Detecting the Legend, Main Map and Other Parts of a Geologic Map With YOLOv10
Machine learning in geology can find the legend, main map and other parts of a scanned map. How geomap_process_image runs YOLOv10 and what it returns.

Machine learning in geology can find the legend, main map and other parts of a scanned map. How geomap_process_image runs YOLOv10 and what it returns.
Ore texture analysis with AI: run samples or core through TIMA, Mineralogic or Corescan for ML-classified grain size and mineral maps that size your grind.
Automated mineralogy on TIMA, MLA, QEMSCAN or Mineralogic uses ML classifiers to turn SEM X-ray spectra into modal mineralogy and liberation data in hours.
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.
AI blasting evaluation uses Hexagon Blast Movement Intelligence to track ore movement, and Split-Desktop or WipFrag to size rock from muckpile photos.
Automated core photography from Corescan, Datarock or Minalyze gives AI fracture, lithology and mineral tools the consistent images they depend on.
AI flotation control feeds froth-camera video and plant sensor data into a closed-loop controller like Imubit that writes reagent, pH and airflow setpoints.
Log fracture spacing with AI: Datarock Core's neural network reads core photos and returns fracture logs validated against expert logging at Carrapateena.