In this paper, a new model known as YOLO-v5 is initiated to detect defects in PCB. In the
past many models and different approaches have been implemented in the quality …

Object detection is widely used in the field of computer vision and crucial for variety of
applications, eg, self-driving car. During the development of half a century, object detection …

Bamboo surface defect detection provides quality assurance for bamboo product
manufacture in industrial scenarios, an integral part of the overall manufacturing process …

Featured Application In summary, the contribution of this paper is three-fold. First, we
establish a joint training dataset for electronic components that includes real PCB photos …

Rapid object recognition in the industrial field is the key to intelligent manufacturing. The
research on fast recognition methods based on deep learning was the focus of researchers …

With numerous countermeasures, the number of deaths in the construction industry is still
higher compared to other industries. Personal Protective Equipment (PPE) is constantly …

In view of the low detection efficiency and high missed detection rate in the current printed
circuit board (PCB), this paper proposes an improved YOLOv3 PCB surface defect detection …

Featured Application An improved YOLOv4 algorithm for PCB surface defect detection can
achieve higher detection accuracy and faster detection speed with lower memory …

The activated sludge (AS) process is the most common type of secondary wastewater
treatment, applied worldwide. Due to the complexity of microbial communities, imbalances …

In electronics manufacturing, surface defect detection is very important for product quality
control, and defective products can cause severe customer complaints. At the same time, in …