Proceedings of the Fuzzy System Symposium
37th Fuzzy System Symposium
Session ID : TE2-3
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Basic Study of Estimating Copper Content Extracted from Spent Electronic Substrates Images
*Hiromasa ShindoKazune SasakiEtsuro NakamuraHikaru ShiraiYoichi KageyamaSigeru KawamuraChikako Ishizawa
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Abstract

Electronic substrates contain metals of high economic values such as gold, silver, copper, and palladium. In non-ferrous metal smelters, these metals are recycled and valuable ones are being recovered. In order to recycle the spent electronic substrates, it is necessary to estimate the valuable metal content in the spent electronic substrates in advance, and select an appropriate treatment method. In this paper, we extracted parts containing copper on a spent electronic substrate using image recognition technology, and conducted a basic study of estimating copper content using features.

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© 2021 Japan Society for Fuzzy Theory and Intelligent Informatics
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