Design of intelligent garbage classifier system based on machine vision

Abstract

With the rapid development of society, the amount of garbage produced in life is increasing day by day. How to deal with the garbage and how to classify the garbage scientifically and effectively are hot topics in the current society. To solve the above problems, this paper proposes an intelligent garbage classifier based on machine vision. The design uses STM32F103C8T6 single chip microcomputer as the core controller of the intelligent garbage collector. The hardware part of the system is composed of computer vision identification module, power module, photoelectric switch module, ultrasonic module, stepper motor driver and other modules. At the same time, different kinds of garbage are identified through the visual module. The single-chip microcomputer completes the software test of garbage classification through the stepper motor. Finally, the performance of the intelligent garbage collector is verified through experiments. The results show that the intelligent garbage classifier can realize the key functions of intelligent identification and automatic sorting and achieve high accuracy in the process of identifying different garbage. The design has great practical value.