The goal of the project was to develop a pine log optimization scanner using the existing band and ripsaw system. Detecting the full-size 3-dimensional shape of the log was also one of the requirements to provide the most optimal plank and beam cut solution according to the shape of each log.

• Visual cameras to detect defects in each plane after a bandsaw cut

• Stereocameras dor precise log dimsion and shape detection

• AI defect detection model for 9 pine tree defect types

• Visual cameras for defect recognition after each bandsaw cut

• Stereocameras to detect precise log dimension and shape

• AI defect recognition model for 9 different defect types in pine trees

• Precise data collection system for each log

• Automatized and sped up bandsaw and ripsaw sawing process

• The maximum yield is achieved for every processed log optimizing for the optimal rotation angle, horizontal alignment against the bandsaw, defects in each plane and their respective market prices