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Study on Automated Scrap-Sorting by an Image Processing Technology

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Abstract:

In this study, an automated scrap-sorting system using image processing technology has been designed and examined to automatically sort out specified materials from a mixture, especially Cu and other non-ferrous metal scraps from a mixture of iron scraps. In the functional tests of the system, its efficiency in the separation of Cu scraps from its mixture with Fe ones reaches to 75 % or more at a conveying speed of 20 m/min., and thus it is expected that the system can be commercialized in the industry of shredder makers if an automated sorting system of high speed is realized.

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Advanced Materials and Processing View Preview

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Periodical:

Advanced Materials Research (Volumes 26-28)

Pages:

453-456

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.26-28.453

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Online since:

October 2007

Authors:

Chan Wook Kim, Hang Goo Kim

Keywords:

Color Recognition, Ejector, Image Processing, Line Scan, Scrap-Sorting

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© 2007 Trans Tech Publications Ltd. All Rights Reserved

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References

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