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Proceedings Paper

Real-time color grading and defect detection of food products
Author(s): Wayne D. Daley; Richard Carey; Chris Thompson
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Paper Abstract

Manufacturing processes that utilize natural products as raw materials for forming their deliverables face additional challenges in the areas of quality control and inspection. This comes about from the natural variability that occurs in the products. Systems to automate this activity have been difficult to design and implement from the view of algorithm complexity which impacts the computational requirements for real-time execution. This paper will describe a technique for recognizing global or systematic defects on poultry carcasses. A method for implementing the technique that is capable of executing at a rate of about 180 birds per minute is described.

Paper Details

Date Published: 6 January 1995
PDF: 9 pages
Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); doi: 10.1117/12.198894
Show Author Affiliations
Wayne D. Daley, Georgia Institute of Technology (United States)
Richard Carey, Georgia Institute of Technology (United States)
Chris Thompson, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2345:
Optics in Agriculture, Forestry, and Biological Processing
George E. Meyer; James A. DeShazer, Editor(s)

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