BinWare: Intelligent Waste Segregation Using Machine Learning, Image Processing and IoT

Aggarwal, Shruti; Verma, Anil; Kashyap, Kunal; Dhawan, Nitesh; Kalra, Sachin; Bansal, Mayank

doi:10.1109/ictacs56270.2022.9987753

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Cited by 2 publications

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“…An automated clustered mixed waste maintenance system model was created to lay the groundwork for fully automated waste management systems. The mobility and sweeping mechanism of the machine were controlled using a wireless link [17]. A model for solid waste management was created with an emphasis on the collection and separation stages.…”

Section: Introductionmentioning

confidence: 99%

Eco-Friendly Waste Management: A Segregation and Composting System for Domestic Use

Nishanth M A,

Mahiban J

et al. 2024

E3S Web of Conf.

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The proper disposal of home garbage has recently emerged as a pressing issue on a global scale. Also, the city government has been trying to get people to separate their dry and moist trash. But there is still a problem with trash management and a big domestic population that isn’t helping out. This paper details the process of creating a waste management system that separates organic kitchen trash into dry and moist categories. Both models are part of the proposed system: The first step is to design a bin that can separate dry and moist trash. Additionally, a composting facility is showcased for the purpose of transforming organic waste into compost. Twenty homes’ worth of garbage was fed into the suggested model, and the results show promise for trash segregation and composting.

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Section: Introductionmentioning

confidence: 99%