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Copper ore grading

Problem

Currently, estimations of copper extraction yield from copper ore can only be established after the smelting process is completed.

Solution

The grading and sorting of copper ores according to their copper content using quantitative Chemical Imaging allows for precise yield prediction. Transferring reference analytical information into the production line enables the prediction of the amount of copper in the input stream present. It is, thus, possible to predict the percentage of copper metal contained in the product stream at the very beginning of the line.

Copper extraction from copper ore is described here in more detail: https://en.wikipedia.org/wiki/Copper_extraction

Copper ore

Gangue
Copper ores

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Technology

Near Infrared Hyperspectral Imaging offers the degree of classification accuracy necessary for mining applications, by directly measuring the chemical molecular composition through the absorption of light (spectroscopy).

EVK’s portfolio of sensor-based sorting technology includes Colour, Hyperspectral and Inductive sensor systems, which can be used individually or, with Sensor- Fusion, can be combined to form a powerful sorting application that can process multiple material types.

Hyperspectral Cameras
Data Analysis Tools