The goal of this project is to develop the sawmill industry significantly via digitalisation. One of the main objectives is to build an information system connecting all the production steps of the mill so that it is possible to track the life cycle of raw material from the beginning to the end product. Raw material and its characteristics become individually traceable (e.g., logs and their parts) in the real-time industrial environment. This makes the use of raw material more efficient. At the same time, resource-efficient processes become more sustainable which benefits conservation of nature, especially in controlling the climate change.

Modern sensor systems, new computational methods, and more robust mathematical models enable developing novel machine vision based measurements for quality control systems. The capabilities of the systems can be extended by using measured information from the sawmill processes and raw material. The obtained quality information can be connected via feedback loops to sorting the logs and optimizing the sawing processes. The developed innovations will be tested in the real industrial environment.

The project includes international collaboration with the Computer Graphics Research Group at Brno University of Technology and Uncertainty Quantification Group at Massachusetts Institute of Technology.

LUT    Finnos Oy    FinScan Oy
               Stora Enso Oyj    Tekes


Tuomas Eerola E-mail Office: 2422 Tel: +358 40 139 3405 Post-Doctoral Researcher, Project Manager
Heikki Kälviäinen E-mail Office: 2415 Tel: +358 40 586 7552 Professor, Project Leader
Lasse Lensu E-mail Office: 2413 Tel: +358 40 759 1720 Professor
Heikki Haario E-mail Office: 2409 Tel: +358 400 814 092 Professor