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Smart city article details

Title	Trash Stratification By Using Convolution Neural Network
ID_Doc	58935
Authors	Manu Y.M.; Dhruthi S.; Hemaraju; Naveen B.
Year	2023
Published	2023 International Conference on Network, Multimedia and Information Technology, NMITCON 2023
DOI	http://dx.doi.org/10.1109/NMITCON58196.2023.10275912
Abstract	Officials in non-industrialized countries like India are often aware of the need for better leaders. However, little effort has been made to improve the situation and change often takes a long time. As we know the population of India constitutes some percentage of the total population. As the development of smart cities continues rapidly in India, waste management systems are in great demand. Because the amount of waste is increasing step by step. The current work in India is to remove everything from the indigenous people who produce daily waste to the vast vacant lot. The work of waste collection workers is not high, takes a lot of time and even cannot be done completely due to the large amount of waste. The motivation behind the research is to create an ongoing practice that can understand the types of waste and classify them into specific categories. A unique framework recognizes the most efficient path for classification and also provides higher accuracy separation. This study yielded surprising results and put the different waste images into the right categories with god results. © 2023 IEEE.
Author Keywords	Classification; Convolution Neural Network; Delineation; Hierarchical learning; Trash-net

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