Evaluation of complex copper ore sorting: Effect of optical filtering on particle recognition

Gülcan, Ergin; Gülsoy, Özcan Y.

doi:10.1016/j.mineng.2018.08.001

Cited by 14 publications

(10 citation statements)

References 19 publications

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Section: Environmental Problems Of the Formation Of Mine Tailingsmentioning

confidence: 99%

Recycling Strategies of Mine Tailing, with Environmental, Safety, Technical and Materials Considerations

Araujo¹,

Llano²,

Fantucci³

et al. 2022

Preprint

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Mining is an important industry that provides products and services through infrastructure systems worldwide. However, the global development promotes the steady growth and accelerated demand for minerals, resulting in the accumulation of hazardous waste in land, sea and air environments and, consequently a series of environmental and health problems. Restoration techniques from mining tailing have become increasingly discussed among scholars due to their potential to offer benefits over reducing tailings levels, thereby reducing environmental pressure for the correct management and adding value to previously discarded waste. This review paper critically explores available literature on the main techniques of mining tailing recycling, and discusses leading recycling technologies, including the advantages and drawbacks, as well as future perspectives. The findings of this review contribute as a reference for scholars as well as support for decisionmakers concerning the related environmental issues.

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Section: Environmental Problems Of the Formation Of Mine Tailingsmentioning

confidence: 99%

Recycling Strategies of Mine Tailing, with Environmental, Safety, Technical and Materials Considerations

Araujo¹,

Llano²,

Fantucci³

et al. 2022

Preprint

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“…Therefore, the implementation of an optical separator, being applied in recent years, brings several benefits: separation is fast, simple, malleable, economical, and a less polluting process [25]. Previously, authors such as Gülcan & Gülsoy (2018) [26], reviewed and validated the viability of mineral analysis by VIS (visible light, color) and NIR (near infrared) classification. Making the two previous ones, the most used techniques in the classification of minerals, because they present advantages at the time of clearly observing the spectra of VIS and NIR wavelengths and therefore, the molecular and crystalline structures of the minerals.…”

Section: Environmental Problems Of the Formation Of Mine Tailingsmentioning

confidence: 99%

Recycling strategies of mine tailing, and its technical and practical considerations

Araujo¹,

Llano²,

Fantucci³

et al. 2022

Preprint

View full text Add to dashboard Cite

Mining is an important industry that provides products and services through infrastructure systems worldwide. However, the global development promotes the steady growth and accelerated demand for minerals, resulting in the accumulation of hazardous waste in land, sea and air environments and, consequently a series of environmental and health problems. Restoration techniques from mining tailing have become increasingly discussed among scholars due to their potential to offer benefits over reducing tailings levels, thereby reducing environmental pressure for the correct management and adding value to previously discarded waste. This review paper critically explores available literature on the main techniques of mining tailing recycling, and discusses leading recycling technologies, including the benefits and limitations, as well as emerging prospects. The findings of this review serve as a supporting reference for decision-makers concerning the related sustainability issues associated with mining, mineral processing and solid waste management.

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“…4. When using line-scanning sensors, several lines recorded at consecutive time points are merged in order to obtain a 2D image [44]. Hence, over time, an image of infinite length is formed.…”

Section: A Predictive Real-time Multiobject Trackingmentioning

confidence: 99%

Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking

Maier

Pfaff

Pieper

et al. 2021

IEEE Trans. Ind. Electron.

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Sensor-based sorting is a machine vision application that has found industrial application in various fields. An accept-or-reject task is executed by separating a material stream into two fractions. Current systems use line-scanning sensors, which is convenient as the material is perceived during transportation. However, line-scanning sensors yield a single observation of each object and no information about their movement. Due to a delay between localization and separation, assumptions regarding the location and point in time for separation need to be made based on the prior localization. Hence, it is necessary to ensure that all objects are transported at uniform velocities. This is often a complex and costly solution. In this paper, we propose a new method for reliably separating particles at non-uniform velocities. The problem is transferred from a mechanical to an algorithmic level. Our novel advanced image processing approach includes equipping the sorter with an area-scan camera in combination with a real-time multiobject tracking system, which enables predictions of the location of individual objects for separation. For the experimental validation of our approach, we present a modular sorting system, which allows comparing sorting results using a line-scan and area-scan camera. Results show that our approach performs reliable separation and hence increases sorting efficiency. Index Terms-Automated visual inspection, machine vision, real-time multiobject tracking, sensor-based sorting.

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Evaluation of complex copper ore sorting: Effect of optical filtering on particle recognition

Cited by 14 publications

References 19 publications

Recycling Strategies of Mine Tailing, with Environmental, Safety, Technical and Materials Considerations

Recycling Strategies of Mine Tailing, with Environmental, Safety, Technical and Materials Considerations

Recycling strategies of mine tailing, and its technical and practical considerations

Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking

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