Hyperspectral Imaging for Raw Material Sorting and Processed Product Quality Control

García-Allende, P. Beatriz; Conde, Olga M.; López‐Higuera, José Miguel

doi:10.5772/15740

Cited by 3 publications

(2 citation statements)

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“…Starting from the developed HSI based platform, new applications can be thus implemented and/or optimized with minimum development and/or investments efforts, assuring, at the same time, flexibility, maintainability and a solid waste products and/or materials full characterization. The HSI based sensing units can be assumed as the keystone [2] allowing the implementation/integration of innovative logics, algorithms and procedures in the framework of solid waste processing.…”

Section: Introductionmentioning

confidence: 99%

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Quality control by HyperSpectralImaging(HSI) in solid waste recycling: logics, algorithms and procedures

Bonifazi

Serranti

2014

SPIE Proceedings

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In secondary raw materials and recycling sectors, the products quality represents, more and more, the key issue to pursuit in order to be competitive in a more and more demanding market, where quality standards and products certification play a preheminent role. These goals assume particular importance when recycling actions are applied. Recovered products, resulting from waste materials, and/or dismissed products processing, are, in fact, always seen with a certain suspect. An adequate response of the industry to the market can only be given through the utilization of equipment and procedures ensuring pure, high-quality production, and efficient work and cost. All these goals can be reached adopting not only more efficient equipment and layouts, but also introducing new processing logics able to realize a full control of the handled material flow streams fulfilling, at the same time, i) an easy management of the procedures, ii) an efficient use of the energy, iii) the definition and set up of reliable and robust procedures, iv) the possibility to implement network connectivity capabilities finalized to a remote monitoring and control of the processes and v) a full data storage, analysis and retrieving. Furthermore the ongoing legislation and regulation require the implementation of recycling infrastructure characterised by high resources efficiency and low environmental impacts, both aspects being strongly linked to the waste materials and/or dismissed products original characteristics. For these reasons an optimal recycling infrastructure design primarily requires a full knowledge of the characteristics of the input waste. What previously outlined requires the introduction of a new important concept to apply in solid waste recycling, the recycling-oriented characterization, that is the set of actions addressed to strategically determine selected attributes, in order to get goaloriented data on waste for the development, implementation or improvement of recycling strategies. The problems arising when suitable HyperSpectral Imaging (HSI) based procedures have to be developed and implemented to solid waste products characterization, in order to define time efficient compression and interpretation techniques, are thus analyzed and discussed in the following. Particular attention was also addressed to define an integrated hardware and software (HW&SW) platform able to perform a non-intrusive, non-contact and real-time analysis and embedding a core of analytical logics and procedures to utilize both at laboratory and industrial scale. Several case studies, referred to waste plastics products, are presented and discussed.

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Section: Introductionmentioning

confidence: 99%

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Quality control by HyperSpectralImaging(HSI) in solid waste recycling: logics, algorithms and procedures

Bonifazi

Serranti

2014

SPIE Proceedings

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Chemical imaging: An innovative tool for particulate matter characterization and sorting

Bonifazi

Serranti

2015

Particulate Science and Technology

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A fast, reliable, and low-cost characterization of particulate products as fed to a process, and/or resulting from different processing actions, represents one of the most challenging targets in the particulate solids handling sector. An adequate response of the industry to the market can only be given through the utilization of equipment and procedures ensuring pure, high-quality production, and efficient work and cost. All these goals can be reached by adopting not only more efficient equipment and layouts, but also by introducing new processing logics able of realizing full control of the flow stream characteristics of the handled material. Today, thanks to strong technological development, different techniques are available according to different sampling strategies and analytical principles to detect specific physicochemical attributes of particles. These represent the key factor in performing full process monitoring and/or applying specific control/tuning actions to the process itself. In this paper the principles and possibilities offered by the adoption of specialized devices allowing the development of online acquisition/processing strategies, based on chemical (or hyperspectral) imaging and finalized to perform particulate solid stream characterization, inspection, and quality control actions, are investigated and discussed

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Multiscale photonics for precision agriculture

Baerdemaeker

2013

SPIE Proceedings

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Hyperspectral Imaging for Raw Material Sorting and Processed Product Quality Control

Cited by 3 publications

References 48 publications

Quality control by HyperSpectralImaging(HSI) in solid waste recycling: logics, algorithms and procedures

Quality control by HyperSpectralImaging(HSI) in solid waste recycling: logics, algorithms and procedures

Chemical imaging: An innovative tool for particulate matter characterization and sorting

Multiscale photonics for precision agriculture

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