Case Study: Unilin Group boosts laminate defect detection with Robovision AI

Unilin Group - Customer Case Study

The Unilin Group, a major global flooring manufacturer, faced significant challenges in maintaining quality control on its high-speed laminate flooring production lines. Manual inspection was impossible at a rate of 100 plates per minute, and detecting subtle defects in materials with organic patterns was beyond the capability of traditional computer vision. To address these hurdles, Unilin partnered with vendor Robovision to implement an AI-powered automated defect detection solution.

Robovision developed a deep learning-based computer vision system that scans every laminate plate in real-time, accurately identifying even microscopic flaws. The solution, built on the Robovision AI platform, immediately alerts operators to defects for removal and allows for easy retraining on new product styles without requiring a data science team. This implementation by Robovision automated the visual inspection process, increased production yield, and allowed Unilin's operators to focus on other high-value tasks.

Unilin Group

Klaus Lozie

Digital Operations Manager