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When you use parallelism, a boolean operator AND is used among the branches. That means if one of the branches has a NOK result, the overall result will be NOK as well.
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Anomaly of Surface
First you need to generate automatic sensitivity graph.
Evaluation considers sizes of anomalies and compares it with a threshold value. If the values are bigger than the threshold, image is evaluated as NOK, otherwise it is considered OK.
Evaluation
To activate this function, you need to tick the ‘Evaluation’ button above the generated sensitivity graph. When processing is active, it evaluates image as valid (green stripe) or invalid (red stripe).
Threshold
Value which determines the amount of anomalies that are tolerated.
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Detector, Classifier, Surface Detector, Measure, OCR
Images are evaluated based on set rules. If image follows all of the rules it is considered OK, otherwise it is NOK.