Detecting defects is an integral part of any manufacturing process. Most works still utilize
traditional image processing algorithms to detect defects owing to the complexity and variety …

Robust and precise defect detection is of great significance in the production of the high‐
quality printed circuit board (PCB). However, due to the complexity of PCB production …

In recent years, the development of low cost consumer electronic products such as
television, mobile, washing machine etc. make high demands on manufacturing of defect …

An ideal printed circuit board (PCB) defect inspection system can detect defects and classify
PCB defect types. Existing defect inspection technologies can identify defects but fail to …

The circuit boards in the fields of optical sensors and optical devices require extremely high
levels of precision and performance. For instance, applications such as fiber optic …

Defect detection and recognition of bare PCB plays a significant role in computer vision
applications. An accurate and efficient approach is implemented in this paper. The approach …

An automated visual printed circuit board (PCB) inspection is an approach used to counter
difficulties occurred in human's manual inspection that can eliminates subjective aspects …

Because existing IC substrate inspection methods do not utilize information in the design
file, those are prone to failing detection of critical defects such as missing patterns. To …

This paper proposes an automated inspection approach for printed circuit boards (PCBs)
that can accurately locate defects to solve the issues of low precision, complex equipment …

We propose a deep learning-based reference comparison system based on a twin network
(also known as a Siamese network) for high-performance inspection of integrated circuit (IC) …