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Research and application of garbage foreign object recognition algorithm

Aiming at the difficulties and pain points of garbage quality identification in the transfer process, technical demonstrations are mainly carried out from the aspects of image preprocessing, deep learning algorithm selection, and model training. A model of dry and wet garbage abnormalities in complex scenarios was established. The specific garbage image preprocessing method, deep learning algorithm and model training technology used in this project are determined. A set of intelligent identification system for automatically detecting the quality of garbage classification has been developed, and all the identification indicators of the system are better than expected.