In-line inspection of roundness using machine vision.

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Title: In-line inspection of roundness using machine vision.
Authors: Ayub, Muhammad Azmi1 muhdazmiayub@gmail.com, Mohamed, Azmi B.2, Esa, Abdul Halim1
Source: Interdisciplinarity in Engineering. 2014, Vol. 15, p808-817. 10p.
Subjects: Consumers, Roundness measurement, Computer vision, Image processing, Coordinate measuring machines, Camshafts
Abstract: It is a common practice for any manufacturers to control the quality of their product in order to satisfy the customers' needs. This is particularly important for most machined parts which require a stringent dimensional and geometrical control. Once a machined part is produced, an inspection process is carried out to check whether the part is within specified tolerances. The purpose of the inspection procedure is to ensure that the part will meet its functional and performance requirements in their overall assembly. One of the most important tolerances to be controlled on a cylindrical machined part is the roundness error. A roundness measuring machine (RMM) and coordinate measuring machine (CMM) are the general metrological equipment used for inspection of roundness which normally performed in a quality room. This study aims to develop an in-line inspection of roundness error using machine vision. The system is developed with a machine vision (camera), work holding tools, lighting device and also image processing software for roundness evaluation. An automotive camshaft has been taken as a sample of the cylindrical part. [ABSTRACT FROM AUTHOR]
Copyright of Interdisciplinarity in Engineering is the property of University of Medicine, Pharmacy, Sciences and Technology of Tîrgu Mures 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.)
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  Data: <searchLink fieldCode="DE" term="%22Consumers%22">Consumers</searchLink><br /><searchLink fieldCode="DE" term="%22Roundness+measurement%22">Roundness measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Coordinate+measuring+machines%22">Coordinate measuring machines</searchLink><br /><searchLink fieldCode="DE" term="%22Camshafts%22">Camshafts</searchLink>
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  Data: It is a common practice for any manufacturers to control the quality of their product in order to satisfy the customers' needs. This is particularly important for most machined parts which require a stringent dimensional and geometrical control. Once a machined part is produced, an inspection process is carried out to check whether the part is within specified tolerances. The purpose of the inspection procedure is to ensure that the part will meet its functional and performance requirements in their overall assembly. One of the most important tolerances to be controlled on a cylindrical machined part is the roundness error. A roundness measuring machine (RMM) and coordinate measuring machine (CMM) are the general metrological equipment used for inspection of roundness which normally performed in a quality room. This study aims to develop an in-line inspection of roundness error using machine vision. The system is developed with a machine vision (camera), work holding tools, lighting device and also image processing software for roundness evaluation. An automotive camshaft has been taken as a sample of the cylindrical part. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Interdisciplinarity in Engineering is the property of University of Medicine, Pharmacy, Sciences and Technology of Tîrgu Mures 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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      – Type: doi
        Value: 10.1016/j.protcy.2014.09.054
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 808
    Subjects:
      – SubjectFull: Consumers
        Type: general
      – SubjectFull: Roundness measurement
        Type: general
      – SubjectFull: Computer vision
        Type: general
      – SubjectFull: Image processing
        Type: general
      – SubjectFull: Coordinate measuring machines
        Type: general
      – SubjectFull: Camshafts
        Type: general
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      – TitleFull: In-line inspection of roundness using machine vision.
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            NameFull: Ayub, Muhammad Azmi
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            NameFull: Esa, Abdul Halim
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            – D: 01
              M: 07
              Text: 2014
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