Author:
Jean-Philippe Andreu
Affiliation:
Joanneum Research, Institute of Digital Image Processing, Austria
Keyword(s):
Optical high temperature measurements, slag monitoring, industrial vision, motion tracking, optical flow.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Image Formation and Preprocessing
;
Implementation of Image and Video Processing Systems
;
Matching Correspondence and Flow
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
;
Real-Time Vision
Abstract:
Quality assessment of steel processing essentially relies on the continuous monitoring and control of the steel temperature and the flow patterns of the molten material. Among the various sensors developed to control that process, CCD cameras emerge as a good alternative to more classical measuring devices. Multi-spectral imaging systems based on cameras working in the visible spectrum offer a viable alternative to high cost thermographic infrared cameras. This paper presents a slag monitoring system based on dual wavelength thermographic cameras. The system allows a real-time and contactless monitoring of the slag temperature and a continuous monitoring of the flow patterns of the ingot slag topping in order to assess the quality of the produced steel.