Grade Control & Geotechnical Control

Advanced sensing

Key Takeaways “Advanced sensing” on the grade-control floor is really an umbrella for three mature field/lab instruments: portable XRF/XRD, hyperspectral core scanning, and LIBS. None of these are AI tools by themselves — the AI value-add comes from the software layer that turns their …

Automating Ore Sampling with Sensors and AI

Key Takeaways Shovel-face, automated, and blasthole/RC sampling are all being upgraded with sensor packages that reduce manual handling and speed up grade turnaround. Motion Metrics ShovelMetrics and MineSense’s shovel sensor line use AI/computer vision …

Bench Slope Design

Key Takeaways Bench slope design still runs on classical finite-element and limit-equilibrium software — RocScience’s Slide2/RS2/RS3 and GeoStudio remain the industry standard. The AI layer is emerging and upstream of the design software: machine-learning models predicting rock-mass properties …

Blasthole Logging

Key Takeaways Hexagon Drill Assist puts AI directly into the drilling algorithm, automatically managing drill parameters from rig-sensor data as it drills — no manual parameter entry. Operators report training time dropping from years to about 15 minutes with Drill Assist, alongside real gains in …

GeoMet Reports

Key Takeaways GeoMet reporting — turning geometallurgical sample results into predictive performance reports — has a real dedicated platform: Cancha. Cancha integrates sample selection, prediction modelling, and automated reporting into one system, rather than leaving geologists to stitch …

Geometallurgical Reconciliation

Key Takeaways Geomet reconciliation — comparing predicted vs. actual mill performance to recalibrate your models — has a documented real-world AI implementation at the Tropicana Gold Mine. The Tropicana approach uses near-real-time recalibration of Work Index and geomet block models based on the gap …

Geotechnical Monitoring

Key Takeaways AI-augmented slope radar and satellite InSAR monitoring is now the standard, not the exception, for real-time pit-wall movement detection. IDS GeoRadar’s Ai.DA adds a machine-learning layer on top of raw radar data to separate real instability trends from noise. SkyGeo delivers …

Geotechnical Reports

Key Takeaways There’s no dedicated “geotechnical reporting” AI product — most sites build BI dashboards on top of their existing modelling platform’s data. Power BI and Tableau on top of Datamine or Deswik data is the common, pragmatic path. Cancha is worth a look if you want …

Monitoring Reports

Key Takeaways Slope-monitoring vendors bundle automated report and alert generation directly into their monitoring platforms — you don’t build this separately. IDS GeoRadar and SkyGeo both ship automated alerting/reporting as part of the radar and InSAR service, not as an add-on. This is one …

Structural Mapping

Key Takeaways Photogrammetric structural mapping — extracting discontinuity orientation, spacing, and trace length from pit-wall imagery — is the established standard, via Maptek’s I-Site Studio/PointStudio and the CSIRO-developed Sirovision system. Automated discontinuity-detection algorithms …