i-BIN: An Intelligent Trash Bin for Automatic Waste Segregation and Monitoring System

Miko Pamintuan, Shiela Mae Mantiquilla, Hillary Reyes, M. Samonte
{"title":"i-BIN: An Intelligent Trash Bin for Automatic Waste Segregation and Monitoring System","authors":"Miko Pamintuan, Shiela Mae Mantiquilla, Hillary Reyes, M. Samonte","doi":"10.1109/HNICEM48295.2019.9072787","DOIUrl":null,"url":null,"abstract":"In the recent years, one of the underlying effects of a growing population is environmental hazard. Of these problems, the increasing amount of trash is the most critical. As the world's population continues to rise at an unprecedented rate, waste management is seen as an effective solution to mitigate the issue. In this project, Internet-of- Things were utilized to design an automatic waste segregation system. Specifically, we developed a trash bin equipped with sensors, which can intelligently segregate waste system that provides monitoring report of waste collection. Image recognition was used to process automatic classification of trash using machine learning technique. Upon training more than 2000 samples for biodegradable and non-biodegradable waste, the developed prototyped were able to classify trash efficiently.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"112 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM48295.2019.9072787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

In the recent years, one of the underlying effects of a growing population is environmental hazard. Of these problems, the increasing amount of trash is the most critical. As the world's population continues to rise at an unprecedented rate, waste management is seen as an effective solution to mitigate the issue. In this project, Internet-of- Things were utilized to design an automatic waste segregation system. Specifically, we developed a trash bin equipped with sensors, which can intelligently segregate waste system that provides monitoring report of waste collection. Image recognition was used to process automatic classification of trash using machine learning technique. Upon training more than 2000 samples for biodegradable and non-biodegradable waste, the developed prototyped were able to classify trash efficiently.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
i-BIN:一种用于垃圾自动分类与监控的智能垃圾桶
近年来,人口增长的潜在影响之一是环境危害。在这些问题中,不断增加的垃圾数量是最关键的。随着世界人口继续以前所未有的速度增长,废物管理被视为缓解这一问题的有效解决方案。本课题利用物联网技术设计了一个垃圾自动分类系统。具体来说,我们开发了一个装有传感器的垃圾桶,它可以智能分类垃圾,并提供垃圾收集的监控报告。采用图像识别技术,利用机器学习技术对垃圾进行自动分类。经过对2000多个可生物降解和不可生物降解垃圾样本的训练,开发的原型能够有效地对垃圾进行分类。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Innovations on Advanced Transportation Systems for Local Applications An Aquaculture-Based Binary Classifier for Fish Detection using Multilayer Artificial Neural Network Design and Analysis of Hip Joint DOFs for Lower Limb Robotic Exoskeleton Sum of Absolute Difference-based Rate-Distortion Optimization Cost Function for H.265/HEVC Intra-Mode Prediction Optimization and drying kinetics of the convective drying of microalgal biomat (lab-lab)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1