Study on Automated Scrap-Sorting by an Image Processing Technology

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 26-28)

Edited by:

Young Won Chang, Nack J. Kim and Chong Soo Lee

Pages:

453-456

DOI:

10.4028/www.scientific.net/AMR.26-28.453

Citation:

C. W. Kim and H. G. Kim, "Study on Automated Scrap-Sorting by an Image Processing Technology", Advanced Materials Research, Vols. 26-28, pp. 453-456, 2007

Online since:

October 2007

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Price:

$35.00

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