Inline Foil Alignment Inspection System for Medical Device Packaging

In medical device manufacturing, packaging integrity is directly tied to product safety, regulatory compliance, and brand reputation. Even minor misalignment in sealing materials can compromise sterility and lead to costly scrap or recalls.

EZ Automation Systems partnered with a leading medical device manufacturer to design and deploy a Foil Alignment Vision System (FAVS)—a real-time, inline inspection solution that ensures precise packaging alignment while enabling continuous process optimization.

Now fully deployed in production, this system not only solved a critical customer challenge but also established a scalable inspection platform applicable across similar high-precision manufacturing environments.

 

The Challenge#

Medical device packaging lines operate under strict regulatory frameworks such as FDA and ISO standards, where:

  • Packaging defects are among the top causes of product rejection and recalls
  • Scrap rates in packaging processes can range from 2% to 8%, depending on process stability
  • Manual inspection introduces inconsistency and limited traceability
  • Many defects originate upstream but are only detected late in the process

For manufacturers, this creates a gap:

They need real-time, inline inspection that not only detects defects—but helps prevent them.

The customer approached EZ Automation Systems with a high-speed production issue involving multi-unit packaging arrays.

Key challenges included:

  • Inconsistent alignment of sealing material across cavities
  • No reliable way to quantify alignment deviations in real time
  • Dependence on manual or downstream inspection
  • Increasing scrap and rework costs
  • Requirement to maintain strict compliance and traceability

They needed a solution that could:

  • Inspect at full production speed
  • Provide measurable, actionable data
  • Integrate seamlessly into their existing line
  • Enable immediate process correction

 

The Solution: FAVS (Foil Alignment Vision System)#

EZ Automation Systems developed a custom inline vision system, deployed directly on the production line to inspect packaging alignment in real time.

Application Scope

  • Inspection of multi-unit arrays (15 units per cycle)
  • Continuous inline operation without slowing production
  • Real-time pass/fail decisioning and rejection

Core Capabilities

  • Detection of misalignment in both horizontal and vertical directions
  • Evaluation at unit-level and array-level
  • Automatic rejection if any unit fails
  • Continuous data logging and statistical tracking
  • Feedback loop to support upstream process adjustments

This transformed the process from reactive inspection → proactive control.

 

 

System Architecture #

The system was engineered as a high-performance, modular vision platform, combining proven hardware with a flexible software framework.

Hardware Components

  • Lenovo Industrial PC
    • Equipped with NVIDIA GPU
    • StarTech GigE Ethernet card for high-speed camera connectivity
  • Machine Vision Module (MVM):
    • 3 × FLIR Blackfly cameras
    • Each camera captures a 5-unit array simultaneously
  • Advanced Illumination System:
    • Brightfield lighting for structural visibility
    • Darkfield lighting for edge and defect contrast
    • Dual light controllers for precision tuning

Software & Platform: EZ Eye Framework

At the core of the system is the EZ Eye Framework, which orchestrates all inspection functions:

  • Synchronized multi-camera image acquisition
  • Real-time inspection processing
  • Pass/fail decisioning logic
  • Data logging for traceability
  • Statistical analysis for trend monitoring

This framework enables rapid deployment and supports multiple inspection methodologies within a single platform.

Inspection Methodology & Algorithm Design

Unlike many modern systems that rely solely on deep learning, FAVS uses a deterministic computer vision approach powered by Cognex VisionPro, integrated through a custom wrapper.

Why This Approach Works

  • High-speed performance suitable for inline inspection
  • Fully explainable and traceable results
  • No dependency on large training datasets
  • Ideal for regulated manufacturing environments

Inspection Workflow

  1. Package Localization
  • Each camera has a unique view of the production line
  • Custom detection logic identifies package positions accurately
  1. Alignment Measurement
  • Packages act as reference geometry
  • System calculates:
    • Vertical displacement (up/down)
    • Horizontal displacement (left/right)
  • A midpoint reference is used to determine alignment deviation
  1. Decision Logic
  • Each unit is evaluated against tolerance thresholds
  • Any failure triggers rejection of the full array

Operator Experience

To enhance usability and troubleshooting, EZ Eye user interface included the following features to enable faster root cause identification by operators:

  • Real-time defect overlays highlighting failure locations
  • Toggle between clean and diagnostic views

 

Production Results & Impact#

Quality Improvements

  • Early detection of defects before downstream processing
  • Improved packaging consistency and reliability
  • Strengthened regulatory compliance

Operational Gains

  • Significant reduction in scrap through immediate feedback
  • Real-time adjustments to upstream processes
  • Elimination of manual inspection variability

Data-Driven Insights

  • Continuous monitoring of alignment trends
  • Identification of process drift
  • Support for continuous improvement initiatives

 

From Customer Solution to Scalable Platform#

While FAVS was developed for a specific customer application, it was intentionally designed as a repeatable and adaptable system.

Applicable Use Cases

  • Blister pack alignment verification
  • Seal placement inspection
  • Film or lid positioning
  • Multi-cavity packaging inspection
  • Any application requiring relative position measurement between components

Platform Advantages

  • Hardware-agnostic design
  • Modular architecture via EZ Eye Framework
  • Supports:
    • Rules-based vision
    • Machine learning models
    • Hybrid inspection strategies

 

By combining real-time inspection, data analytics, and modular design, EZ Automation Systems enabled the customer to:

  • Improve quality
  • Reduce waste
  • Gain deeper visibility into their manufacturing process

At the same time, the system serves as a flexible platform ready to be deployed across a wide range of medical device and precision packaging applications.