Sveza’s AI-based innovation receives recognition across Eurasia

Sveza Group has been granted a Eurasian patent for a method for detecting and classifying defects in wood-based materials. This machine vision–based technology enables real-time detection and classification of defects in panel and sheet materials with an accuracy exceeding 90%.
Sveza’s AI-based innovation receives recognition across Eurasia

The patent was issued to Sveza’s Kostroma plywood mill by the Eurasian Patent Office (EAPO) and published in the EAPO Bulletin. It covers nine countries: Russia, Azerbaijan, Belarus, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. This grants Sveza exclusive rights to use the technology across the entire Eurasian market.

The “Method for Detecting and Classifying Defects in Wood-Based Materials” utilizes a highly accurate neural network in combination with advanced machine vision cameras, offering significantly higher efficiency compared to traditional methods. The solution has successfully passed validation by the Russian Federal Service for Intellectual Property, confirming its high precision and reliability.

“Securing the Eurasian patent is not just about protecting our intellectual property; it represents a strategic advantage for our entire group of companies,” says Viktor Tikhonov, manager of Sveza’s plywood mill in Kostroma. “Working closely with Sveza SmartLine, we plan to leverage this technology to drive expansion into Eurasian markets. Our corporate expertise group is already developing a long-term strategy to safeguard and maximize the commercial potential of this patent.”

Sveza’s innovation serves as a powerful driver for enhancing Russian exports, opening new opportunities for adopting this technology across related industries throughout the Eurasian region.

The patented “Method for Detecting and Classifying Defects in Wood-Based Materials” builds on Sveza’s previous patent created by the Technology Development Center of Sveza’s plywood mill in Kostroma — a timber defect detection scanner which was recognized among the Top 50 Corporate Innovations in Russia.

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