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Proceedings Paper

Using machine vision to estimate bird weight in the poultry industry
Author(s): Roberto Alencar Lotufo; Miguel Taube-Netto; Eduardo Conejo; Francisco Javier de Hoyos
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Paper Abstract

This work describes a real-time continuous broiler weighting system based on machine vision, used for size sort planning in a process plant. We demonstrate that this technology can be used successfully as an alternative to classical electromechanical carcasses weighting system. A digitized silhouette image of the carcass hung by its feet is divided in six regions: the legs, the wings, the neck and the breast. Once the parts are separated, their individual areas are measured and used in a polynomial equation that predicts the overall bird weight. A sample of 1400 birds were collected, labeled and weighted in a precision scale, in different days and different hours. We found an error standard deviation of 78 grams for broilers weighing from 750 to 2100 grams. The morphological image processing algorithms demonstrated to be robust to extract the individual parts of the carcass.

Paper Details

Date Published: 8 March 1999
PDF: 7 pages
Proc. SPIE 3652, Machine Vision Applications in Industrial Inspection VII, (8 March 1999); doi: 10.1117/12.341152
Show Author Affiliations
Roberto Alencar Lotufo, Univ. Estadual de Campinas (Brazil)
Miguel Taube-Netto, Unisoma (Brazil)
Eduardo Conejo, IBM Brazil (Brazil)
Francisco Javier de Hoyos, Unisoma (Brazil)

Published in SPIE Proceedings Vol. 3652:
Machine Vision Applications in Industrial Inspection VII
Kenneth W. Tobin Jr.; Ning S. Chang, Editor(s)

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