Intelligent Garbage Classification Mechanism Based on Image Recognition

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI:10.1109/ICTech55460.2022.00102

Miaoyun Feng, Juanjuan Li, Junyue He, Zeyu Feng, Yuhan Liu, Haochuan Li, Yuwei Zhou, Hao Wang

{"title":"Intelligent Garbage Classification Mechanism Based on Image Recognition","authors":"Miaoyun Feng, Juanjuan Li, Junyue He, Zeyu Feng, Yuhan Liu, Haochuan Li, Yuwei Zhou, Hao Wang","doi":"10.1109/ICTech55460.2022.00102","DOIUrl":null,"url":null,"abstract":"In order to assist residents in garbage classification in public places, a user-friendly intelligent garbage classification mechanism based on image recognition, which can identify the type of garbage by itself, was invented after being designed and tested for many times. Functions and devices like full-load detection, sterilization, temperature monitoring, touchable display, universal wheel with brake were added. Stepping on the pedal to wake up it can effectively reduce the power consumption and the burden of main control module. Double slide rails can reduce the resistance of spinning delivery container so as to insure the stability of running steering engine. Homemade core board matched with flat cable guarantees the security of the circuit. The combination of standard parts and 3D printing allows the mechanism to be modularly loaded or unloaded, making it easier to maintain. Finally, we managed to realize the practical application of intelligent garbage classification mechanism, with the recognition accuracy reaching 98.67%.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference of Information and Communication Technology (ICTech))","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTech55460.2022.00102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

In order to assist residents in garbage classification in public places, a user-friendly intelligent garbage classification mechanism based on image recognition, which can identify the type of garbage by itself, was invented after being designed and tested for many times. Functions and devices like full-load detection, sterilization, temperature monitoring, touchable display, universal wheel with brake were added. Stepping on the pedal to wake up it can effectively reduce the power consumption and the burden of main control module. Double slide rails can reduce the resistance of spinning delivery container so as to insure the stability of running steering engine. Homemade core board matched with flat cable guarantees the security of the circuit. The combination of standard parts and 3D printing allows the mechanism to be modularly loaded or unloaded, making it easier to maintain. Finally, we managed to realize the practical application of intelligent garbage classification mechanism, with the recognition accuracy reaching 98.67%.

查看原文本刊更多论文

基于图像识别的智能垃圾分类机制

为了帮助居民在公共场所进行垃圾分类，经过多次设计和测试，发明了一种基于图像识别的用户友好型智能垃圾分类机制，该机制可以自动识别垃圾的种类。增加了满负荷检测、灭菌、温度监测、触摸屏显示、带制动万向轮等功能和装置。通过踩踏板唤醒，可以有效降低功耗和主控模块的负担。采用双滑轨，可减小输送容器旋转阻力，保证舵机运行的稳定性。自制芯板，配扁平电缆，保证电路的安全。标准部件和3D打印的结合使该机构可以模块化地加载或卸载，使其更易于维护。最终实现了智能垃圾分类机制的实际应用，识别准确率达到98.67%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2022 11th International Conference of Information and Communication Technology (ICTech))

自引率

0.00%

发文量