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Discover how Elementary's AI vision system transformed quality control.

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About
Welcome to Yield:
The New Blog from Elementary
Every pioneering product has a unique vision. Yield, Elementary's new blog, is committed to sharing the stories, ideas, and perspectives that illuminate our journey towards a zero-defect world.
Case Studies
AI
Defect Detection
VisionLink
Teaching Old Cameras New Tricks: How International Paper Added AI to its Existing Teledyne Vision System
Eddie Mancera
Head of Product
Download Case StudyDownload Case Study
February 18, 2025
•
4 min read
Case Studies
AI
Defect Detection
VisionLink

Teaching Old Cameras New Tricks: How International Paper Added AI to its Existing Teledyne Vision System

Eddie Mancera
Head of Product
February 18, 2025
•
4 min read
Teaching Old Cameras New Tricks: How International Paper Added AI to its Existing Teledyne Vision System

When International Paper needed advanced inspection capabilities, they didn't replace their Teledyne vision system. They transformed it.

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Manufacturing leaders often face a stark choice: stick with proven but limited inspection systems, or undertake costly replacements to get advanced capabilities.

International Paper, however, recently demonstrated a different path—one that challenges conventional wisdom about modernizing quality control.

A Century-Old Manufacturer's Modern Challenge

With over 100 years of manufacturing excellence, International Paper's commitment to quality runs deep. Yet their facility faced a common challenge: an existing line scan system that, while reliable, required extensive manual intervention. Quality teams were spending countless hours reviewing potential defects, and high false-positive rates were leading to unnecessary waste.

Breaking the "Rip and Replace" Cycle

What happened next is interesting. Rather than undertaking a complete system overhaul, the facility took an innovative approach that preserved their existing infrastructure while adding sophisticated AI capabilities. The results were striking:

  • Eliminated over 375,000 manual classifications annually
  • Dramatically reduced false positives and material waste
  • Achieved 100% defect traceability
  • Completed implementation in one week
  • Zero production disruption

Beyond the Numbers

But the story goes deeper than metrics. The facility's experience reveals important insights about modernizing manufacturing operations, challenging assumptions about what's possible with existing equipment, and navigating the path to AI-enhanced quality control.

Want the full story? Download our detailed case study to learn:

  • The complete implementation process and timeline
  • Specific ROI metrics and results
  • Key lessons learned and best practices
  • Future expansion plans
  • How other manufacturers can apply these insights
Download Case Study
Case Studies
AI
Defect Detection
VisionLink
Eddie Mancera, Head of Product

A product leader who transforms early-stage startups through thoughtful product definition and design. Brings extensive expertise in enterprise software and AI, with a proven track record of turning nascent ideas into market-ready solutions.

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July 7, 2025
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Vision Systems for Packaging Inspection: The Essential Guide
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Modern packaging lines operate at blistering speeds, leaving no room for manual inspection errors. Vision systems offer a scalable, automated solution to maintain packaging quality while reducing costs and minimizing risk.
Eddie Mancera
Head of Product
June 18, 2025
•
4 min read
Introducing VisionStream: AI That Teaches Itself to Spot Manufacturing Defects
Introducing VisionStream: AI That Teaches Itself to Spot Manufacturing Defects
The first machine vision system to learn quality standards by observing the production line, eliminating weeks of setup and delivering defect detection in seconds
Eddie Mancera
Head of Product
May 29, 2025
•
4 min read
The Vision Roundup - Issue 1
The Vision Roundup - Issue 1
Machine vision is having its "AWS moment" - the barrier to entry is collapsing fast. Hardware is getting more flexible, AI models are going open source, and deployment is getting simpler. That's going to change who can afford advanced vision automation.
Eddie Mancera
Head of Product
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