Custom vs. Catalog Machine Vision Lenses
Use a catalog lens when it closes field, resolution, distortion, depth, spectrum, package, environment, and production margin at acceptable cost. Custom design is justified when the remaining gap is product-critical and cannot be solved more economically by changing sensor, viewpoint, illumination, calibration, or mechanics.
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
- Quantify the catalog performance gap at task conditions.
- Evaluate system changes before custom optics.
- Compare lifecycle cost, yield, and supply control.
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
- Task acceptance metric
- Catalog test data
- Package and environment
- Volume and target cost
- Supply and change-control needs
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 custom lens is started before the team proves that optics, rather than lighting, calibration, motion, or geometry, is the limiting layer.
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
Benchmark best catalog candidates on representative parts, then model custom improvement against the same acceptance test.
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 current lens, sensor, images, failure rate, task geometry, package, environment, volume, cost, and performance gap.
PAO applies this framework through robotics and machine-vision optics, from requirements and architecture through detailed design, prototype evidence, and manufacturing transfer.