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Case Study · 07

AI-powered edge-crack and tear detection in paper production.

Machine-vision solution that detects edge cracks and tears in real time on high-speed paper production lines, where manual inspection cannot keep up.

Sector Paper production
Focus Area AI & machine vision
95%+ detection accuracy
1 mm minimum defect detection
4× faster inspection vs. manual
Project Context

Why this project was needed

On continuous high-speed production lines, missing small defects in time produces heavy scrap, unplanned downtime, and quality loss.

Need & Challenge

Core challenges

At line speeds reaching 800 meters per minute, manual inspection cannot keep up. Without early defect detection, edge cracks escalate into full-sheet tears.

Approach

How it was addressed

High-speed cameras, lighting, image-processing algorithms, dual-side monitoring, and real-time reporting were combined into a continuous defect-detection infrastructure.

Solution Components

Implementation structure

High-speed camera infrastructure
LED lighting system
Dual-side monitoring
Profile analysis
Instant reporting
AI-driven crack-detection logic
Delivered Value

Results and impact

Defects are detected earlier, scrap formation drops, inspection quality rises, and the production line gains higher visibility.

Related Expertise

Capabilities applied in this project

Technology Data & Analytics Transformation

Let's evaluate real-time AI-driven quality-control solutions for your production lines.

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