Severe size and mass constraints
Balance aperture, field, working distance, image quality, efficiency, adjustment, and structural stiffness inside the wearable form.
Wearable optics engineeringPalo Alto, California
WEARABLES / NEAR-EYE / COMPACT SENSING
Optical systems for wearable products, engineered around the person and the package.
PAO develops compact display, imaging, illumination, and sensing optics together with their mechanical interfaces, calibration, prototype path, and production constraints.
SYSTEM WORKFLOWPAO / 01
01User
02Optical architecture
03Wearable package
04Calibration
05Verified prototype
For near-eye displays, smart glasses, biometric sensing, eye tracking, health devices, and compact AI-enabled products.
01Engineering reality
Wearable optics operate inside a human, mechanical, and computational system.
Field of view, eye position, comfort, power, heat, appearance, sensor data quality, calibration, and manufacturability compete inside a tightly constrained envelope.
User-dependent geometry
Account for eye relief, pupil location, facial variation, motion, occlusion, prescription needs, and the intended fit strategy.
Calibration at production scale
Design optical datums, sensor relationships, correction models, fixtures, and acceptance tests that can be repeated.
02Project fit
Contact PAO when a wearable optical channel must work across user geometry, a constrained package, calibration, and production variation.
PAO can support a focused display, imaging, eye-tracking, biometric, or illumination subsystem, or hold the complete optical and optomechanical workstream through prototype evidence.
User geometry drives uncertainty
Eye position, facial variation, tissue interface, motion, fit, and prescription needs must become optical and calibration ranges.
The package is already constrained
Industrial design, battery, thermal, cable, sensor, display, and structural interfaces compete for aperture and alignment space.
Calibration must scale
A bench calibration works, but fixtures, targets, correction data, acceptance limits, and recalibration triggers are not production-ready.
ENGINEERING DECISION TABLE
Inputs that change the architecture, acceptance method, and program risk.
| Input condition | Key metric | Design choice | Risk if unresolved |
|---|---|---|---|
| User task and geometry | Field, eye relief, signal, coverage, comfort, variation | Optical path, aperture, placement, adjustment, fit strategy | The nominal geometry excludes real users or operating poses. |
| Source, detector, or display | Efficiency, signal-to-background, resolution, thermal load | Wavelength, filters, relay, illumination, sensor or display interface | The wearable lacks optical margin under ambient and power limits. |
| Mechanical and environmental package | Alignment stability, sealing, drift, serviceability | Datums, mounts, adhesives, flexures, windows, calibration references | Performance changes with flex, temperature, impact, moisture, or assembly. |
| Production calibration | Residual error, repeatability, cycle time, unit variation | Targets, fixtures, correction model, data storage, acceptance test | Prototype correction cannot be reproduced at build volume. |
SELECTED ENGINEERING EVIDENCE
Published scope, verification method, and disclosure boundary.
These records describe documented engineering experience or the evidence plan PAO uses for new work. They do not imply that prior-employer programs were PAO customer engagements.
Wearable and HUD platform experience
- Scope
- Documented prior-role work across near-eye displays, smart-helmet HUD architecture, camera fields, combiners, packaging trades, and calibration interfaces.
- Verification
- Architecture budgets, interface specifications, tolerance reviews, controlled prototypes, image-path checks, calibration state, and system test.
- Boundary
- The record is explicitly attributed to prior roles; customer identities and confidential product results are not represented as PAO engagements.
Evidence package for new PAO work
- Scope
- User and system requirements, controlled optical and mechanical configuration, calibration definition, build record, and measured verification report.
- Verification
- Representative user geometry and operating conditions are included in the agreed acceptance plan.
- Boundary
- Safety, human-factors, clinical, and regulatory responsibilities are assigned explicitly for each product program.
03Engineering scope
A connected engineering path from optical concept to wearable hardware.
PAO can support a focused subsystem or own the optical and optomechanical workstream through prototype verification.
Define a technical work packageUse-case and requirements
User task, environment, eye or skin interface, field, wavelength, signal, power, package, and verification priorities.
Display and imaging architecture
Near-eye display, camera, eye-tracking, illumination, relay, combiner, waveguide-interface, or application-specific optical trades.
Compact sensing optics
Biometric, physiological, gesture, depth, spectral, and machine-vision paths tied to detector and algorithm needs.
Optomechanical packaging
Datums, lens and sensor mounts, adjustment, thermal behavior, flex and cable interfaces, sealing, service, and assembly sequence.
Calibration and correction
Geometric, radiometric, color, distortion, eye-position, sensor-registration, and unit-level correction strategies.
Prototype and transfer
Custom parts, build coordination, alignment, test, engineering iteration, acceptance evidence, and supplier-ready documentation.
04Technical envelope
Optical workstreams for emerging wearable products.
Representative capability is shown with the context needed to qualify it. Program requirements control the final architecture and acceptance values.
Smart glasses and near-eye displays
Display-engine, relay, combiner, eye-box, imaging, and calibration support within industrial-design constraints.
Eye and gaze sensing
Illumination, camera placement, spectral filters, reflection management, calibration, and geometry across user variation.
Health and biometric wearables
Optical source, detector, tissue interface, ambient rejection, isolation, signal path, and repeatable mechanical placement.
AI-enabled wearable cameras
Compact imaging, illumination, depth, spectral sensing, privacy-aware indicators, calibration, and environmental packaging.
REFERENCE ENVELOPE
Optical functionsDisplay / imaging / sensingOne subsystem or a coordinated multi-channel architecture
Spectral rangeUV to infraredSelected from source, detector, safety, material response, and environment
Package levelBench engine to wearable prototypeScope adapted to product stage and mechanical maturity
VerificationInstrument and user geometryMeasured across relevant field, pupil, pose, environment, and calibration state
Wearable performance is application and user dependent. Final requirements and acceptance methods are established from the intended use, product architecture, environment, safety inputs, and production process.
05What you receive
Engineering outputs your team can review, build, test, and maintain.
The exact package follows the program stage and scope. Assumptions, interfaces, decisions, and acceptance evidence remain visible.
Architecture and risk package
Optical path, interface definition, performance budgets, package trades, and prioritized risk-retirement experiments.
Optical design package
Models, prescriptions, tolerances, stray-light analysis, spectral requirements, and optical specifications.
Optomechanical definition
Datums, mounts, stack-ups, adjustment, assembly sequence, interfaces, and controlled mechanical drawings.
Calibration plan
Targets, fixtures, measurements, correction model, data flow, field procedure, and recalibration triggers.
Prototype build record
Component status, assembly, alignment, configuration, deviations, measured results, and engineering decisions.
Transfer package
Supplier specifications, acceptance criteria, test methods, release data, and support for repeatable builds.
06Controlled delivery
A local engineering interface from first review through release.
PAO leads the technical work, coordinates specialized fabrication and production resources under the project quality process, and keeps responsibility for requirements, interfaces, evidence, and issue closure clear.
- 01
Technical intake
Define the system boundary, decision to be made, current evidence, constraints, and confidentiality path.
- 02
Requirements and risk
Create measurable requirements, interface assumptions, performance budgets, and a ranked technical risk register.
- 03
Architecture and proof
Compare viable concepts and retire the highest-risk assumptions with analysis, breadboards, or targeted tests.
- 04
Detailed engineering
Develop controlled optical, mechanical, calibration, test, and supplier-ready documentation.
- 05
Build and verification
Support procurement, assembly, alignment, test correlation, root cause, and evidence-based iteration.
- 06
Release and transfer
Close acceptance criteria, configuration, supplier questions, manufacturing issues, and production handoff.
07Qualification questions
Questions engineering teams ask before engaging.
01Can PAO work within an existing industrial design or mechanical envelope?
Yes. PAO can evaluate the available aperture, eye or sensor geometry, stack-up, thermal limits, and assembly interfaces, then identify what performance is feasible and where the package needs to change.
02Can the engagement include prototype hardware?
Yes. The scope can include custom optical and mechanical parts, sourcing, assembly, alignment, calibration, testing, and engineering iteration through a documented prototype.
03Do you support the algorithm and calibration interfaces?
PAO defines optical models, calibration measurements, target geometry, correction data, and interface requirements. Software implementation responsibility is agreed for each program.
09Start a conversation
Bring the user case, package envelope, and optical uncertainty.
Early sketches, CAD, display or sensor selections, target signals, and current prototype data are enough to begin a focused technical review.