Smart Waste Segregation

G. Sanathkumar, K. Nagesh, Guruprasad Hadimani, Laxman, B. R. Charanraj, Prasad B. Honnavalli
{"title":"Smart Waste Segregation","authors":"G. Sanathkumar, K. Nagesh, Guruprasad Hadimani, Laxman, B. R. Charanraj, Prasad B. Honnavalli","doi":"10.1109/R10-HTC53172.2021.9641526","DOIUrl":null,"url":null,"abstract":"The amount of waste generated is increasing at a rapid rate. This is due to the growth in population which in turn leads to urbanization and economic development. According to an estimate, the world generates 2.01 billion tonnes of solid waste annually. By 2050, the expected growth in the amount of waste generated will be increased to 3.04 billion. Many countries, at present are facing lots of issues regarding the proper collection, segregation, and disposal of the solid waste generated. Improper methods adopted for the same can lead to various environmental hazards and can impact the health of the inhabitants. The economic value of waste is realized only after it is segregated. As the slogan states “Recycle today, for a better tomorrow”, the most important step in recycling waste is its proper segregation. This is better utilized if the segregation is at the source itself. In the present scenario, there is no one-stop solution that segregates solid waste into categories such as glasses, plastics, metals, and wet waste at the source of their generation itself. Most of the solid waste namely, glass and plastics are recyclable. Therefore, the proposed solution aims to segregate the wastes into the aforementioned categories with the help of various sensors available and automate the process of segregation, thereby reducing the manpower required for segregation which in turn reduces the occupational hazards of the manual workers.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/R10-HTC53172.2021.9641526","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

The amount of waste generated is increasing at a rapid rate. This is due to the growth in population which in turn leads to urbanization and economic development. According to an estimate, the world generates 2.01 billion tonnes of solid waste annually. By 2050, the expected growth in the amount of waste generated will be increased to 3.04 billion. Many countries, at present are facing lots of issues regarding the proper collection, segregation, and disposal of the solid waste generated. Improper methods adopted for the same can lead to various environmental hazards and can impact the health of the inhabitants. The economic value of waste is realized only after it is segregated. As the slogan states “Recycle today, for a better tomorrow”, the most important step in recycling waste is its proper segregation. This is better utilized if the segregation is at the source itself. In the present scenario, there is no one-stop solution that segregates solid waste into categories such as glasses, plastics, metals, and wet waste at the source of their generation itself. Most of the solid waste namely, glass and plastics are recyclable. Therefore, the proposed solution aims to segregate the wastes into the aforementioned categories with the help of various sensors available and automate the process of segregation, thereby reducing the manpower required for segregation which in turn reduces the occupational hazards of the manual workers.
智能废物分类
产生的废物数量正在迅速增加。这是由于人口的增长,人口的增长又导致了城市化和经济的发展。据估计,全世界每年产生20.1亿吨固体废物。到2050年,预计产生的废物量将增加到30.4亿。目前,许多国家都面临着许多关于正确收集、分类和处理所产生的固体废物的问题。为此采取的不当方法可能导致各种环境危害,并可能影响居民的健康。废物的经济价值只有经过分类才能实现。正如口号所说的“今天回收,明天更美好”,回收废物最重要的一步是适当的分类。如果隔离是在源本身,则可以更好地利用这一点。在目前的情况下,没有一站式的解决方案可以将固体废物从产生的源头分成玻璃、塑料、金属和湿废物等类别。大多数固体废物,即玻璃和塑料是可回收的。因此,提出的解决方案旨在借助各种可用的传感器将废物分类为上述类别,并使隔离过程自动化,从而减少隔离所需的人力,从而减少体力劳动者的职业危害。
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信