Please use this identifier to cite or link to this item:
|Type:||Artigo de periódico|
|Title:||Using Machine Vision To Estimate Bird Weight In The Poultry Industry|
|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|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.