Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

A printed circuit board (PCB) functions as a substrate essential for interconnecting and
securing electronic components. Its widespread integration is evident in modern electronic …

Printed circuit board (PCB) defect detection is a part of the quality control process, which
detects and identifies predamage in finished products. However, it is difficult to detect them …

Abstract The integration of Advanced Artificial Intelligence (AI) technologies in Printed Circuit
Board (PCB) manufacturing has revolutionized the industry, offering significant …

This chapter explores the transformative impact of integrating real-time data and artificial
intelligence (AI) in the field of thrust manufacturing, particularly within the aerospace and …

The presence of atmospheric particulates, including bioaerosols such as pollen, significantly
impacts air quality and poses potential health risks. Therefore, accurate detection and …

To maximize production efficiency, product quality control is paying more attention to the
quick and reliable automated quality visual inspection. Product defect detection is a critical …

High-speed and accurate methods for chip-surface-defect detection remain a challenge in
the semiconductor industry. Therefore, we propose a feature fusion and data generation …

Abstract Applications in Engineering: In industry, surface defect detection is crucial for
improving product quality. However, there are many challenges in industrial inspection …

The advancement of autonomous vehicle technology relies heavily on sophisticated
machine-learning models that facilitate real-time object detection and classification. To …