Material Recognition Using CNN Approach for Garbage Collection System
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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[2]. Seredkin A. V., et al., Development of a method of detection and classification of waste objects on a conveyor for a robotic sorting system, J. Phys., Conf. Ser., 1359, 012127, 2019.
[3]. ***, Automated Garbage Collector, Technomentis, https://www.instructables.com/id/Automated-Garbage-Collector/, accessed on April 10, 2019.
[4]. Bai J., Lian S., Liu Z., Wang K., Liu D., Deep Learning Based Robot for Picking up Garbage on the Grass Automatically, Proc. IEEE Transaction on Consumer Electronics, TCE, 2859629, 2018.
[5]. Zhihong C., Hebin Z., Yan W., Yanbo W., Binyan L., Multitask Detection System for Garbage Sorting base on High-order Fusion of Convolutional Feature Hierarchical Representation, Proc. 37th Chinese Control Conference, 2018.
[6]. Ren S., He K., Girshick R., Sun J., Faster r-cnn: Towards real-time object detection with region proposal networks, Proc. NIPS, 2015.
[7]. Huang J., Rathod V., Sun C., Zhu M., Korattikara A., Fathi A., Fischer I., Wojna Z., Song Y., Guadarrama S., Murphy K., arXiv arXiv:1611.10012v, 2017.
[8]. Chen S., Wang D., Liu T., Ren W., Zhong Y., An autonomous ship for cleaning the garbage floating on a lake, 2nd Int. Conf. Intell. Comput. Technol. Autom., Changsha, p. 471-474, 2009.
[5]. Zhang H., Zhang J., Zong G., Wang W., Liu R., Sky Cleaner 3: a real pneumatic climbing robot for glass-wall cleaning, IEEE Robot. Autom. Mag., vol. 13, no. 1, p. 32-41, Mar. 2006.
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 26Dec.2024];45(4):126-9. Available from: https://gup.ugal.ro/ugaljournals/index.php/mms/article/view/5831
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