An important element of a complex recycling process that is an integral part of municipal waste management is the sorting of materials that can be re-used. Manual sorting of garbage is a tedious and expensive process, which is why scientists create and study automated sorting techniques to improve the overall efficiency of the recycling process. An important aspect here is the preliminary division of waste into various groups, from which detailed segregation of materials will take place. One of the most important contemporary environmental problems is the recycling and utilization of plastic waste. The main problem under consideration in this article is the design of an automatic waste segregation system. A deep convoluted neural network will be used to classify images.
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