Industrial Automation

Industrial Automation

Driving Quality and Productivity in Contact Lens Packaging with OMRON FH-AI

FH-AI Inspection System

Customer Overview

A leading contact lens manufacturer in Asia supplies high-quality medical products to a global market. Operating in a highly regulated industry, the manufacturer must ensure consistent quality, full inspection coverage, and strict compliance—while maintaining high throughput in a competitive, high-volume production environment.

The Need

As production volumes increased, the manufacturer faced growing challenges in its final inspection process for contact lens packaging. Inspection involved verifying multiple parameters, including blister integrity, lens positioning, and label accuracy. These checks were critical to ensuring product safety, regulatory compliance, and brand reputation.

However, the inspection process relied heavily on manual visual checks. Under high-speed production conditions, this approach proved to be slow, inconsistent, and prone to human error. Inspector fatigue and subjective judgement led to a 20% defect rate, creating quality risks and rework.

To maintain inspection coverage, the manufacturer required 12 inspectors across three production lines, resulting in high labour costs and limited scalability. Despite the manpower investment, manual inspection could not guarantee consistent, repeatable results—especially as product variation increased.

The manufacturer needed a solution that could:

  • Detect and classify a wide range of defects accurately
  • Perform reliable inspection at production speed
  • Reduce dependence on human inspectors
  • Improve consistency while supporting future scalability

 

The Technology

To address these challenges, the manufacturer partnered with Omron to implement an AI-powered vision inspection system centered on the FH Series AI Vision (FH-AI) platform.

The solution replaced subjective manual checks with high-speed, objective, and repeatable inspection, ensuring stable quality regardless of operator or production conditions.

Key Solution Components

FH-AI Defect Detection and Optical Code Reading

Unlike conventional vision systems, the FH-AI solution required significantly less setup and tuning time. The AI learning process was completed in hours instead of weeks, allowing the customer to move quickly from proof of concept to deployment.

The Outcome

The implementation delivered immediate and measurable improvements across quality, productivity, and cost.

  • Improved Accuracy: Error rate reduced from 20% to 10% during Proof of Concept, with potential to achieve less than 10% as AI learns from additional defect samples.
  • Enhanced Quality Coverage: Omron verified 21 defect types, compared to 12 defect types by competing solutions.
  • Faster Project Deployment: Proof of Concept completed in 2 weeks, versus 3 months for competitors.
  • AI learning time reduced to 3 hours, versus 3–6 weeks for alternative systems
  • Faster processing and learning: AI learning time reduced to 3 hours, compared to 3–6 weeks for other systems.
  • Higher Inspection Productivity: Inspection speed doubled, processing one strip of five blisters in 1.5 seconds, compared to 3 seconds with competing solutions.
  • Cost Optimization: Labour efficiency was significantly improved by streamlining inspection coverage from four inspectors per line to one, resulting in approximately $80,000 in annual labour savings across three lines.

 

Download Full Case Study

(FHV7-AI) NPI Success Case AHM​

Customer reference
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