Open AccessA REAL TIME COAL CONTENT ORE GRADE (C2OG) SENSOR
Author(s) -
Rand Swanson
Publication year - 2002
Language(s) - English
Resource type - Reports
DOI - 10.2172/804933
Subject(s) - software , computer science , work (physics) , coal , interface (matter) , data collection , computer hardware , embedded system , operating system , engineering , mechanical engineering , statistics , mathematics , bubble , maximum bubble pressure method , waste management
This fifth quarterly technical report discusses the progress made on a machine vision technique for determining coal content and ore grades. Recent work has been devoted to implementing new hardware and examining defects in titanium sponge, a new application for the machine vision system. With the improvements in hardware and software, the data collection is much improved. Early results from data taken on titanium sponge defects indicate that some defects will be relatively easy to identify, but others will be much more difficult. Consequently, additional work is required with software algorithms for target recognition. Ongoing work will be divided into several fronts, which include data collection and analysis, improving the target recognition capabilities, and improving the electronic interface