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/3434 |
| _version_ | 1797855268481007616 |
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| author | Nataliia Stelmakh Ihor Mastenko Olga Sulima Tetiana Rudyk |
| author_facet | Nataliia Stelmakh Ihor Mastenko Olga Sulima Tetiana Rudyk |
| author_sort | Nataliia Stelmakh |
| collection | DOAJ |
| description |
The article analyzes the fields of application of machine vision. Special attention is focused on the application of Machine Vision in intelligent technological systems for product quality control. An important aspect is a quick and effective analysis of product quality directly at the stage of the technological process with high accuracy in determining product defects. The appropriateness and perspective of using the mathematical apparatus of artificial neural networks for the development of an intelligent technological system for monitoring the geometric state of products have been demonstrated. The purpose of this study is focused on the identification and classification of reed tuber quality parameters. For this purpose, new methods of identification and classification of quality control of various types of defects using computer vision and machine learning algorithms were proposed.
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| first_indexed | 2024-04-09T20:20:58Z |
| format | Article |
| id | doaj.art-7e071f42178b41feb45ae9c5d2e95401 |
| institution | Directory Open Access Journal |
| issn | 2083-0157 2391-6761 |
| language | English |
| last_indexed | 2024-04-09T20:20:58Z |
| publishDate | 2023-03-01 |
| publisher | Lublin University of Technology |
| record_format | Article |
| series | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| spelling | doaj.art-7e071f42178b41feb45ae9c5d2e954012023-03-31T05:40:24ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska2083-01572391-67612023-03-0113110.35784/iapgos.3434FEATURES OF THE IMPLEMENTATION OF COMPUTER VISION IN THE PROBLEMS OF AUTOMATED PRODUCT QUALITY CONTROL Nataliia Stelmakh0Ihor Mastenko1Olga Sulima2Tetiana Rudyk3National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Instrument Production and EngineeringNational Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Instrument Production and EngineeringNational Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Mathematical Physics and Differential EquationsNational Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Mathematical Physics and Differential Equations The article analyzes the fields of application of machine vision. Special attention is focused on the application of Machine Vision in intelligent technological systems for product quality control. An important aspect is a quick and effective analysis of product quality directly at the stage of the technological process with high accuracy in determining product defects. The appropriateness and perspective of using the mathematical apparatus of artificial neural networks for the development of an intelligent technological system for monitoring the geometric state of products have been demonstrated. The purpose of this study is focused on the identification and classification of reed tuber quality parameters. For this purpose, new methods of identification and classification of quality control of various types of defects using computer vision and machine learning algorithms were proposed. https://ph.pollub.pl/index.php/iapgos/article/view/3434machine visionintelligent technological systemquality controlneural networks |
| spellingShingle | Nataliia Stelmakh Ihor Mastenko Olga Sulima Tetiana Rudyk FEATURES OF THE IMPLEMENTATION OF COMPUTER VISION IN THE PROBLEMS OF AUTOMATED PRODUCT QUALITY CONTROL Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska machine vision intelligent technological system quality control neural networks |
| title | FEATURES OF THE IMPLEMENTATION OF COMPUTER VISION IN THE PROBLEMS OF AUTOMATED PRODUCT QUALITY CONTROL |
| title_full | FEATURES OF THE IMPLEMENTATION OF COMPUTER VISION IN THE PROBLEMS OF AUTOMATED PRODUCT QUALITY CONTROL |
| title_fullStr | FEATURES OF THE IMPLEMENTATION OF COMPUTER VISION IN THE PROBLEMS OF AUTOMATED PRODUCT QUALITY CONTROL |
| title_full_unstemmed | FEATURES OF THE IMPLEMENTATION OF COMPUTER VISION IN THE PROBLEMS OF AUTOMATED PRODUCT QUALITY CONTROL |
| title_short | FEATURES OF THE IMPLEMENTATION OF COMPUTER VISION IN THE PROBLEMS OF AUTOMATED PRODUCT QUALITY CONTROL |
| title_sort | features of the implementation of computer vision in the problems of automated product quality control |
| topic | machine vision intelligent technological system quality control neural networks |
| url | https://ph.pollub.pl/index.php/iapgos/article/view/3434 |
| work_keys_str_mv | AT nataliiastelmakh featuresoftheimplementationofcomputervisionintheproblemsofautomatedproductqualitycontrol AT ihormastenko featuresoftheimplementationofcomputervisionintheproblemsofautomatedproductqualitycontrol AT olgasulima featuresoftheimplementationofcomputervisionintheproblemsofautomatedproductqualitycontrol AT tetianarudyk featuresoftheimplementationofcomputervisionintheproblemsofautomatedproductqualitycontrol |