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HORÁK, K. RICHTER, M. KALOVÁ, I.
Original Title
Automated Flaws Detection on Bottles in Food Industry
Type
conference paper
Language
English
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).
Keywords
flaw, detection, recognition, pattern
Authors
HORÁK, K.; RICHTER, M.; KALOVÁ, I.
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
BibTex
@inproceedings{BUT31085, author="Karel {Horák} and Miloslav {Richter} and Ilona {Janáková}", title="Automated Flaws Detection on Bottles in Food Industry", booktitle="Annals of DAAAM for 2009 & Proceedings of the 20th International DAAAM Symposium", year="2009", pages="133--134", publisher="DAAAM International", address="Vienna, Austria 2009", isbn="978-3-901509-70-4" }