• DocumentCode
    2476934
  • Title

    Flexible automatic visual inspection based on the separation of detection and analysis

  • Author

    Sablatnig, Robert

  • Author_Institution
    Dept. of Pattern Recognition & Image Process., Tech. Univ. Wien, Austria
  • Volume
    3
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    944
  • Abstract
    Since the mid-1970s, a large number of visual inspection systems and algorithms for industrial inspection have been developed. To be acceptable in industry, vision systems must be inexpensive, within the speed of the production-line flow, and very accurate. Furthermore the system should be flexible enough to accommodate changes in products. This flexibility can only be achieved by a modular concept that allows a quick and inexpensive adaption of the inspection process to changes in production. This paper presents a concept for visual inspection where the detection of primitives is separated from the model-based analysis process. Existing pattern recognition software is re-used in the detection stage and therefore the use of any detection algorithm is possible without changing the analysis process. The visual inspection of analog display measuring instruments serves as a demonstration of this concept. Results concerning time, accuracy, and reliability for the specific inspection task are given at the end of the paper
  • Keywords
    automatic optical inspection; image recognition; instruments; accuracy; analog display measuring instruments; flexible automatic visual inspection; model-based analysis process; modular concept; pattern recognition software; primitives detection; reliability; vision systems; Algorithm design and analysis; Displays; Ducts; Image analysis; Image processing; Inspection; Pattern analysis; Pattern recognition; Production systems; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.547307
  • Filename
    547307