Paper
22 November 1982 Fault Detection In Manufacturing Cells Based On Three-Dimensional Visual Information
David A. Bourne, Robert Milligan Jr., Paul K. Wright
Author Affiliations +
Proceedings Volume 0336, Robot Vision; (1982) https://doi.org/10.1117/12.933608
Event: 1982 Technical Symposium East, 1982, Arlington, United States
Abstract
A three dimensional representation of a part is reconstructed from multiple camera views. Measurements are then collected from this three dimensional data and can be used to detect faults in the manufacturing process. The manufacturing faults are detected as visual abnormalities in the final parts. These abnormalities correspond to error conditions in earlier phases of manufacturing and could represent equipment failure, equipment wear or the use of a faulty control algorithm. A gage station which collects visual information is discussed. The algorithm which converts the visual information into a three dimensional representation of the part is presented and compared to other similar reconstruction strategies. Once the data have been collected and reconstructed, measurements are taken and correlated with possible error conditions. New correlations between the part measurements and manufacturing errors can be added to the control system as problems occur. For example, hammer wear in an open-die forge can be discovered by measuring the length of a work piece after it was struck. Along with each casual relationship there is a suggested course of action which is intended to be an immediate remedy for the error condition. In the forge example, a simple corrective action would be to move the hammers closer together to account for their wear. This makes it possible for the overall system to approach immunity to catastrophic errors while minimizing the number of defective parts.
© (1982) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David A. Bourne, Robert Milligan Jr., and Paul K. Wright "Fault Detection In Manufacturing Cells Based On Three-Dimensional Visual Information", Proc. SPIE 0336, Robot Vision, (22 November 1982); https://doi.org/10.1117/12.933608
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Manufacturing

Cameras

Reconstruction algorithms

Metals

Information visualization

Robot vision

3D metrology

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