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Automated Flaws Detection on Bottles in Food Industry

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU83541" target="_blank" >RIV/00216305:26220/09:PU83541 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automated Flaws Detection on Bottles in Food Industry

  • Original language description

    This paper describes visual system for non-contact inspection of glass bottles. The main aim is to detect flaws for rejection of faulty bottles from industrial flow line automatically. Flaws detection and localization is done by means of complex camera system with special image processing algorithms. Defects as a dirt, crack, mildew, remainders of labels etc. form inhomogeneous regions on uniform glass material. These distinctive non-homogeneities are detected in all images of the bottom, neck and sideof the each bottle. In addition to mentioned basic image processing methods there is also included pattern recognition sub-system, which is able to distinguish between synthetic patterns (e.g. manufacturer logo) and genuine flaws (e.g. mildew in the bottle).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Annals of DAAAM for 2009 & Proceedings of the 20th International DAAAM Symposium

  • ISBN

    978-3-901509-70-4

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

  • Publisher name

    DAAAM International

  • Place of publication

    Vienna, Austria 2009

  • Event location

    Vienna

  • Event date

    Nov 25, 2009

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article