ORES will automate the sampling process of potash, uranium, and other ores, providing comprehensive, real-time analysis of ore composition and quality, Metaspectral said. The technology uses artificial intelligence (AI) to analyze data from hyperspectral sensors placed along conveyor belts that move the ores, allowing for continuous, non-contact, non-destructive analysis.
“Our integrated software platform can provide immediate information to operators about ore quality and composition. This can guide early decision-making in the milling process and make it possible to identify and select only ores of a predetermined grade for processing,” CEO Francis Doumet said in a media statement.
“Enabling the selective processing of ores makes it possible to reduce costs and lessen environmental impact, using less water and energy, while producing fewer tailings and less waste.”
This comprehensive level of analysis is not possible…
