Localisation of unseen pattern deviations in label printing
A new print deviation may not fit a missing-character or shift class. Local departure from normal artwork texture provides evidence separate from reading the text.
Store print ROI, local anomaly score and above-threshold area; name any new deviation after review. This label result is not an automatic text-reading result.
- 01 Normal reference
- 02 New image
- 03 Local comparison
- 04 Score threshold
- 05 Send for review
Select the illustrative reference gallery of normal examples only.
- Local anomaly score
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- Above-threshold area
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- Illustrative score threshold
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Scenes are illustrative simulations; they are not customer references or performance guarantees.
Solution approach
Local features of normal examples are compared with the new ROI. Raw evidence, normal reference and a continuous anomaly map appear separately; the score threshold is not a defect class. Register print against normal patches and show a new motif as a hot region. Hold visual novelty independently from code verification.
Process steps
- 01
Normal reference
Select the illustrative reference gallery of normal examples only.
- 02
New image
Image the new sample under the same lighting and registration conditions.
- 03
Local comparison
Show local feature deviation as a continuous heatmap.
- 04
Score threshold
Show the local score and above-threshold area as separate criteria.
- 05
Send for review
Hold an anomalous example for the operator without inventing a defect type.
Related applications
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