Advanced sensing
Grade control sensors such as XRF, XRD, LIBS and hyperspectral scanners rely on AI calibration software to turn raw spectra into grade and mineralogy.
Grade control sensors such as XRF, XRD, LIBS and hyperspectral scanners rely on AI calibration software to turn raw spectra into grade and mineralogy.
Automated ore sampling replaces scoop-and-bag work with sensor-equipped shovels, robotic prep lines feeding inline XRF, and instrumented rigs like BLASTDOG.
AI-assisted bench slope design uses ML models to generate rock-mass inputs like dip and dip-direction, then runs factor-of-safety analysis in RocScience.
AI blasthole logging today mostly means AI-driven drilling: Hexagon Drill Assist sets drill parameters automatically from live rig-sensor data as it drills.
Automate geometallurgical reports with Cancha, a geometallurgy platform that combines sample selection, predictive modelling and reporting in one workflow.
Geometallurgical reconciliation with AI feeds actual mill results back into Work Index and geomet block models, as Tropicana Gold Mine does near real time.
Geotechnical monitoring with AI runs slope radar (IDS GeoRadar) and satellite InSAR (SkyGeo) through ML layers so wall-failure warnings surface early.
Automate geotechnical reports by connecting Power BI or Tableau to your live geotechnical block model and monitoring feeds, so they regenerate on their own.
AI-generated mine monitoring reports come built into slope radar and InSAR platforms like IDS GeoRadar and SkyGeo, produced straight from live sensor data.
AI structural mapping captures pit-wall point clouds in Maptek PointStudio or CSIRO's Sirovision, then extracts joint orientation and spacing automatically.