Smart Garbage Classifier
Keywords:
Garbage classification, computer vision, shape descriptor ,object classification, k nearest neighbour.Abstract
Smart garbage classifier classifies the given solid garbage into paper, metal, trash, glass and cardboard. It analyses the image using a camera and preprocesses the images using image processing algorithms followed by machine learning algorithm to do the classification. So that it will be easier for further recycling.
References
- Adam Garcia, Tom Jacobson, “Smart waste disposal in Guam”, Journal of Waste Disposal and management (2017)
- Wang, F., Kuehr, R., Huisman, J. “The Global E-waste Monitor” Institute of Advanced Study of Sustainability (2014)
- Bhavik Gupta, Shakti Kumar Arora “A study on management of municipal solid waste in Delhi” Journal of Environment and Waste Management 3 (2016)
- Chao Li, Shuheng Zhang, et al, “Using the K- Nearest Neighbor Algorithm for the Classification of Lymph Node Metastasis in Gastric Cancer” Computational and Mathematical Methods in Medicine, Volume 2012 (2012), Article ID 876545
- US EPA website: World Bank Report on Solid Waste Management
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Published
2021-06-30
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Research Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
[1]
Prof. M. Premalatha, Syeda Zainab, Arpita Sahu, Anushka Bohara, Vijaya Lakshmi "Smart Garbage Classifier" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099,
Volume 8, Issue 3, pp.555-560, May-June-2021.