Structured-Light 3D Optical Design
Structured-light accuracy depends on projector and camera optics, baseline, pattern contrast, focus, distortion, surface response, synchronization, and calibration stability. Increasing camera resolution alone does not improve depth when projection blur, occlusion, speckle, or mechanical drift dominates the triangulation geometry.
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
- Set baseline and angles from depth accuracy and occlusion.
- Match projected feature size to camera sampling.
- Control camera-projector mechanical stability.
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
- Depth range and accuracy
- Field and baseline
- Pattern wavelength
- Surface reflectance
- Calibration interval
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 nominal triangulation model ignores projector distortion, pattern blur, or mount movement and misses accuracy after integration.
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 traceable 3D artifacts across field, depth, surface type, temperature, and recalibration cycles.
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 field, depth, accuracy, surfaces, speed, package, camera/projector choices, and representative point-cloud errors.
PAO applies this framework through robotics and machine-vision optics, from requirements and architecture through detailed design, prototype evidence, and manufacturing transfer.