常见固体垃圾识别系统研究  

Research on Common Solid Waste Identification System

作　　者：黄明辉 衡秋阳 黄婧婷 李嘉萌 HUANG Minghui;HENG Qiuyang;HUANG Jingting;LI Jiameng(School of Infomation Engineering,Wuhan Business University,Wuhan,Hubei,430058)

机构地区：[1]武汉商学院信息工程学院,湖北武汉430058

出　　处：《长江信息通信》2024年第5期92-94,共3页Changjiang Information & Communications

基　　金：武汉商学院2022年度大学生创新创业项目“基于Dropout优化神经网络的多级智能垃圾分拣回收站”(项目编号:202211654056)资助。

摘　　要：随着城市的不断发展,垃圾问题也成为城市管理部门急待解决的问题之一,为了更加方便快捷的处理城市垃圾,文章提出了基于STM32的常见固体垃圾设计。该设备可以自动分辨垃圾种类,进行自动分类,同时还具有远程监控和数据传输的功能。使用STM32作为主控芯片,以图像识别技术为核心,设计出一套完整的系统。实验结果表明,该系统能够快速、准确地分类垃圾,并且通过无线网络将数据传输到云端进行处理,实现了对城市垃圾的智能化处理,以及资源的合理利用。With the rapid urbanization,waste management has emerged as a critical issue for mu-nicipal authorities.To address the challenge more effectively and efficiently,the study proposes an intcgrated solid wastc design based on STM32 tcchnology.The system cnables automatic i-dentification and classification of various types of garbage,while also providing remote monito-ring and data transmission capabilities.By utilizing STM32 as the primary control chip and le-veraging image recognition technology at its core,a comprehensive solution is developed.Exper-imental results demonstrate that the system can swiftly and accurately classify garbage,wirelessly transmitting data to cloud platforms for processing purposes,thereby facilitating intelligent mu-nicipal waste treatment and resource optimization.

关 键 词：STM32 垃圾分类 图像识别 OpenMV 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]