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Total quality control for automotive raw foundry brake disks.

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Title: Total quality control for automotive raw foundry brake disks.
Authors: Lerones, P.M.1 pedler@cartif.es, Fernández, J.L.1 joslla@cartif.es, García-Bermejo, J.G.2 jaigom@eis.uva.es, Zalama, E.2 eduzal@eis.uva.es
Source: International Journal of Advanced Manufacturing Technology. Dec2005, Vol. 27 Issue 3/4, p359-371. 13p.
Subjects: Total quality control, Quality control, Automobile industry, Computer vision, Factory management
Abstract: In this paper, a solution for the automatic raw foundry brake disk dimensional characterisation and visual inspection for the automotive industry is presented. Three different computer vision techniques are used: a calibrated 3D structured-light vision technique, for dimensional characterisation and inspection; a 3D uncalibrated structured-light vision technique for local fault detection; and a common 2D-vision technique for a further local fault recognition. A new and fully automated 3D-calibration procedure for piece dimensional characterisation is also described. The whole system is an accurately synchronised blending of mechanics, automation, computer vision and robotics. Results from industrial implementation are presented. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Advanced Manufacturing Technology 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.)
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  Data: In this paper, a solution for the automatic raw foundry brake disk dimensional characterisation and visual inspection for the automotive industry is presented. Three different computer vision techniques are used: a calibrated 3D structured-light vision technique, for dimensional characterisation and inspection; a 3D uncalibrated structured-light vision technique for local fault detection; and a common 2D-vision technique for a further local fault recognition. A new and fully automated 3D-calibration procedure for piece dimensional characterisation is also described. The whole system is an accurately synchronised blending of mechanics, automation, computer vision and robotics. Results from industrial implementation are presented. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Advanced Manufacturing Technology 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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              Text: Dec2005
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