Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

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 …

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

As the production speeds of factories increase, it becomes more and more challenging to
inspect products in real time. The goal of this article is to come up with a computationally …

Wood is an essential natural resource that is widely used in many different industries, but it
is especially important in the building and furniture industries. On the other hand, flaws in …

Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

Целью данной статьи является рассмотрение возможности практического применения
алгоритмов машинного обучения, основанных на классификации для прогнозирования …