Machine vision system for automated detection of stained pistachio nuts

Tom C. Pearson

doi:10.1117/12.198863

6 January 1995 Machine vision system for automated detection of stained pistachio nuts

Tom C. Pearson

Proceedings Volume 2345, Optics in Agriculture, Forestry, and Biological Processing; (1995) https://doi.org/10.1117/12.198863
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

A machine vision system was developed to separate stained pistachio nuts, which comprise of about 5% of the California crop, from unstained nuts. The system may be used to reduce labor involved with manual grading or to remove aflatoxin contaminated product from low grade process streams. The system was tested on two different pistachio process streams: the bi- chromatic color sorter reject stream and the small nut shelling stock stream. The system had a minimum overall error rate of 14% for the bi-chromatic sorter reject stream and 15% for the small shelling stock stream.

Citation Download Citation

Tom C. Pearson "Machine vision system for automated detection of stained pistachio nuts", Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); https://doi.org/10.1117/12.198863

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