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

We report a complete deep-learning framework using a single-step object detection model
in order to quickly and accurately detect and classify the types of manufacturing defects …

Previous works for PCB defect detection based on image difference and image processing
techniques have already achieved promising performance. However, they sometimes fall …

Defect detection is an indispensable part of the print circuit board (PCB) manufacturing
process, which could identify problems in the previous manufacturing process to avoid the …

Normalized cross correlation (NCC) technique is the most accurate and robust in defect
detection techniques in industry. But its robustness is sensitive against change lighting and …

With the rapid development of China's printed circuit board industry, bare‐board defect
detection has high research and application values as an important factor in improving …

In this paper, we propose an eigenvalue-based similarity measure between two gray-level
images and, in particular, aim at the application in defect detection. The pair-wise gray levels …

We propose a spectral imaging method for material classification and inspection of raw
printed circuit boards (PCBs). The method is composed of two steps (1) estimation the PCB …

Manual inspection of printed circuit board (PCB) is very time consuming and not a reliable
technique, as some defects may left unseen due to human errors. The solution is provided …

Automated visual inspection is a popular way of detecting many kind of defects at PCBs and
electronic components without intervening in the manufacturing process. In this work, we …