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A Low-Cost Vision System Using a Retrofitted Robot for Locating Parts for Welding Process.

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Τίτλος: A Low-Cost Vision System Using a Retrofitted Robot for Locating Parts for Welding Process.
Συγγραφείς: Coelho, Fagner Guilherme Ferreira, Bracarense, Alexandre Queiroz, Lima II, Eduardo José
Πηγή: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); 7/1/2022, Vol. 47 Issue 7, p8457-8467, 11p
Θεματικοί όροι: Welding, Vision, Welded joints, Pattern recognition systems, Robots, Industrial robots, Binocular vision, Low vision
Περίληψη: The use of automation has dramatically increased in various industries and domains including our daily lives. The manufacturing industry is no exception, as it continuously seeks to produce high-quality products at scale. A system devoid of a vision system can be considered a relatively blind tool that cannot cope with the uncertainty of handling components of different geometries that are in different positions. The growing use of vision systems is helping several application areas and contributing significantly in various stages of the production cycle and making the process more efficient and confident. This study aims to evaluate, through techniques of pattern recognition statistics, the use of a low-cost vision system that allows the accurate recognition of the target position without the aid of additional devices. We use metal parts that have the same thickness. These parts are measured using digital static pictures and are compared with the measurements performed using appropriately calibrated metrology tools. The experimental results validate the application of the proposed system in a real-world welding process. [ABSTRACT FROM AUTHOR]
Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  – Url: https://dx.doi.org/doi:10.1007/s13369-021-06301-3
    Name: EDS - Springer Nature Journals (s7799221)
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PubTypeId: academicJournal
PreciseRelevancyScore: 915.928283691406
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  Data: A Low-Cost Vision System Using a Retrofitted Robot for Locating Parts for Welding Process.
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  Data: <searchLink fieldCode="AR" term="%22Coelho%2C+Fagner+Guilherme+Ferreira%22">Coelho, Fagner Guilherme Ferreira</searchLink><br /><searchLink fieldCode="AR" term="%22Bracarense%2C+Alexandre+Queiroz%22">Bracarense, Alexandre Queiroz</searchLink><br /><searchLink fieldCode="AR" term="%22Lima+II%2C+Eduardo+José%22">Lima II, Eduardo José</searchLink>
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  Data: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); 7/1/2022, Vol. 47 Issue 7, p8457-8467, 11p
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  Data: <searchLink fieldCode="DE" term="%22Welding%22">Welding</searchLink><br /><searchLink fieldCode="DE" term="%22Vision%22">Vision</searchLink><br /><searchLink fieldCode="DE" term="%22Welded+joints%22">Welded joints</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+recognition+systems%22">Pattern recognition systems</searchLink><br /><searchLink fieldCode="DE" term="%22Robots%22">Robots</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+robots%22">Industrial robots</searchLink><br /><searchLink fieldCode="DE" term="%22Binocular+vision%22">Binocular vision</searchLink><br /><searchLink fieldCode="DE" term="%22Low+vision%22">Low vision</searchLink>
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  Data: The use of automation has dramatically increased in various industries and domains including our daily lives. The manufacturing industry is no exception, as it continuously seeks to produce high-quality products at scale. A system devoid of a vision system can be considered a relatively blind tool that cannot cope with the uncertainty of handling components of different geometries that are in different positions. The growing use of vision systems is helping several application areas and contributing significantly in various stages of the production cycle and making the process more efficient and confident. This study aims to evaluate, through techniques of pattern recognition statistics, the use of a low-cost vision system that allows the accurate recognition of the target position without the aid of additional devices. We use metal parts that have the same thickness. These parts are measured using digital static pictures and are compared with the measurements performed using appropriately calibrated metrology tools. The experimental results validate the application of the proposed system in a real-world welding process. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s13369-021-06301-3
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Vision
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      – SubjectFull: Welded joints
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      – SubjectFull: Industrial robots
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      – SubjectFull: Binocular vision
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      – SubjectFull: Low vision
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              M: 07
              Text: 7/1/2022
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