Refine your part evaluation with new point annotation capabilities

Evaluating a part can sometimes be difficult and spotting the specific area of the image that drove the evaluation is very useful to make it more explicit. That is why quality operators can add point annotations (or labels) on inspection images.

To make this point annotation tool even more valuable, we’ve added two key capabilities to refine your evaluation, remove ambiguity and facilitate further analysis on Spark or the Quality Center:

• Labels can now be assigned a class of anomaly, covering both defects & acceptable anomalies as defined in your quality specification.
• Labels can be qualified as defective or acceptable, allowing to point out sources of false ejection easily.