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

机译：包装厂的机器视觉：使神经网络发挥作用

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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. !7

机译：摘要：生鲜包装行业代表了机器视觉检查系统的巨大潜在市场。与大多数制造业不同，没有任何偏差代表缺陷的“参考产品”形式。 Optigrade II机器旨在取代人类分拣机，并广泛利用神经网络来模拟人类分拣过程。提出了网络体系结构和设计原则，重点是在开发商业产品时出现的问题。！7

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来源
《Precision Agriculture and Biological Quality》|1998年|p.82-90|共9页
会议地点 Boston MA(US)
作者
Zvi H. Lev; Fruitonics Ltd.; Rehovot; Israel.;
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正文语种 eng
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Machine vision in the packing house: putting neural networks to work

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