Technical Knowledge Hub
Practical, vendor-neutral engineering resources for hardware programs.
Browse by Topic
Machine Vision
Guides, calculations, and algorithms for industrial imaging, lighting, sensor selection, and optical trains.
Optical Metrology
Core concepts in physical and geometrical optics measurement, wavefront analysis, MTF, and interferometry.
Test Engineering
Best practices for bringing up test stations, designing automated test scripts, and scaling prototype setups to high volume production.
Manufacturing Data
Aligning test sites, analyzing high-dimensional optical test data, and calculating correlation matrices to control yields.
Gage R&R / MSA
Practical guides to Gage R&R, characterizing measurement system variation, and proving metrology capability.
AI/ML Inspection
Applying unsupervised deep learning (PatchCore, PaDiM) and vision models to defect detection and quality control.
Recent Guides & Application Notes
Unsupervised Visual Anomaly Detection: PaDiM and PatchCore
An engineering review of unsupervised deep learning algorithms for automated optical defect detection on production lines.
Machine Vision Lens Selection Guide
A practical guide to calculating focal length, sensor matching, and field of view for industrial imaging systems.
Telecentric vs. Entocentric Lenses in Metrology
An engineering comparison of parallax error, magnification stability, and measurement precision differences.
Correlation Metrics for Cross-Site Test Alignment
An engineering comparison of Pearson, Spearman, and Mutual Information metrics for manufacturing metrology correlation.
Gage R&R for Optical Inspection Systems
A framework for characterizing measurement system variation, repeatability, and reproducibility in high-precision optical metrology.