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
- 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)