Automated Visual Inspection Library for Computer Vision Toolbox

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

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NOTE: This support package is no longer supported by MathWorks. It is recommended that you use Visual Inspection Toolbox
After 26b, Visual Inspection Toolbox introduces several new features designed to help process engineers develop and deploy inspection systems more efficiently:
  • Visual Anomaly Detector App to train, evaluate, and compare anomaly detection models without writing code
  • Student-Teacher and FCDD anomaly detection methods for limited-defect-data scenarios
  • Shape Matching for precise object localization from a single template image
  • Measurement and metrology tools for calibrated dimensional inspection
  • YOLOX deployment enhancements including ONNX export workflows
  • Continued integration with MATLAB, Image Processing Toolbox, Computer Vision Toolbox, and deployment products for end-to-end visual inspection.

MATLAB Release Compatibility

  • Compatible with R2022b to R2026a

Platform Compatibility

  • Windows
  • macOS (Apple Silicon)
  • macOS (Intel)
  • Linux