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” — production-grade, already deployed across major mining companies.
  • Get the photography pipeline right first: every AI fracture/lithology/mineralogy tool downstream is only as good as the image quality and consistency it’s trained/run on.

TL;DR

Set up automated, standardized high-resolution core photography (via Corescan, Datarock, or Minalyze hardware) as the foundation — it’s the input every downstream AI logging, fracture-detection, and mineralogy tool depends on.

How Do I Automate Core Photography With AI?

It’s easy to think of “core photography” as just documentation, but in an AI-driven core shed it’s actually the sensor layer everything else builds on. Fracture detection, lithology classification, discing analysis, and mineral mapping tools all consume core imagery as their primary input — so the quality, consistency, and resolution of that photography directly caps how good the AI outputs downstream can be.

Corescan (acquired by Epiroc in 2022) integrates high-resolution photography with hyperspectral imaging and 3D laser profiling in one pass — collecting on the order of 800,000 spectral samples per metre — so the photography isn’t a standalone step but part of a combined imaging capture. Datarock Core takes standard RGB core photography as its direct input for AI fracture and lithology extraction, and has processed over 30 million metres of core since 2020 — proof this pipeline works at serious scale. Minalyze’s Minalyzer CS combines photography with LiDAR-based 3D core-tray modelling and continuous XRF scanning in a single contactless pass.

The practical takeaway: if you’re setting up an AI-driven logging workflow, don’t treat photography as an afterthought bolted onto your existing core shed process. Standardized lighting, resolution, and capture consistency at the photography stage is what makes every AI tool downstream — fracture detection, lithology classification, hyperspectral mineralogy — reliable rather than noisy.

Try It With Geocluster

Deciding which imaging hardware and photography workflow fits your deposit type and drill program scale is worth researching against comparable operations before committing capital. Geocluster can help pull together that comparative research quickly.