Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/101220
Type: Artigo de periódico
Title: Using Machine Vision To Estimate Bird Weight In The Poultry Industry
Author: Lotufo R.A.
Taube-Neto M.
Conejo E.
Hoyos F.J.
Abstract: This work describes a real-time continuous broiler weighing 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 weighing 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.
Editor: Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, United States
Rights: aberto
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0032640323&partnerID=40&md5=0fe21511a2ebdeb834108d736f5079f1
Date Issue: 1999
Appears in Collections:Unicamp - Artigos e Outros Documentos

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