Visual Inspection Toolbox
R2026bVisual Inspection Toolbox™ provides apps, algorithms, and AI models for designing, testing, and deploying visual inspection and analysis applications. You can detect anomalies, count objects, match shapes, take measurements, and generate synthetic images. Combining AI models with traditional image processing helps you develop and tune inspection and analysis workflows for reliability, accuracy, and usability across applications. The toolbox, together with other MATLAB® products, reduces the time from prototyping to production to build a complete visual inspection solution. You can:
Connect machine vision cameras (with Image Acquisition Toolbox™)
Build standalone desktop dashboards and apps (with MATLAB Compiler™)
Deploy inspection algorithms to edge devices using generated code (with MATLAB Coder™ and GPU Coder™)
Export AI models to ONNX™
Get Started
Learn the basics of Visual Inspection Toolbox
Anomaly and Defect Detection
Detect, classify, and localize anomalies in images using deep learning models
Measurement
Measure distances and geometric features for metrology and dimensional inspection
Object Detection and Counting
Detect and count objects in images for visual inspection applications using deep learning
Shape Matching
Detect and localize objects in images using edge-based shape matching
Deployment
Deploy visual inspection systems to production environments using ONNX export, code generation, or MATLAB Compiler
