A knowledge-based image-inspection system for automatic defect recognition, classification, and process diagnosis

1994 ◽  
Vol 7 (3) ◽  
pp. 135-147 ◽  
Author(s):  
Petra Perner
Keyword(s):  
Inspection System ◽  
Process Diagnosis ◽  
Knowledge Based ◽  
Image Inspection ◽  
Defect Recognition

scholarly journals A Combined Image Inspection System with Discrimination of Various Kinds of Surface Defects

1995 ◽  
Vol 115 (3) ◽  
pp. 452-459
Author(s):  
Saburo Okada ◽  
Masaaki Imade ◽  
Hidekazu Miyauchi ◽  
Tetsuhiro Sumimoto ◽  
Hideki Yamamoto
Keyword(s):  
Surface Defects ◽  
Inspection System ◽  
Image Inspection

Artificial intelligence in wine-making

OENO One ◽  
2000 ◽  
Vol 34 (2) ◽  
pp. 61
Author(s):  
Pierre Grenier ◽  
Inmaculada Álvarez ◽  
Jean-Marie Roger ◽  
Vincent Steinmetz ◽  
Pierre Barre ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Food Industry ◽  
Recent Progress ◽  
Statistical Processing ◽  
Wine Making ◽  
Process Diagnosis ◽  
Measurement Systems ◽  
Knowledge Based ◽  
Potential Applications ◽  
Areas Of Concern

<p style="text-align: justify;">In this paper, some terms of Artificial Intelligence are defined. Some present and potential applications of knowledge based systems are presented in the field of wine-making. Areas of concern were: multi sensor fusion, prediction by model cooperation, and diagnosis. Artificial intelligence techniques can indeed be applied for aiding the wine-maker in his choices. They facilitate the combination between experience and recent progress in technology. When associated with statistical processing, they allow knowledge sources to be used more effectively. Beyond wine-making, the prospects of artificial intelligence are promising for research and food industry, especially for improving the robustness of measurement systems (multi-sensors, sensors interpreted or validated by models), and for process diagnosis (risk prediction, action proposal).</p>

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