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3.3
Function
3.3
Testing correctness of individual characteristics of the specimen
64 models are available for the recognition of specimens. The SIMATIC VS120 checks
whether or not the individual characteristics of the specimens have the same shape as the in
the trained model.
When specifying the recognition and evaluation areas, avoid shiny surfaces on specimens.
Principle of edge recognition
To recognize image patterns, edges are used. These edges from the images are the
transitions from light to dark or vice versa. A model is created from the sum of the edges
extracted in the image and their arrangement.
Recognition and localization of parts
The SIMATIC VS120 scans specimens and determines the coordinates including the roll
angle and passes them to the control system such as S7, for example, via PROFIBUS DP.
Testing the completeness of a model
The SIMATIC VS120 also checks specimens for completeness. Deviations from the trained
model are detected and the quality values of the evaluation are displayed.
Sorting functions for models and model sets
Depending on the importance of the application, 15 model sets with 64 different models can
be assembled and saved for processing. The models are sorted according to the application
with a controller for processing with the SIMATIC VS120.
Vision Sensor SIMATIC VS120
Operating Instructions, Edition 02/2006, A5E00757507-01
Description
3.3 Function
3-3
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