Timber quality control is undoubtedly a very laborious process in the secondary wood
industry. Manual inspections by operators are prone to human error, thereby resulting in …

Before introducing AVI in the wood industry, a normal inspection process would require
human operators to visually inspect the timber to locate and identify the timber defects. The …

This study investigates the potential enhancement of classification accuracy in timber defect
identification through the utilization of deep learning, specifically residual networks. By …