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 …

Automated inspection has proven to be of great importance in increasing the quality of
timber products, optimising raw material resources, increasing productivity as well as …

The demand for solid wood is high in the construction and manufacturing industries, and the
quality of the wood is crucial. Defects in solid wood can result in hazardous accidents or …

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 …

The world's expanding population presents a challenge through its rising demand for wood
products. This requirement contributes to increased production and, ultimately, the high …

Forestry is an undoubtedly crucial part of today's industry; thus, automation of certain visual
tasks could lead to a significant increase in productivity and reduction of labor costs. Eye …

This paper proposes a novel method for automatic realtime defect detection and
classification on wood surfaces. Our method uses deep convolutional neural network (CNN) …

This article presents improvements in the segmentation module, feature extraction module,
and the classification module of a low-cost automated visual inspection (AVI) system for …

Timber is important in the construction industry. Random checking in the manufacturing line,
randomized product selection, and condition monitoring are some of the most common …

Wood utilisation is an important factor affecting production costs, but the combined utilisation
rate of wood is generally only 50 to 70%. During the production process, the rejection …