How to Select Machine Vision Illumination
Select machine-vision illumination from the surface feature and failure mode: bright-field for reflectance, dark-field for edges and defects, diffuse light for glare control, coaxial light for flat reflective parts, and spectral or polarized light when material response matters. Validate with representative production variation.
Why this decision matters
This choice affects more than nominal optical performance. It changes package volume, tolerance sensitivity, supplier options, alignment effort, calibration, test equipment, production yield, and the evidence required before release. The correct answer therefore comes from the complete operating condition and acceptance method, not from a single catalog value.
Key engineering decisions
- Choose geometry from the feature, not fixture convenience.
- Control ambient light, exposure, and motion.
- Evaluate polarization and wavelength against materials.
These decisions should be captured in a requirement or trade study before the team commits long-lead components. Where requirements conflict, rank the product priorities explicitly so optimization does not hide a business decision.
Specification checklist
- Target feature and surface
- Source geometry
- Spectrum and polarization
- Pulse and duty cycle
- Ambient-light range
Every value should state the condition where it applies and how it will be measured. A specification without a defined test condition is not yet an acceptance requirement.
Common failure mode
A laboratory image works on one clean sample but fails across finish, contamination, pose, or factory lighting.
The practical remedy is to compare the nominal model, tolerance prediction, mechanical interfaces, and measured configuration together. Treating the symptom as an isolated lens or component problem often produces another build with the same system-level limitation.
Verification approach
Build a lighting trade bench and quantify feature contrast, background, saturation, and repeatability.
Record the hardware revision, source or scene, wavelength, aperture, field point, focus or alignment state, environmental condition, processing, and measurement uncertainty. This makes the result useful for design iteration and supplier transfer rather than only for a one-time demonstration.
What to send PAO
Send good and bad parts, failure images, geometry, material finishes, cycle time, ambient conditions, and safety limits.
PAO applies this framework through robotics and machine-vision optics, from requirements and architecture through detailed design, prototype evidence, and manufacturing transfer.