Machine vision in the packing house: putting neural networks to work

Zvi H. Lev

doi:10.1117/12.336870

14 January 1999 Machine vision in the packing house: putting neural networks to work

Zvi H. Lev

Proceedings Volume 3543, Precision Agriculture and Biological Quality; (1999) https://doi.org/10.1117/12.336870
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

The fresh produce packing industry represents a large potential market for machine vision inspection systems. Unlike most manufacturing industries, there is no single 'reference product' form which any deviations represent a flaw. The Optigrade II machine was designed to replace human sorters and extensively utilizes neural networks to emulate the human sorting process. The network architecture and design principles are presented with an emphasis on the problems arising in the development of a commercial product.

Citation Download Citation

Zvi H. Lev "Machine vision in the packing house: putting neural networks to work", Proc. SPIE 3543, Precision Agriculture and Biological Quality, (14 January 1999); https://doi.org/10.1117/12.336870

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