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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Picon, A. Ghita, O. Iriondo, P.M. Bereciartua, A. Whelan, P.F. |
| Copyright Year | 2010 |
| Description | Author affiliation: Centre for Image Processing and Analysis, Dublin City University, Ireland (Ghita, O.; Whelan, P.F.) || Tecnalia Research and Innovation, Infotech Unit, Parque Tecnológico Ed 202 Robotiker-Tecnalia, Zamudio, Spain (Picon, A.; Bereciartua, A.) || Department of Automatic Control and Systems Engineering, University of the Basque Country, Spain (Iriondo, P.M.) |
| Abstract | The advent of new hyperspectral imaging modalities made possible the implementation of flexible machine vision systems that can be designed to solve a variety of industrial tasks such as automatic material sorting. However the design of robust machine vision systems is far from a trivial task as several issues including mechanical design, development of an appropriate illumination set-up, optimal interfacing between the sensing and optical equipment with the computer vision component have to be properly addressed in order to accommodate all challenges that are encountered in a typical industrial environment. In this paper we present a novel methodology to automate the recycling process of non-ferrous metal Waste from Electric and Electronic Equipment (WEEE) where a particular emphasis is placed on the design choices that were made in the development of the proposed waste sorting system. The developed machine vision system has been subjected to a thorough robustness evaluation and the reported experimental results indicate that the proposed solution can be used to replace the manual procedure that is currently used in WEEE recycling plants. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 577298 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424468485 |
| ISSN | 19460759 |
| e-ISBN | 9781424468508 |
| DOI | 10.1109/ETFA.2010.5641201 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-13 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electronic waste Hyperspectral imaging Recycling Sorting Classification algorithms |
| Content Type | Text |
| Resource Type | Article |
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