Visual Inspection with MATLAB

Build machine vision inspection systems using Visual Inspection Toolbox. Select the right approach — rule-based, AI-based, or hybrid — based on problem characteristics, then implement, train, and deploy.

When to Use

Defect detection and classification

• Detecting anomalies on manufactured parts (scratches, dents, contamination)
• Training anomaly detectors with good-part images only (one-class learning)
• Detecting and localizing defects with bounding boxes (YOLOX)
• Classifying defect types or severity levels

Measurement and gauging

• Measuring widths, gaps, angles, diameters on parts
• Calibrated measurement in physical units (mm, degrees)
• Vision fixturing — locating parts and repositioning measurement tools
• Blob analysis — area, perimeter, shape metrics of segmented regions