Vision‐based object detection of PCB (printed circuit board) assembly scenes is essential in
accelerating the intelligent production of electronic products. In particular, it is necessary to …

Vision‐based recognizing and positioning of electronic components on the PCB (printed
circuit board) can improve the quality inspection efficiency of electronic products in the …

The object detection algorithm of the PCB (Printed Circuit Board) assembly scene based on
CNN (Convolutional Neural Network) can significantly improve the production capacity of …

Object detection with high accuracy is becoming increasingly important for industrial
processes, such as producing printed circuit boards (PCBs). A false or missed detection …

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 …

Effective detection of dense printed circuit board (PCB) components contributes to the
optimization of automatic flow of production. In addition, PCB component recognition is also …

To solve the problem of missed and false detection caused by the large number of tiny
targets and complex background textures in a printed circuit board (PCB), we propose a …

Object detection is an important component of computer vision. Most of the recent successful
object detection methods are based on convolutional neural networks (CNNs). To improve …

Recently, most state-of-the-art object detection systems adopt anchor box mechanism to
simplify the detection model. Neural networks only need to regress the mapping relations …

In recent years, the research on object detection has been intensified. A large number of
object detection results are applied to our daily life, which greatly facilitates our work and life …