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Proceedings Paper

Automatic classification of bottles in crates
Author(s): Kjersti Aas; Line Eikvil; Dag Bremnes; Andreas Norbryhn
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Paper Abstract

This paper presents a statistical method for classification of bottles in crates for use in automatic return bottle machines. For the automatons to reimburse the correct deposit, a reliable recognition is important. The images are acquired by a laser range scanner coregistering the distance to the object and the strength of the reflected signal. The objective is to identify the crate and the bottles from a library with a number of legal types. The bottles with significantly different size are separated using quite simple methods, while a more sophisticated recognizer is required to distinguish the more similar bottle types. Good results have been obtained when testing the method developed on bottle types which are difficult to distinguish using simple methods.

Paper Details

Date Published: 27 March 1995
PDF: 10 pages
Proc. SPIE 2423, Machine Vision Applications in Industrial Inspection III, (27 March 1995); doi: 10.1117/12.205497
Show Author Affiliations
Kjersti Aas, Norwegian Computing Ctr. (Norway)
Line Eikvil, Norwegian Computing Ctr. (Norway)
Dag Bremnes, Tomra Systems A/S (Norway)
Andreas Norbryhn, Tomra Systems A/S (Norway)

Published in SPIE Proceedings Vol. 2423:
Machine Vision Applications in Industrial Inspection III
Frederick Y. Wu; Stephen S. Wilson, Editor(s)

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