Abstract
Solid waste management is an essential task to be carried out in day-to-day life. So an automated recognition system using deep learning algorithm has been implemented to classify wastes as biodegradable and non-biodegradable. Efficient segregation of solid wastes helps to reduce the amount of waste buried in the ground, thereby improving the recycling rate, and safeguards the soil from pollution.
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Abbreviations
- CNN:
-
Convolutional Neural Network
- R-CNN:
-
Region Convolutional Neural Network
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Brintha, V.P., Rekha, R., Nandhini, J., Sreekaarthick, N., Ishwaryaa, B., Rahul, R. (2020). Automatic Classification of Solid Waste Using Deep Learning. In: Kumar, L., Jayashree, L., Manimegalai, R. (eds) Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications. AISGSC 2019 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-24051-6_83
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DOI: https://doi.org/10.1007/978-3-030-24051-6_83
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