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Crack detection in "as-cast" steel using laser triangulation and machine learning

Veitch-Michaelis, J; Tao, Y; Walton, D; Muller, J-P; Crutchley, B; Storey, J; Paterson, C; (2016) Crack detection in "as-cast" steel using laser triangulation and machine learning. In: Proceedings of the 13th Conference on Computer and Robot Vision (CRV). (pp. pp. 342-349). IEEE: Victoria, BC, Canada. Green open access

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Abstract

We describe a high-accuracy inspection system designed to automatically detect cracks in "as-cast" steel slabs. Real-time slab inspection requires instrumentation capable of withstanding high temperatures above the steel surface as well as coping with the dirty and dusty environment present in a steel mill. Crack detection is also challenging due to the presence of oxidation scale on the slab surface. A bespoke laser triangulation system has been developed, providing images at 250 fps with a calibrated surface resolution of 97 μm from a 1m standoff distance. Cracks are detected using a combination of morphological detection and SVM classifier. Results are reported from laboratory testing and from extended trials at a production steel mill.

Type: Proceedings paper
Title: Crack detection in "as-cast" steel using laser triangulation and machine learning
Event: 13th Conference on Computer and Robot Vision (CRV)
Location: Victoria, CANADA
Dates: 01 June 2016 - 03 June 2016
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/CRV.2016.55
Publisher version: http://dx.doi.org/10.1109/CRV.2016.55
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Robotics, laser triangulation, challenging environment, 3D reconstruction, crack detection, AUTOMATED VISUAL INSPECTION, SURFACE, SLABS, RECONSTRUCTION, CLASSIFIERS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics
URI: https://discovery.ucl.ac.uk/id/eprint/10028424
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