AI-Optimized Ore Blending, Stockpile & Plant Feed Strategy
Ore blending optimization with AI: layer MineMax or Deswik Blend, BOLT and GO on your systems to set stockpile, plant feed and blend targets continuously.
Ore blending optimization with AI: layer MineMax or Deswik Blend, BOLT and GO on your systems to set stockpile, plant feed and blend targets continuously.
Airborne geophysics with AI: process TMI, gravity and magnetics surveys in Oasis montaj, then feed the grids to a platform like VRIFY DORA to rank targets.
Model alteration proxies in 3D: Corescan hyperspectral maps feed Leapfrog Geo implicit surfaces, replacing a geologist's logged intensity scores alone.
Geochemical data analysis with AI: explore multi-element assays in ioGAS, then add Python and ML scripts that cluster samples and flag anomalies for you.
Automated ore sampling replaces scoop-and-bag work with sensor-equipped shovels, robotic prep lines feeding inline XRF, and instrumented rigs like BLASTDOG.
A conveyor belt analyzer like MineSense BeltSense reads ore grade on the belt in real time, so you can divert dilution or misrouted ore before the mill.
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.
BLASTDOG is IMDEX's semi-autonomous multi-sensor probe that logs production blast holes and returns ML-interpreted rock-property data within minutes.
AI blasthole logging today mostly means AI-driven drilling: Hexagon Drill Assist sets drill parameters automatically from live rig-sensor data as it drills.
AI blasting evaluation uses Hexagon Blast Movement Intelligence to track ore movement, and Split-Desktop or WipFrag to size rock from muckpile photos.