Abstract
Through the analysis of the status quo of domestic waste treatment, three common and recyclable domestic wastes of plastic bottles, cardboard and cans are selected as the classification samples to study the classification of the overall domestic waste. Based on MATLAB, a nerve that can be used for domestic waste sorting is designed. The network model realizes the effective classification of the domestic garbage images after real-time acquisition of the images by the camera, and borrows the MATLAB GUI toolbox to design a GUI that is easy to operate and has strong practicability. The research provides an implementation method for the effective sorting and treatment of domestic waste.
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Huang, Y., Lu, Z., Sun, J., Wang, B., Liao, S. (2023). Research on Feature Picking of Domestic Waste Sorting Based on Neural Network Training. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 467. Springer, Cham. https://doi.org/10.1007/978-3-031-23944-1_52
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