Published on: Feb 11, 2026
Written by:Content team, Intelgic
In machine vision, lighting is more important than the camera or the AI model. Most defect-detection failures are not algorithm problems—they are illumination problems. Lighting geometry defines what the camera can see and, just as importantly, what it cannot see. A well-designed lighting strategy simplifies defect detection, improves robustness, and dramatically increases repeatability across shifts, operators, and environments.
This article explains lighting geometry in an educational and practical way, focusing on bright field vs dark field illumination, low-angle lighting, high-angle lighting, and why very low-angle lighting is often essential for surface defect detection.
Many teams try to fix inspection issues by increasing light brightness. This rarely works. Vision systems do not fail because of insufficient light—they fail because light interacts with surfaces in the wrong way.
The goal of lighting is not to make the image look good to humans, but to make defects optically separable for the camera and algorithms.
In bright field lighting, the illumination is arranged so that light reflected from the target surface enters the camera directly. As a result:
Bright field works well when defects change:
Label print defects, color mismatch, missing components, pattern alignment errors
Bright field struggles with:
This is where dark field becomes essential.
In dark field lighting, the light is arranged so that good surfaces reflect light away from the camera, appearing dark. Only surface irregularities scatter light back into the lens.
Dark field is ideal for detecting:
This technique dramatically increases defect contrast without increasing image processing complexity.
The key to surface defect visibility
Why low angle works
When light strikes a surface at a shallow angle:
Low-angle lighting often converts “invisible” defects into highly detectable features.
When defects are extremely subtle
Very low-angle lighting is an advanced version of dark field illumination and is critical for high-sensitivity inspection.
Very low-angle lighting requires:
When done correctly, it enables detection that is impossible with conventional lighting.
Emphasizing shape and form
High-angle lighting places the light closer to the camera axis.
High-angle lighting is often used in combination with low-angle lighting for complete inspection coverage.
In real manufacturing, a single lighting strategy is almost never sufficient. Effective systems combine multiple geometries:
For presence and color
For surface defects
To remove direction bias
Modern inspection systems often capture multiple images of the same part under different lighting conditions and fuse the information for robust defect detection.
A critical principle in machine vision
"No amount of AI tuning will fully compensate"
Good lighting simplifies AI. Poor lighting makes AI unreliable.
Lighting geometry is the foundation of any effective machine vision defect detection system. Understanding and correctly applying:
Allows manufacturers to reveal defects optically before software or AI gets involved.
An educational, geometry-driven lighting design—matched to surface behavior and defect type—is what turns a vision system from a fragile demo into a production-ready inspection solution.
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