Capture the material
Images of extracted rock or exposed rock walls provide the material for analysis. Lighting, dust, image quality and the visible surface affect what can be examined.
Technology and R&D
Archon Mining’s technology program explores how computer vision can assist field inspection. Opal AI highlights possible signs of potch or precious opal for experienced miners to review.
Program purpose
Opal AI is an advisory tool. Its outputs require manual verification by experienced personnel and do not guarantee detection, discovery or commercial success. Field trials help assess where it can usefully support the crew.
Images of extracted rock or exposed rock walls provide the material for analysis. Lighting, dust, image quality and the visible surface affect what can be examined.
The model marks image regions that may contain potch or precious opal. These are potential detections for review, not confirmed finds or measurements of value.
Experienced personnel inspect the material and consider its geological context. Decisions about further investigation remain with the team.
Practical applications
Project material from 2024 documents Opal AI examples using rock, potch and precious opal imagery, including images captured under UV light. These examples illustrate the intended use; they are not a published accuracy benchmark.
Understanding the limits
Opal AI supports visual inspection. It does not establish the extent, grade or commercial viability of a deposit, and it cannot replace direct examination or project assessment.
Image analysis can miss material or flag something that is not opal. A model indication must be checked against the actual material.
A displayed confidence score is a model output. It is not a measure of opal quality, deposit size or the likelihood of a profitable project.
The examples shown do not demonstrate a guaranteed improvement in detection, recovery or returns. Field evaluation guides further development.