• DocumentCode
    1853938
  • Title

    Inspection of bottles crates in the beer industry through computer vision

  • Author

    Campos, Mário ; Ferreira, Manuel ; Martins, Teresa ; Santos, Cristina

  • Author_Institution
    Enermeter, Sist. de Med., SA, Braga, Portugal
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1138
  • Lastpage
    1143
  • Abstract
    This article presents a system developed for the industry of bottling beer. The system has to perform the inspection of various items in the final stage, meaning after the production phase where the bottles are already in the crate. The items to inspect are the following: whether the crate is correct (with the correct color), whether the crate is broken, whether the crate is fully populated, i.e., all bottles are present, to check for bottles without caps and whether the capsule is the correct one. The work uses techniques of computer vision for these verifications and also principal components analysis (PCAs) for the recognition of the capsules. This system is currently installed in the assembly line and the results indicate high efficiency and confidence in the obtained solution.
  • Keywords
    beverage industry; bottles; computer vision; inspection; object recognition; packaging; production engineering computing; beer industry; bottles crates inspection; capsules recognition; computer vision; principal component analysis; Cameras; Image color analysis; Image segmentation; Inspection; Lighting; Principal component analysis; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5675529
  • Filename
    5675529