This eighth quarterly technical report discusses the progress made on a machine vision technique for determining coal content and preparations for Year-3 system deployment. Classification maps for coal have been generated and shown to two coal-mining executives. An application for licensing high-speed hyperspectral data analysis software from the Naval Research Laboratory (NRL) has been made. Both Western Energy and Stillwater Mining Company have offered platforms for Year-3 deployment. Barretts Minerals has expressed renewed interest in using Resonon's machine vision system for identifying dolomite in their talc ore and have agreed to provide samples to the Montana Tech team.
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Added Title:
Eighth Quarter Technical Report For A Real-Time Coal Content/Ore Grade (C2OG) Sensor
Description
This eighth quarterly technical report discusses the progress made on a machine vision technique for determining coal content and preparations for Year-3 system deployment. Classification maps for coal have been generated and shown to two coal-mining executives. An application for licensing high-speed hyperspectral data analysis software from the Naval Research Laboratory (NRL) has been made. Both Western Energy and Stillwater Mining Company have offered platforms for Year-3 deployment. Barretts Minerals has expressed renewed interest in using Resonon's machine vision system for identifying dolomite in their talc ore and have agreed to provide samples to the Montana Tech team.
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Swanson, Rand.A Real-Time Coal Content/Ore Grade (C2OG) Sensor, Technical Report: April - June 2003,
report,
July 21, 2003;
United States.
(https://digital.library.unt.edu/ark:/67531/metadc786436/:
accessed June 13, 2026),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.