Services

Iris Optics supports projects where optical performance, measurement rigor, and manufacturing reality have to meet.

Optical Metrology System Design

End-to-end design of custom optical measurement systems (including MTF/CTF, stray light, wavefront, radiometry, and photometry) tailored to your hardware and performance requirements.

Typical Problems Solved

  • Off-the-shelf metrology systems do not meet custom requirements.
  • Need to translate optical physics into a repeatable, custom measurement concept.
  • Difficulties in measuring custom parameters like wavefront error or stray light fractional values.

Deliverables

  • System architecture and optics specification
  • Sensor, lens, and illumination selection
  • Prototype metrology design & optical simulation

Ideal Customer

R&D and advanced hardware teams needing precise, custom optical measurements.

Machine Vision & Automated Optical Inspection

Developing robust automated optical inspection (AOI) workflows and defect detection algorithms with integrated production decision logic.

Typical Problems Solved

  • Manual inspection is slow, subjective, and prone to escapes.
  • High false-reject rates on stray light or blemish inspections with existing AOI systems.

Deliverables

  • Automated inspection recipes and defect classification algorithms
  • Lighting, sensor, and imaging system optimization
  • Inspection capability reports and production decision logic

Ideal Customer

Manufacturing teams scaling production and needing reliable automated defect detection.

Manufacturing Test Development

Translating laboratory-grade optical measurements into rugged, high-throughput manufacturing test stations.

Typical Problems Solved

  • Lab measurements cannot be scaled to the factory floor.
  • Test setups are too sensitive to ambient stray light or vibration, or cycle times are too long.

Deliverables

  • Test station SOPs
  • Gage R&R studies characterizing measurement system variation (repeatability and reproducibility)
  • Cycle time optimization plans and operator-friendly test interfaces

Ideal Customer

NPI teams transitioning products from prototype to mass production.

Supplier & Cross-Site Test Correlation

Aligning optical measurement results across internal R&D labs and global supplier sites to satisfy Outgoing Quality Control (OQC) requirements.

Typical Problems Solved

  • Discrepancies in MTF, stray light, or luminance measurement data between supplier and OEM.
  • Ambiguity in yield and quality decisions across manufacturing sites.

Deliverables

  • Cross-site correlation matrices
  • Golden sample and reference artifact programs
  • Data governance and software analysis alignment

Ideal Customer

Operations teams managing complex global supply chains with multiple test nodes.

Test Data Analysis & Dashboards

Building pipelines and interactive dashboards to monitor optical KPIs, yield metrics, and process capability (Cpk) trends.

Typical Problems Solved

  • Drowning in high-dimensional spectral or image test data.
  • Lack of visibility into build-to-build trends and process shifts.

Deliverables

  • Data pipeline architecture
  • KPI dashboard implementations
  • Yield and process capability (Cpk) analysis reports

Ideal Customer

Engineering leaders needing clear, actionable insights from complex optical data.

Failure Analysis & Root Cause Support

Investigating complex optical performance issues and identifying the root cause.

Typical Problems Solved

  • Unexplained optical artifacts or yield crashes.
  • Difficulty isolating whether issues are design, component, or assembly related.

Deliverables

  • Root cause analysis reports
  • Corrective action recommendations
  • New test method validation

Ideal Customer

Teams dealing with urgent, critical optical quality excursions.

Measurement System Validation

Rigorous verification of measurement systems using Gage R&R to quantify measurement system variation (repeatability and reproducibility) rather than assuming accuracy.

Typical Problems Solved

  • Lack of confidence in current measurement data.
  • Need to prove metrology capability for a critical gate review.

Deliverables

  • Gage R&R validation protocols
  • System capability reports
  • Uncertainty budget analysis

Ideal Customer

Quality and testing teams requiring formal validation of optical metrology equipment.