Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

Knot detection is a challenging problem for the wood industry. Traditional methodologies
depend heavily on the features selected manually and therefore were not always accurate …

This paper provides an overview and analysis of the basic theory of deep learning (DL), and
specifically, a number of important algorithms were compared and analyzed. The article …

Wood is widely used in construction, the home, and art applications all over the world
because of its good mechanical properties and aesthetic value. However, because the …

Wood defect detection is a research hotspot in the field of forestry at present. However,
existing studies on wood defect detection mainly focus on detecting a single type of defect or …

In the production process, the presence of surface defects seriously affects the quality of
industrial products. Existing defect detectors are not suitable for surface with scattered …

Keyframe extraction can effectively help users quickly understand video content. Generally,
keyframes should be representative of the video content and simultaneously be diverse to …

Although one-stage detectors, for example, YOLOv3, SSD, and RefineDet, based on the
convolutional neural networks (CNNs) have been widely used in object detection, their …

It is a well-known certitude that agriculture and cultivation has a momentous part to play in
the world in the economy of the world including the countries where agriculture is the sole …

Machine vision technology was integrated into the manufacturing workshop, to achieve an
effective and high-quality production mode for furniture manufacturing. Machine vision can …