You are reading an old version of this documentation. If you want up-to-date information, please have a look at 4.3 .

4.3 Results


Fig. 94 Pick Point Teaching - Results

The reference model, resulting from the pick point position and residual features, is then compared with the features of all other good candidates. The reference model is rotated until the features of the reference model match the features detected on the other candidates as closely as possible.


Fig. 95 Zoom on one good candidate


You can manually move the parts on the feeder and then hit the “acquire a new image” button to check if the pick point is always well detected.

The score represents the percentage of correspondence between the reference model and the candidate. A score of 100% means a perfect match.


In the results table, you can sort the parts in ascending order of score and thus easily verify that all parts with a score higher than the threshold are precisely detected (i.e. accurate pick point positioning). Adjust the threshold to keep only accurately detected parts as accepted (surrounded by a green rectangle).