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.
  
  
      
    
  
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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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