• DocumentCode
    1556373
  • Title

    Development of a novel image sensor and its application to analysis of automobile components

  • Author

    Sarkodie-Gyan, Thompson ; Lam, Chun-Wah ; Campbell, Andrew W.

  • Author_Institution
    Sch. of Sci. & Technol., Teesside Univ., Middlesbrough, UK
  • Volume
    2
  • Issue
    2
  • fYear
    1997
  • fDate
    6/1/1997 12:00:00 AM
  • Firstpage
    144
  • Lastpage
    150
  • Abstract
    The authors have developed a novel image sensor for continuous conditioned monitoring of high-precision tolerances of a complex automotive product. A novel mechanooptical arrangement has been designed and validated to capture the images/silhouettes of the components as input into a neural network designed on approximate reasoning architecture. The design is extensible to handle a large number of rules, and the speed of inference is almost independent of the number of rules.
  • Keywords
    CCD image sensors; feature extraction; feedforward neural nets; fuzzy logic; fuzzy set theory; inference mechanisms; approximate reasoning architecture; automobile components; complex automotive product; continuous conditioned monitoring; high-precision tolerances; image sensor; images/silhouettes; mechanooptical arrangement; Aluminum; Automobiles; Automotive engineering; Charge coupled devices; Holography; Image analysis; Image sensors; Lamps; Optical attenuators; Optical scattering;
  • fLanguage
    English
  • Journal_Title
    Mechatronics, IEEE/ASME Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4435
  • Type

    jour

  • DOI
    10.1109/3516.588635
  • Filename
    588635