Computer Vision System for Ginseng Drying - Softcover

Martynenko, Alex

 
9783639024500: Computer Vision System for Ginseng Drying
Softcover
ISBN 10: 3639024508 ISBN 13: 9783639024500
Verlag: VDM Verlag Dr. Mueller e.K., 2008

Inhaltsangabe

A control system for multi-stage ginseng drying, based on real-time identification of moisture and quality changes, was developed. Computer-vision system provided real-time imaging of area shrinkage and colour changes. Shrinkage was identified by extracting of the green plane from the RGB color space, while colour changes- from the HSI color space. Shrinkage-moisture and colour-quality relationships were experimentally developed over the entire range of drying conditions in isothermal and non-isothermal drying. Relational models were used as components of control system. Data from computer vision system were used to generate relevant signals to low-level controller for temperature adjustment according to actual moisture content and quality. It enabled to start drying with the predictive model and then re-evaluate the drying conditions on the basis of feedback information from computer-vision system. Testing of a pilot batch dryer with an embedded virtual controller showed robustness and reliability of control, which provided drying to target moisture content 0.1 g/g (db) with high-standard quality.

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Reseña del editor

A control system for multi-stage ginseng drying, based on real-time identification of moisture and quality changes, was developed. Computer-vision system provided real-time imaging of area shrinkage and colour changes. Shrinkage was identified by extracting of the green plane from the RGB color space, while colour changes- from the HSI color space. Shrinkage-moisture and colour-quality relationships were experimentally developed over the entire range of drying conditions in isothermal and non-isothermal drying. Relational models were used as components of control system. Data from computer vision system were used to generate relevant signals to low-level controller for temperature adjustment according to actual moisture content and quality. It enabled to start drying with the predictive model and then re-evaluate the drying conditions on the basis of feedback information from computer-vision system. Testing of a pilot batch dryer with an embedded virtual controller showed robustness and reliability of control, which provided drying to target moisture content 0.1 g/g (db) with high-standard quality.

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Verlag
VDM Verlag Dr. Mueller e.K.
Erscheinungsdatum
2008
Sprache
Englisch
ISBN 10 
3639024508
ISBN 13 
9783639024500
Einband
Tapa blanda
Anzahl der Seiten
200
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar