Evaluation of a Computer Vision Algorithm for Wood Defect Detection and Quality-Class Assignment of Birch (Betula spp.) Veneer Logs Under Industrial Conditions
The quality grading of birch (Betula spp.) veneer logs, an economically important raw material in the Baltic region, is still largely manual, causing pricing inconsistencies, and automated grading under industrial conditions remains rarely studied. We evaluated deep-learning computer vision models for recognising wood...