{"title":"Smart Waste Management Using Deep Learning with IoT","authors":"Jobin Joseph","doi":"10.30534/IJNS/2019/10832019","DOIUrl":null,"url":null,"abstract":"The emerging rise in the population and urbanisation alarms the nation for its environment safety. The incorrect handling and waste disposal will cause immense threat to these growing cities. Therefore, it has raised the need for proper waste collection and classification of wastes with proper disposal. The current waste disposal system in India consists of unclassified and unorganized wastes collected and then segregated at different stations[7]. This segregation done by manual labour forces can bring health related issues to the waste sorters and also being less efficient, time consuming and not completely feasible due to their large amount. This paper proposes a solution that can identify and classify the waste and organize it into the particular waste bin (recyclable, organic and harmful wastes) without any human hand. The system uses deep learning algorithms to identify and classify the wastes into particular category; the categorized recycled and organic wastes can be used for future better purposes. This process will help the environment in making more valuable and ecologically safe and help us to make rich green ecosystem and a promising better future.","PeriodicalId":45170,"journal":{"name":"International Journal of Communication Networks and Distributed Systems","volume":"39 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2019-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Communication Networks and Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30534/IJNS/2019/10832019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 4
Abstract
The emerging rise in the population and urbanisation alarms the nation for its environment safety. The incorrect handling and waste disposal will cause immense threat to these growing cities. Therefore, it has raised the need for proper waste collection and classification of wastes with proper disposal. The current waste disposal system in India consists of unclassified and unorganized wastes collected and then segregated at different stations[7]. This segregation done by manual labour forces can bring health related issues to the waste sorters and also being less efficient, time consuming and not completely feasible due to their large amount. This paper proposes a solution that can identify and classify the waste and organize it into the particular waste bin (recyclable, organic and harmful wastes) without any human hand. The system uses deep learning algorithms to identify and classify the wastes into particular category; the categorized recycled and organic wastes can be used for future better purposes. This process will help the environment in making more valuable and ecologically safe and help us to make rich green ecosystem and a promising better future.
期刊介绍:
IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.