The comprehensive intelligent development of the manufacturing industry puts forward new
requirements for the quality inspection of industrial products. This paper summarizes the …

Over the last few decades, detecting surface defects has attracted significant attention as a
challenging task. There are specific classes of problems that can be solved using traditional …

The quality of the printed circuit board (PCB), an essential critical connection in
contemporary electronic information goods, directly influences the efficiency and …

Over the past few decades, intelligentization, supported by artificial intelligence (AI)
technologies, has become an important trend for industrial manufacturing, accelerating the …

Electronics industry is one of the fastest evolving, innovative, and most competitive
industries. In order to meet the high consumption demands on electronics components …

Deep learning has been widely used in recent years for printed circuit board (PCB) defect
detection because of its excellent performance. However, deep-learning-based approaches …

印刷电路板(PCB) 是电子零件的基板, 需求量极大, 承载着电路元件和导线的布局,
其优良与否对电子产品的质量有着重要影响. 由于电子产品的制作逐渐趋于轻薄, 精小 …

The problem of tiny and low-contrast surface defect detection is a nontrivial one. To solve the
problems, this article proposes an edge and multi-scale reverse attention network (EMRA …

With the development of science and technology and the progress of the times, automation
and intelligence have been popularized in manufacturing in all walks of life. With the …

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 …