Publication detail

Automated Flaws Detection on Bottles in Food Industry

HORÁK, K. RICHTER, M. KALOVÁ, I.

Original Title

Automated Flaws Detection on Bottles in Food Industry

English Title

Automated Flaws Detection on Bottles in Food Industry

Type

conference paper

Language

en

Original Abstract

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 side of 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).

English abstract

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 side of 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).

Keywords

flaw, detection, recognition, pattern

RIV year

2009

Released

25.11.2009

Publisher

DAAAM International

Location

Vienna, Austria 2009

ISBN

978-3-901509-70-4

Book

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

Pages from

133

Pages to

134

Pages count

2

Documents

BibTex


@inproceedings{BUT31085,
  author="Karel {Horák} and Miloslav {Richter} and Ilona {Janáková}",
  title="Automated Flaws Detection on Bottles in Food Industry",
  annote="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 side of 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).",
  address="DAAAM International",
  booktitle="Annals of DAAAM for 2009 & Proceedings of the 20th International DAAAM Symposium",
  chapter="31085",
  howpublished="print",
  institution="DAAAM International",
  year="2009",
  month="november",
  pages="133--134",
  publisher="DAAAM International",
  type="conference paper"
}