Introduction

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The unsupervised segmentation algorithm can be used to judge whether the image of an object is OK, NG, or Unknown on the basis of set thresholds. Moreover, heat maps are available to show the possible areas with defects.

  • If the Defect confidence of an image is less than the threshold set for OK results, the image will be labeled as OK.

  • If the Defect confidence of an image is greater than the threshold set for NG results, the image will be labeled as NG.

  • If the Defect confidence of an image is greater than the threshold set for OK results and less than the threshold set for NG results, the image will be labeled as Unknown.

Application Scenario

Quality inspection: The algorithm is applicable to scenarios where objects have defects of different shapes and size and in different positions but their OK images have small but important differences

uncertain defects

General Workflow

introduction application flow

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