SWIR Machine Vision Lens Design
SWIR machine vision can reveal moisture, composition, and contrast unavailable in visible light, but requires matched illumination, detector response, lens materials, coatings, focus, and calibration. A visible lens that transmits some SWIR rarely provides controlled broadband image quality across the sensor field.
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
- Select bands from material contrast and detector response.
- Choose materials and coatings for real thickness and angles.
- Control focus and calibration across spectral channels.
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
- Spectral bands
- Detector response
- Target contrast
- Lens transmission and MTF
- Illumination power and safety
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
The system is designed around nominal detector sensitivity while source spectrum, lens absorption, and target variability remove usable signal.
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
Measure spectral contrast, throughput, MTF, focus, flat-field behavior, and classification margin on representative samples.
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 material samples, desired contrast, bands, detector, field, working distance, speed, and current spectral data.
PAO applies this framework through robotics and machine-vision optics, from requirements and architecture through detailed design, prototype evidence, and manufacturing transfer.