Intelligent garbage classification system based on vision and speech recognition

Abstract

With the rapid development of the economy and the continuous improvement of people's living standards, the production of daily waste has increased sharply. In order to effectively realize waste reduction and resource recycling, garbage classification has been widely promoted. However, despite various publicity efforts, there are still problems with unclear, ambiguous, and incorrect garbage classification among residents. To address these issues, an intelligent garbage classification system based on vision and speech recognition technology has been designed. The system includes an intelligent management terminal at each park's garbage collection point, which collects voice and image information for processing and analysis on a central server. The terminal is equipped with the ability to control the opening and closing of the intelligent garbage can lid and monitor the status of the garbage collection points. Furthermore, a supporting mobile application is available, enabling users to learn about garbage classification knowledge online and to carry out proper garbage classification. The implementation of this intelligent system solves the problem of garbage classification, which improves the efficiency of garbage treatment and provides significant practical and social value.