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Proceedings Paper

Chocolate pop inspection and selection in situ using cross correlation
Author(s): José Jorge Hernández Constante; Jorge L. Flores; Rubén Ruelas Lepe; G. García-Torales; Alejandro González Álvarez
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Paper Abstract

We present an in situ image recognition system in order to inspect the standards of quality of chocolate pops during their production. In high percent, the stick of pops is not settling in the right position and it is our predictable quality problem. The recognition system compares a reference image with the image of chocolate pop under test, in order to determine if this pop has the stick in right position. As result of this work, we obtain the parameters that can help to determine which pops meet the standards of quality.

Paper Details

Date Published: 10 February 2006
PDF: 7 pages
Proc. SPIE 6046, Fifth Symposium Optics in Industry, 60461C (10 February 2006); doi: 10.1117/12.674541
Show Author Affiliations
José Jorge Hernández Constante, Univ. de Guadalajara (Mexico)
Jorge L. Flores, Univ. de Guadalajara (Mexico)
Rubén Ruelas Lepe, Univ. de Guadalajara (Mexico)
G. García-Torales, Univ. de Guadalajara (Mexico)
Alejandro González Álvarez, Univ. de Guadalajara (Mexico)


Published in SPIE Proceedings Vol. 6046:
Fifth Symposium Optics in Industry
Eric Rosas; Rocío Cardoso; Juan C. Bermudez; Oracio Barbosa-García, Editor(s)

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