Automation and Digitalization of Process Mineralogy
Instant mineral analysis with the power of AI.
We’re automating mineral intelligence through computer vision and AI. Mineral identification and data acquisition (both qualitative and quantitative) by images or video. Best quality and most reliable results and automated reports for mineral concentrates of 3D-Laboratory
Diagnostics of mineral particles, grains, and crystals in heavy mineral concentrates and processed materials
Based on principles similar to human vision for precise determination of optical properties (e.g., shape,
reflectance, color, texture etc)
Statistical data on the sample, including particle count, size distribution, grain morphology, presence of inclusions, and prediction of chemical composition and physical properties
No need for UV, X-ray, or other advanced analyzers
Specialized sample preparation by means of 3D-Laboratory for reliable digital mineral analysis of particles and crystals
Curated image datasets of mineral grains for training CNN or NAS
Software (UI) development for the end user
Reports generated:
Report 1: Mineral identification and particle counting
Report 2: Identification of dominant ore mineral assemblages
Conclusion: pyrite-chalcopyrite-arsenopyrite assemblage.
Result: Automated reports in the UI with data exported to MS Excel.
Let’s talk over a Zoom call!
Dr Vladimir N. Rudashevsky (vlad.rudashevsky@gmail.com)