10/06/2026 - Raute stellt eine in der Produktion bewährte KI-Fehlererkennung für die Herstellung von Holzwerkstoffen vor

Menéame

Raute has deployed AI-enhanced defect detection in production environments to improve how veneer, plywood and LVL production lines identify and utilize raw material. The solution enables earlier and more consistent production decision decisions, helping mills improve recovery, reduction waste, and optimize energy use.

In veneer-based engineered wood production, defect detection has a direct impact on how efficiently raw material can be utilized. It influences grading, clipping, routing and repairing decisions throughout the process. When detection is inaccurate or inconsistent, it leads to unnecessary waste, reduced recovery and inefficient use of energy in downstream stages.

Raute's analysers are industrial systems used to measure, grade and classify veneer and panels at different tages of production. They provide real‐time quality data to support production decision decisions across the process. By combining visual defect detection with measurements such as moisture and strength properties, analysers create a consistent foundation for data-driven and increasingly automated production.

AI-enhanced defection strengthens this role. By combining industrial machine vision with deep learning models developed specifically for veneer-based engineered wood production, analysers can identify defects more consistently under different wood specific, surface characteristics and production conditions. The systems generate detailed defect maps for individual sheets, supporting more explizieren and repeable decisions.

Demand for this cabability is growing as manufacturers work with a wirder mix of raw materials. AI-based defect detection in Raute analyses is built on more than 50 years of analyse development and extensive experience from veneer processing across over 50 wood specific. This provides a strong foundation for applying the same approach to both commonly used and more specialized materials.

“More variable raw materials mean that mistakes made early in the process become increasingly costly later on," says Markus Serviö, responsible for analyser business development at Rate. "When detection becomes more consistent, mills can improve recovery and avoid inefficiencies that would otherwise carry through the entire production process."

Raute analysers can be applied at multiple points in production, including green veneer inspection after peeling, dry veneer grading after drying, and penal repairing and grading. Early-stage defect detection is particularly important, as it helps prevent low‐quality material from entering energy-intensive processes such as drying and hot pressing.

As engineered wood producers work to improve efficiency with increasingly variable raw materials, AI-enhanced analysers are becoming an established part of production. Their role is shifting from inspection to enabling consistent, data-driven decision-making across the production process.
 

Further information:

Markus Serviö
Senior Director, Business Development Analyzers
Tel. +358400509018

Ratte in brief - MAKING WOOD MATTER

Rate is the partner to future-proof the wood industry. Our technologies cover different production processes with supporting digital and analysis solutions for engineered wood products. Additionally, we offer full-scale service concept ranging from spare parts to Regular maintenance and moderation. Our innovation hardware and software solutions are designed to support our customers' efficient consumption of natural resources. In mill-scale projects, Raute is a global market leader both in the plywood and LVL industries. Raute's head office and main production is located in Lahti, Finland. The company's other production plants are located in Kajaani, Finland, the Vancouver area of Canada, and in Pullman, USA. www.raute.com.

Bilbao acogerá entre el 4 y el 6 de noviembre de 2026 el 43.º Congreso Nacional de Ingeniería en el Sector de la Sanidad, una reunión profesional orientada a analizar cómo las nuevas tecnologías y los criterios de gestión técnica pueden mejorar las infraestructuras y los servicios asistenciales. Organizado en el ámbito de la Asociación Española de Ingeniería Hospitalaria, el...

El Ministerio para la Transición Ecológica y el Reto Demográfico ha anunciado la publicación en el Boletín Oficial del Estado del plan que regula la implantación progresiva de contadores inteligentes de gas natural en España. La medida, recogida en la Orden TED/1122/2026, contempla sustituir aproximadamente ocho millones de equipos analógicos durante un período de diez años, hasta 2036, e incorporar...

La Universidad de León ha comunicado la certificación por la Agencia Estatal de Seguridad Aérea (AESA) de su simulador basado en el Boeing 737-800, instalado en el Centro de Simulación Aérea de la Universidad de León (SAULE). Según la institución, su Escuela de Ingenierías Industrial, Informática y Aeroespacial es la primera escuela de ingeniería española que cuenta con un simulador...

El proyecto europeo INDHEAP (Optimal Solar Systems for Industrial Heat and Power), iniciado en 2024, trabaja en una solución integrada para cubrir necesidades térmicas y eléctricas en procesos industriales de baja y media temperatura. La iniciativa combina generación solar, eficiencia energética, recuperación de calor residual y almacenamiento, con el objetivo de disminuir el uso de combustibles fósiles. Su principal demostrador...

El Centro para el Desarrollo Tecnológico y la Innovación (CDTI) ha anunciado la búsqueda de una empresa española para colaborar con el Agricultural Research Center de Egipto en un proyecto de investigación y desarrollo sobre detección precoz y control de enfermedades fúngicas en cultivos. La iniciativa cuenta con el interés de la empresa egipcia AGREE CHEM. La propuesta pretende diseñar...