Smart Surface Inspection

trevista® and Deep Learning

  • Fast teaching in and adjustment of polygons and inspection parameters
  • Thanks to the excellent quality of the trevista® sensor data, an optimal evaluation can be carried out by the neural network.
  • Precise detection of defects on complexly shaped surfaces
  • The variety of different inspection tasks can be effectively and efficiently covered by the combination of trevista® and Deep Learning.
  • Communication interfaces are available for the extended use of inspection data, e.g. to support generic inspection plan generation, reporting, process optimization, etc.


Fig.: Defect candidates (sample application Smart Surface Inspection Coake® 7 Trial Version)