Design of Garbage Classification System Based on Artificial Intelligence Technology

Abstract

Artificial intelligence is the study of the science of using computers to simulate certain human thought processes and intelligent behaviours, providing solutions for many domestic and international garbage classification applications. Based on artificial intelligence technology and software development technology, this paper analyses the garbage classification process, studies key garbage classification technologies and designs a system development framework. In particular, the garbage classification process follows the process of machine vision, item recognition and check classification. Key technologies for garbage classification include visual identity, convolutional neural network algorithm and Naive Bayes algorithm. The system development framework is a four-tier structure consisting of Struts2, Spring and Hibernate. The research results in this paper address key technical issues in the development of garbage classification systems, which can be selectively applied in the actual development process to improve the adaptability of the system.