Assessment of solid waste collection system – A case study in Hai Chau district, Danang city, Vietnam

Dinh, Cuong Le; Phu, Song Toan Pham; Fujiwara, Takeshi; Phan, Tra Qui

doi:10.1109/atigb56486.2022.9984120

Cited by 1 publication

(1 citation statement)

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“…Solid waste pollution can originate in different places such ashomes, industries, agriculture, shops, hospitals and constructions [10], being the homes the ones that waste the greatest amount of solid waste, representing more than 50% [11], forcing plastics companies to look for solutions to change their conventional manufacturing materials to biodegradable for rapid decomposition [12],allowing humanity, given little concern for recycling, to be solid waste that biodegrades on its own with the help of natural chemical elements [13]. Although it should be noted that the change of manufacturing material by companies from plastics to biodegradable materials is a long process that will take many years to carry out, so the progressive negative impact on the ecosystem will continue to be affected by conventional plastics [14].…”

Section: Introductionmentioning

confidence: 99%

Image Processing System for the Detection of Recyclable Solid Waste

Meneses-Claudio¹,

Muñoz²,

Huamaní³

et al. 2023

IJETAE

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One of the problems that affects everyone is solid waste pollution, which has spread to various parts of the surface and has put the planet in trouble because of the enormous amount of waste that has accumulated over time, affecting the habitats of various marine and terrestrial animals. These damages on the environment, reflect the lack of culture human about recycling, just 10% worldwide recyclemore frequently in homes. Nowadays, the change of materials to biodegradable has been made so that their decomposition is early, accumulations of recyclable materials are still observed in various parts of the surface and observing that it does not solve the contamination. With the exposure of this problem, this article developed an image processing system for the detection of recyclable solid waste that through an automatic analysis will allow the identification of recyclable solid waste materials, such as plastic, cardboard and glass bottles, helping to detect those solid waste that canbe reuse and avoid accumulation of them per ton. Through its development, it was observed that the system identifies the various recyclable materials that are distributed throughout the street with an efficiency of 97.99%, standing out for its efficiency and precision in the analysis of recyclable materials.

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