Design and Implementation of Intelligent Garbage Classification System Based on Artificial Intelligence Technology

Abstract

In order to help users to correctly classify garbage and achieve better utilization of garbage resources, this article proposes an intelligent garbage classification system, which includes a cloud server, intelligent classification garbage bins, and mobile smart ends. Using cloud computing, artificial intelligence, image processing, Raspberry Pi design, WeChat mini-program and other technologies, the intelligent classification garbage bin realizes three working modes: manual classification, automatic classification, and compression. In the automatic classification mode, the intelligent classification garbage bin firstly preprocesses the collected garbage images, then uploads the main garbage images to the cloud server for classification, and finally uses the garbage position information provided by the resistive screen on the carrying platform to adjust in real time garbage delivery posture, put the garbage into corresponding part of the garbage bin to prevent the garbage from falling accidentally. The mobile smart end implements multiple functions, for instance, tracing the results of garbage disposal. It has been thoroughly tested that the accuracy of this system for automatic classification reaches 92%, providing a simple and feasible solution for garbage classification.