Material Recognition Using CNN Approach for Garbage Collection System
Material identification has been proved to be of important interest for different fields such as industrial automation, autonomous robots The autonomous robots for garbage collection, such as aquatic-cleaning [3] or garbage gathering [6] need the algorithm for identification of materials. Automatic...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Galati University Press
2022-12-01
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| Series: | The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science |
| Subjects: | |
| Online Access: | https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/5831 |
| Summary: | Material identification has been proved to be of important interest for different fields such as industrial automation, autonomous robots The autonomous robots for garbage collection, such as aquatic-cleaning [3] or garbage gathering [6] need the algorithm for identification of materials. Automatic conveyer identification for garbage collection and segregation also use algorithm for material identification. In this paper is proposed an algorithm based on Convolutional Neural Network. |
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| ISSN: | 2668-4748 2668-4756 |