基于图像识别的智能垃圾分类系统设计与实现

Design and Implementation of Intelligent Garbage Classification System Based on Image Recognition

垃圾分类是现代城市管理的重要问题之一,为了解决日益增多的生活垃圾带来的难题,提出了一种基于图像识别的智能垃圾分类系统。该系统结合最新的垃圾分类标准规范,利用百度人工智能(Artificial Intelligence,AI)框架和人工智能图像识别技术,与数据库中的数据进行对比,能够快速、准确地识别和分类垃圾。同时,通过在设计系统中加入腾讯地图的定位系统,帮助用户查询附近的垃圾回收站点和定位。该平台的搭建对提高用户的垃圾分类识别的准确性具有积极意义,对于城市管理和环境保护方面具有重要的现实意义,进一步推动了垃圾分类的发展。

Garbage sorting is one of the important issues in modern urban management.In order to solve the problems caused by the increasing amount of household waste,this paper proposes an intelligent garbage classification system based on image recognition.This system combines the latest garbage classification standards and specifications,and uses the Baidu Artificial Intelligence(Al)framework and artificial intelligence image recognition technology to compare with data in the database,which can quickly and accurately identify and classify garbage.At the same time,by incorporating Tencent Map's positioning system into the design system,it helps users query nearby garbage collection sites and locate them.The construction of this platform has positive significance in improving the accuracy of users'garbage classification and recognition,and has important practical significance in urban management and environmental protection,further promoting the development of garbage classification.