• DocumentCode
    1807615
  • Title

    Automating the sensor placement task for accurate dimensional inspection

  • Author

    Mason, Scott O. ; Gruen, Armin

  • Author_Institution
    Inst. for Geodesy & Photogrammetry, Swiss Federal Inst. of Technol., Zurich, Switzerland
  • fYear
    1994
  • fDate
    8-11 Feb 1994
  • Firstpage
    142
  • Lastpage
    150
  • Abstract
    Deriving accurate 3D object dimensions with a vision system for inspection tasks demands the use of multi-station sensor configurations. In such configurations, each feature appears in images from multiple viewpoints facilitating its measurement by means of optical triangulation. This paper reviews photogrammetric expertise in the design of such configurations, including the bundle method, a general math model for optical triangulation, and fundamental considerations and constraints influencing the placement of sensor stations. Finally, we report on development of an expert system for automating the design of multi-station configurations. Examples showing the current status of this work are given
  • Keywords
    automatic optical inspection; computer vision; expert systems; image sensors; photogrammetry; production engineering computing; 3D object dimensions; accurate dimensional inspection; bundle method; expert system; general math model; manufacturing inspection; multistation configurations; multistation sensor configuration; optical triangulation; photogrammetric expertise; sensor placement task; three dimensional object dimensions; vision system; Automatic optical inspection; Expert systems; Geodesy; Image converters; Intelligent sensors; Level measurement; Optical design; Optical sensors; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    CAD-Based Vision Workshop, 1994., Proceedings of the 1994 Second
  • Conference_Location
    Champion, PA
  • Print_ISBN
    0-8186-5310-8
  • Type

    conf

  • DOI
    10.1109/CADVIS.1994.284506
  • Filename
    284506