Hyperspectral imaging applied to demolition waste recycling: innovative approach for product quality control

Serranti, Silvia; Palmieri, Roberta; Bonifazi, Giuseppe

doi:10.1117/1.jei.24.4.043003

Cited by 32 publications

(16 citation statements)

References 21 publications

(13 reference statements)

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“…TQM approaches are therefore considered in maintaining the quality of RLSC to provide value-added and custom-oriented products (Nikolaidis, 2012;Das and Chowdhury, 2012). However, Serranti et al (2015) stated that QC and QA should be initiated with identified quality parameters when building dismantling and salvaging, to overcome the significant knowledge gaps.…”

Section: Quality Conceptmentioning

confidence: 99%

Information-based quality management in reverse logistics supply chain

Jayasinghe

Chileshe

Rameezdeen

2019

BIJ

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Purpose The purpose of this paper is to explore the synergies among reverse logistics supply chain (RLSC), quality management (QM) and information management (IM) concepts to enhance the effectiveness of demolition waste management (DWM) practices. Design/methodology/approach A systematic literature review was conducted using 70 articles published between the years of 2006 and 2017, which were subjected to descriptive and thematic analysis. Findings The descriptive analysis established that the RLSC concept was dealt within the majority of the publications (61 per cent), followed by concepts related to quality in RLSC (24 per cent). Only 14 per cent of the articles were based on IM concepts related to RLSC. Quality and information are interrelated in the effective implementation of RLSC. The thematic analysis demonstrated that there is a need for using quality parameters in a regulatory environment in an information-based environment. Based on the findings, future research directions were developed. Research limitations/implications The study encourages researchers to identify novel directions by combining these three concepts. The study developed a future research agenda regarding use of building information modelling (BIM) for existing buildings under novel technologies; analysis of secondary market demand and supply; and assessment of cost and safety management with quality in a BIM-enabled environment. Practical implications The practical implications include the application of sustainable management principles based on stakeholders and the regulatory environment. Originality/value Integration of the three concepts is an emerging area. This integration developed a robust approach to achieve QM in RLSC operations under a sound information flow enabling the optimisation of DWM.

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Section: Quality Conceptmentioning

confidence: 99%

Information-based quality management in reverse logistics supply chain

Jayasinghe

Chileshe

Rameezdeen

2019

BIJ

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“…In recent years, the use of NIR-HSI has grown rapidly in many sectors, including the solid waste sector . In literature, different HSI-based approaches are proposed for plastic recycling (Ulrici et al, 2013;Bonifazi et al, 2015), construction and demolition waste recycling (Palmieri et al, 2014;Serranti et al, 2015;Bonifazi et al, 2015;Bonifazi et al, 2017;Bonifazi et al, 2018c) and WEEE recycling (Palmieri et al, 2014;Bonifazi et al 2018b).…”

Section: Hyperspectral Imagingmentioning

confidence: 99%

Hierarchical modelling for recycling-oriented classification of shredded spent flat monitor products based on HyperSpectral Imaging

et al. 2020

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The number of flat monitors from televisions, notebooks and tablets has increased dramatically in recent years, thus resulting in a corresponding rise in Waste from Electrical and Electronic Equipment (WEEE). This fact is linked to the production of new high-performance electronic devices. Taking into account a future volume growth trend of WEEE, the implementation of adequate recycling architectures embedding recognition/classification logics to handle the collected WEEE physical-chemical attributes, is thus necessary. These integrated hardware and software architectures should be efficient, reliable, low cost, and capable of performing detection/control actions to assess: i) WEEE composition and ii) physical-chemical attributes of the resulting recovered flow streams. This information is fundamental in setting up and implementing appropriate recycling actions. In this study, a hierarchical classification modelling approach, based on Near InfraRed (NIR) - Hyperspectral Imaging (HSI), was carried out. More in detail, a 3-step hierarchical modelling procedure was designed, implemented and set up in order to recognize different materials present in a specific WEEE stream: End-of-Life (EoL) shredded monitors and flat screens. By adopting the proposed approach, different categories are correctly recognized. The results obtained showed how the proposed approach not only allows the set up of a “one shot” quality control system, but also contributes towards improving the sorting process.

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“…The white image (W) is acquired by adopting a standard white ceramic tile under the same conditions as the raw image. Then, image correction is performed by [12],…”

Section: Basic Data Normalizationmentioning

confidence: 99%

Sequential Classification of Hyperspectral Images

Zhao¹,

Chen²

2018

Hyperspectral Imaging in Agriculture, Food and Environment

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Hyperspectral imaging has become increasingly popular in applications such as agriculture, food, and environment. Rich spectral information of hyperspectral images leads to new possibilities and new challenges in data processing. In this chapter, we consider the hyperspectral classification problems in consideration of sequential data collection, which is a frequent setting in industrial pushboom imaging systems. We present related techniques including data normalization, dimension reduction, classification, and spatial information integration and the way to accommodate these techniques to the context of sequential data collecting and processing. The propose scheme is validated with real data collected in our laboratory. The methodology of result assessment is also presented.

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Hyperspectral imaging applied to demolition waste recycling: innovative approach for product quality control

Cited by 32 publications

References 21 publications

Information-based quality management in reverse logistics supply chain

Information-based quality management in reverse logistics supply chain

Hierarchical modelling for recycling-oriented classification of shredded spent flat monitor products based on HyperSpectral Imaging

Sequential Classification of Hyperspectral Images

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