Abstract
According to the Press Information Bureau, India
generates 62 million tonnes of waste (both recyclable and nonrecyclable waste) annually. Landfill waste ranks third in terms of
greenhouse gas emissions in India. To reduce this issue, we have
come up with an idea using IOT and ML, that helps segregate
waste into biodegradable and non-biodegradable. The fast growth
in the amount and varieties of solid and hazardous waste due to
burgeoning growth, industrialization, and urbanization, is
becoming a growing hassle for the countries and national
governments to heed to the powerful and sustainable
management of waste. We have come up with an option to tackle
this trouble from a lower level. We have centred our efforts to
construct a smart bin exclusively for household purposes. Using
a smart bin, we have a manner of identifying non-biodegradable
and biodegradable waste with the assist of sensors and ML
models built for figuring out the type of waste. The biodegradable
waste is saved in its section of the bin and the non-biodegradable
waste is further divided into landfill waste and recyclable waste.
Since segregation on a large scale is hard to manage due to the
cost and inaccuracies working at that scale. The smart bin should
be able to solve these issues by segregating early rather than
trying to segregate it at a larger scale.
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science
Cited by
2 articles.
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1. SKIDS: An Object Classification and Smart Communication based Waste Bin;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03
2. Ingenious Waste Management: Implementing Machine Learning in Waste Segregation;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05