Novel Optical Inspection For Translucent Contact Lens Molds

Discover The Projects

A global contact lens manufacturer needed to detect surface defects and occlusions in transparent contact lens molds, a problem that defeated conventional machine vision because the molds are translucent. Standard imaging techniques could not reliably distinguish defects from normal material properties.

Good Automation developed a novel optical inspection system using angle-of-attack illumination, refraction analysis, and light scatter techniques. The system went through multiple generations of architecture refinement, was built into a production-ready enclosure with emissions compliance, and operators were trained on-site. V&V per 21 CFR 820.70(i).

Second-generation contact lens mold inspection system

Developed the novel optical inspection system for transparent contact lens mold quality verification.

Transparent mold defect detection via novel optics

Built automated cosmetic inspection capabilities to detect surface defects and occlusions in transparent contact lens molds using novel optical imaging techniques including angle of attack, refraction, and light scatter analysis.

Inspection system emissions compliance engineering support

Provided engineering support for emissions compliance of the inspection system equipment.

Contact lens mold inspection system enclosure design

Designed and built the physical enclosure and housing for the contact lens mold inspection system.

Automated mold inspection system build

Upgraded automated visual inspection system with significantly improved defect detection accuracy and production throughput for transparent contact lens mold inspection.

Contact lens mold inspection architecture design

Designed inspection system architecture incorporating lessons learned from previous generations to improve defect detection in translucent molds.

Automated mold inspection operator training delivery

Delivered operator training for the automated wafer/mold inspection system to ensure proper use and maintenance by production staff.

Trusted by

Medtronic GD Energy Products Bell Helicopter Johnson & Johnson GE Healthcare Halliburton Shell Stryker Alcon Abbott Qorvo Qualcomm Keysight Technologies National Instruments MIT Oak Ridge National Lab Ethicon Bridgestone IBM U.S. Department of Energy Georgia Tech Stanford University University of Texas at Austin Verb Surgical Berkeley Lab Pacific Northwest Lab Hewlett Packard Enterprise Gardner Denver Lockheed Martin

Project Highlights

  • Multi-year R&D-to-production engagement.
  • Novel engineering problem requiring optics innovation; conventional machine vision could not solve the translucent defect detection challenge.
  • Complete delivery: system architecture, enclosure design, emissions compliance, operator training, and FDA V&V.