Material Recognition Using CNN Approach for Garbage Collection System
DOI:
https://doi.org/10.35219/mms.2022.4.20Schlagwörter:
material identification, waste management, convolutional neural networkAbstract
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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Veröffentlicht
2022-12-15
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1.
Material Recognition Using CNN Approach for Garbage Collection System. Ann_UGAL_MMS [Internet]. 15. Dezember 2022 [zitiert 2. November 2026];45(4):126-9. Verfügbar unter: https://ojs.ugal.ro/index.php/mms/article/view/5831
