Academy of Finland  
 
 
 
 
 
Funding decision
 
Applicant / Contact person Roininen, Lassi
Organisation Lappeenranta-Lahti University of Technology LUT
Project title Sawing Optimization via Deep Learning and Multi-instrument Imaging
Decision No. 334816
Decision date 13.12.2019
Funding period 01.04.2020 - 31.03.2022
Funding 242 514
   
Project description
Sustainability and profitability of sawmills depend on their ability to streamline sawing processes, optimize the quality of end product, and minimize waste products due to suboptimal sawing processes. Increased efficiency can be for instance achieved by digitalization; for which many technical solutions already exist, such as automatic sorting and grading. As part of this project we aim at the next stage of digitalization, by creating an internet of things for full log tracking from initial measurements to the final product. Which will be supported by the main focus of this project on optimizing the sawing processes. Novel imaging techniques from multi instrument measurements will enable the creating of a digital twin for each log, and a virtual sawing can be performed to determine optimal sawing patterns and angles controlling the locations of knots and other defects. This will make the sawmill process more resource-efficient and will promote sustainability of the forestry sector.