Vertical position identification of the machine vision system in the mineshaft for the purposes of diagnostic image processing of the mineshaft lining surface

Strona główna Program Sesja Referat

Vertical position identification of the machine vision system in the mineshaft for the purposes of diagnostic image processing of the mineshaft lining surface

Data: Czwartek 26.02.2015

Sesja: International Mining Forum 2015 – część II

Godzina/Sala: 9:30 - 9:45 - A

Tytuł: Vertical position identification of the machine vision system in the mineshaft for the purposes of diagnostic image processing of the mineshaft lining surface

Autorzy: Henryk Kleta, Adam Heyduk, Jarosław Joostberens - Technical University of Silesia

Streszczenie:

The paper presents some problems of mineshaft technical condition assessment. These problems are particularly important in the case of mineshaft with no hoisting machines. There has been described a detailed example of insulating dam technical condition analysis. Particular attention has been paid to scale coefficient values for conversion from image dimensions to real world dimensions. Because values of these coefficients heavily depend on the distance between camera and the lining surface, a vertical position identification algorithm has been updated with a distance compensation formula.

Materiały:

Materiały video: video