Open AccessA REAL TIME COAL CONTENT ORE GRADE (C2OG) SENSOR
Author(s) -
Rand Swanson
Publication year - 2003
Language(s) - English
Resource type - Reports
DOI - 10.2172/824066
Subject(s) - schedule , false positive paradox , core (optical fiber) , sample (material) , computer science , real time computing , mining engineering , engineering , artificial intelligence , operating system , physics , telecommunications , thermodynamics
This eleventh quarterly technical report discusses the installation of a spectral machine vision system in the Stillwater mine's core room. In brief, the system has been fabricated, installed, and preliminary measurements have been made. A first round of refinements has been made, included replacing a bad bearing and applying filters to the lighting. A high-speed Spectral Angle Mapper (SAM) program was written to classify the cores in real time. This program identifies sulfides in the core sample quite well, but also produces false positives at boundaries and breaks in the core. Additionally, bright reflections from facets within the ore occasionally saturate the camera. Overall, the project is on schedule, but additional refinement in the algorithm and lighting is required to obtain more accurate results