Design of an embedded based control system for efficient sorting of waste plastics using Near Infrared Spectroscopy

Kumar, Lov; Pavan, B.V.V.S.R.K.K; Kalyan, Pavan; Paul, Nirmal Savio; Prakruth, R. S.; Chinnu, T.

doi:10.1109/conecct.2014.6740338

Cited by 7 publications

(1 citation statement)

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“…In [30], an effective segregation system has been developed for the separation of different types of plastics. The concepts of NIR spectroscopy and multivariate analysis have been used, designed and implemented using the Raspberry Pi system to segregate the plastics.…”

Section: Some Developments In the International Environmentmentioning

confidence: 99%

Smart Ecological Points, a Strategy to Face the New Challenges in Solid Waste Management in Colombia

Vesga Ferreira,

Sepulveda,

Perez Waltero

2023

Preprint

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The management and classification of solid waste is one of the most important challenges around the world, in order to sustain economic growth and preserve the environment. The objective is to propose the use of Smart Ecological Points as a strategy to address the problem related to the solid waste management system at the source, which has become one of the biggest problems globally and Colombia is no exception. The article describes the current state of the problem in the country and in turn, presents the possibility of developing a prototype corresponding to a low-cost Smart Ecological Point supported by the use of an experimental capacitive sensor and Machine Learning algorithms, which will reduce the time necessary for the classification of recyclable and non recyclable waste, minimizing the health risks and increasing the percentage of waste that can be reused, by reducing the probability of being contaminated at the source, an aspect that is very common when done manually. According to the results obtained, it was evident that the proposed prototype made an adequate classification of waste, generating the possibility of being manufactured with existing technology in the environment, in order to promote adequate waste classification at the source.

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Section: Some Developments In the International Environmentmentioning

confidence: 99%