Automatic classification of bottles in crates

Kjersti Aas; Line Eikvil; Dag Bremnes; Andreas Norbryhn

doi:10.1117/12.205497

27 March 1995 Automatic classification of bottles in crates

Kjersti Aas; Line Eikvil; Dag Bremnes; Andreas Norbryhn

Author Affiliations +

Proceedings Volume 2423, Machine Vision Applications in Industrial Inspection III; (1995) https://doi.org/10.1117/12.205497
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

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.

Citation Download Citation

Kjersti Aas, Kjersti Aas, Line Eikvil, Line Eikvil, Dag Bremnes, Dag Bremnes, Andreas Norbryhn, Andreas Norbryhn, } "Automatic classification of bottles in crates", Proc. SPIE 2423, Machine Vision Applications in Industrial Inspection III, (27 March 1995); doi: 10.1117/12.205497; https://doi.org/10.1117/12.205497

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