Computer Vision Toolbox Automated Visual Inspection Library

Identify anomalies or defects in images to assist and improve quality assurance processes.

The Computer Vision Toolbox™ Automated Visual Inspection Library offers functions that enable you to train, calibrate, and evaluate anomaly detection networks.

The library enables:

• Creating and training deep learning networks to detect anomalies.
• Calibrating the trained network by setting the anomaly thresholds for max number of false positive and negatives that are acceptable.
• Evaluating the trained networks quantitively using validation metrics and qualitatively by visualizing anomaly heatmaps.
• Labeling training and calibration ground truth data using the image labeler app by marking defective areas with a segmentation mask.

For more information, please visit the automated visual inspection documentation page which shows you how to get started with anomaly detection using deep learning and features dedicated examples.