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{ "item_title" : "Computer Vision System for Ginseng Drying", "item_author" : [" Alex Martynenko "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/63/902/450/3639024508_b.jpg", "price_data" : { "retail_price" : "73.44", "online_price" : "73.44", "our_price" : "73.44", "club_price" : "73.44", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computer Vision System for Ginseng Drying|Alex Martynenko

Computer Vision System for Ginseng Drying

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Overview

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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Details

  • ISBN-13: 9783639024500
  • ISBN-10: 3639024508
  • Publisher: VDM Verlag Dr. Mueller E.K.
  • Publish Date: May 2008
  • Dimensions: 9 x 6 x 0.42 inches
  • Shipping Weight: 0.6 pounds
  • Page Count: 200

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