Intelligent quality monitoring in low-cost vision systems

被引：0

作者：

Nijhuis, JAG ^{[1
]}

Spaanenburg, L ^{[1
]}

ter Brugge, MH ^{[1
]}

Stevens, JH ^{[1
]}

Wichers, W ^{[1
]}

de Graaf, J ^{[1
]}

机构：

[1] Univ Groningen, Dept Comp Sci, NL-9700 AV Groningen, Netherlands

来源：

NEURAL NETWORKS: BEST PRACTICE IN EUROPE | 1997年 / 8卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Neural networks can be applied for a number of innovative applications in a production environment, ranging from security & safety in the environmental conditions to the product control & diagnosis. For visual monitoring the use of low-resolution images is promising to bridge the time elapse between more elaborous stampings. This facility for biologically motivated decision-making is illustrated by two real-life applications: stain detection and mixture diagnosis.

引用

页码：111 / 121

页数：11

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