Structural Mapping
AI structural mapping captures pit-wall point clouds in Maptek PointStudio or CSIRO's Sirovision, then extracts joint orientation and spacing automatically.
AI structural mapping captures pit-wall point clouds in Maptek PointStudio or CSIRO's Sirovision, then extracts joint orientation and spacing automatically.
SWIR mineral analysis scans core with Corescan's HCI or a portable ASD TerraSpec, then feeds the spectra into clay, alteration and ore sorting ML models.
Tailings dam monitoring with AI: fuse ground radar (GroundProbe), wireless sensors (Worldsensing) and satellite InSAR, then flag failure with deep learning.
AI tailings management: unify GroundProbe radar, piezometers and satellite InSAR in one platform to run the facility on live data from design to closure.
AI thickener control applies model-predictive or reinforcement-learning control to flocculant dosing, through APC platforms like ABB, Metso or Imubit.
Concentrate shipment tracking with Kpler or Wood Mackenzie Lens, which fuse AIS satellite data and ML analytics for real-time vessel and cargo visibility.
AI doesn't write water management plans yet, but satellite InSAR, drone photogrammetry and sensor fusion can feed them near-real-time evidence.
Mine water quality monitoring runs on mature sondes like YSI EXO and In-Situ. AI anomaly detection on that data is still emerging, so expect to build it.
Water quality testing at mines still runs through standard lab LIMS; the AI layer is a custom anomaly-detection model built on your own monitoring data.
XRD analysis runs on Rietveld tools like HighScore Plus or GSAS-II; CNN models now identify mineral phases far faster, which suits large sample batches.