Manual surface inspection methods performed by quality inspectors do not satisfy the
continuously increasing quality standards of industrial manufacturing processes. Machine …

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

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 …

This paper presents multisensor image fusion of polarization and infrared imaging to detect
defects in printed circuit boards (PCBs). Many existing automated optical inspection …

The increasing population in the whole world demands adequate infrastructure to satisfy
varied requirements. To fulfill this requirement, the introduction of information techniques …

Automated Optical Inspection (AOI), based on machine vision, has been widely used in the
industry to perform quality control in various manufacturing segments. In addition to …

In recent years, deep-learning has been gradually applied to the detection and classification
of true and pseudo defects in printed circuit boards (PCBs). To judge the authenticity of PCB …

Printed circuit board is an important part of electronic industry. The detection of PCB defects
could improve the reliability of PCB and electronic devices. Comparing to the traditional …

Inspection of the defects on lead frames is an important task in automated optical inspection
(AOI) for the automaton of semiconductor packing industry. A lead frame is a thin layer of …

Printed circuit board is the foundation of electronic industry. The surface defects of PCB
could influence the reliability of PCB and electronic devices, thus, developing an accurate …