Key Takeaways Textural analysis, grain size analysis, and mineral mapping run on the same automated-mineralogy and hyperspectral imaging stack: TESCAN TIMA, Zeiss Mineralogic, and Corescan for core-scale hyperspectral work. These platforms increasingly use …
Key Takeaways TIMA, MLA, and QEMSCAN are all SEM-based automated mineralogy platforms — they scan a polished sample, fire an electron beam, and classify every mineral grain from its X-ray spectrum, at rates up to ~100,000 grains/hour. All three now lean on …
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 …
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 …
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 …
Key Takeaways Post-blast evaluation splits into two AI-driven tasks: tracking where the ore actually moved (Hexagon Blast Movement Intelligence) and measuring fragmentation size (Split-Desktop, WipFrag). Hexagon BMI generates a “Muckpile Block Model” — a post-blast update to your …
Key Takeaways High-resolution automated core photography is the raw data source that most downstream AI core-analysis tools depend on. Corescan (now Epiroc), Datarock Core, and Minalyze all offer automated core photography systems designed to feed AI extraction pipelines. This is a “Yes” …
Key Takeaways Flotation is one of the most mature applications of industrial AI in mineral processing — this isn’t speculative. Imubit’s closed-loop AI uses reinforcement learning to write optimal setpoints directly to the plant’s existing control system, not just recommend them to …
Key Takeaways Fracture spacing/frequency logging is one of the best-validated AI applications on the whole poster — it has a published head-to-head comparison against expert human logging. Datarock Core (part of IMDEX) uses a neural network to detect and classify fractures directly from core …
Key Takeaways Orica FRAGTrack uses AI plus stereoscopic 2D/3D imaging for automated post-blast fragmentation analysis — no manual sieving or scaled photos required. It ships in multiple deployment forms: FRAGTrack Conveyor, FRAGTrack Crusher, FRAGTrack GeoSpatial, and a newer excavator-mounted …