The Mobile Robot for Garbage Sorting and Handling Based on Machine Vision

Abstract

Recent years, garbage sorting has attracted wide attention from all aspects of society. Various methods and policies for garbage sorting have been put forward, which started from cultivating people's active awareness of garbage sorting. With the development of machine vision and deep learning, applying these techniques to intelligent garbage sorting will be a worthy direction. A mobile robot for garbage sorting and handling based on machine vision and GPS auto-drive technology was designed in this paper. The scheme was elaborated from three aspects of mechanical structure, hardware system, and software system. The test results showed that the PID speed regulation response of the mobile robot was fast, and the accuracy rates for recyclable garbage and hazardous garbage were respectively 100% and 80%.