Material Recognition Using CNN Approach for Garbage Collection System

  • Florin-Bogdan MARIN “Dunarea de Jos” University of Galati, Romania
  • Mihaela MARIN “Dunarea de Jos” University of Galati, Romania
  • Gheorghe GURĂU “Dunarea de Jos” University of Galati, Romania
Keywords: material identification, waste management, convolutional neural network

Abstract

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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References

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Published
2022-12-15
How to Cite
1.
MARIN F-B, MARIN M, GURĂU G. Material Recognition Using CNN Approach for Garbage Collection System. The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science [Internet]. 15Dec.2022 [cited 28Mar.2024];45(4):126-9. Available from: https://www.gup.ugal.ro/ugaljournals/index.php/mms/article/view/5831
Section
Articles

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