Study on Automated Scrap-Sorting by an Image Processing Technology


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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.



Advanced Materials Research (Volumes 26-28)

Edited by:

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




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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DOI: 10.1016/s0924-0136(98)00044-2

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