The automated grading of non-uniform products, such as fruit, cuts of meat, and other discrepant goods is an ongoing problem. In some areas technical advances in have permitted the on-line, single-criteria sorting of millions of items per minute. However, for many non-uniform products, especially those for which a multi-factor decision about overall quality is required, grading is still done substantially by hand. Herein, we describe the development and integration of sensor technology for Herring Roe Grading. Size, shape, firmness/texture and weight all play key roles in determining the grade of each roe skein. These variables are subjective both in the way they are determined by humans, and in the way they affect the grade of a skein. Thus, an 'intelligent' decision-making system was used to determine the final grade of the product. The system uses a fuzzy-logic knowledge base developed through acquisition of knowledge from grading experts and off-line experiments.
|Number of pages
|Published - 1 Dec 1996
|International Mechanical Engineering Congress & Exposition 1996 - Atlanta, United States of America
Duration: 17 Nov 1996 → 22 Nov 1996
|International Mechanical Engineering Congress & Exposition 1996
|United States of America
|17/11/96 → 22/11/96