Research On Intelligent Classification Trash Can Based on Machine Learning

Abstract

At present, there are still many difficulties in advancing garbage classification in China. This passage simulates human eyes by camera, core processor simulates human brain, complete human motion by mechanical design, and realizes intelligent garbage bin classification based on machine vision: AI vision module takes K210 as the core processor; The electronic module uses STM32 as the core chip and the mechanical module to realize two main structures: stepper motor - turntable and servo - connecting rod, which can transport the identified garbage and put it into the corresponding trash can. After testing, the identification accuracy of harmful garbage is as high as 99%, and the accuracy of the other three types of garbage is 93.18%, which can effectively identify the types of garbage and realize automatic garbage classification.