Semiconductor wafers constitute a critical substrate material for modern information-technology products, and surface defects can directly compromise chip yield and device reliability. In practical ...

The DEtection TRansformer (DETR) and the YOLO series have been at the forefront of advancements in object detection. The RT-DETR, a member of the DETR family, has notably addressed the speed ...

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...

Veryon, the leading provider of aviation maintenance software and data intelligence solutions, today announced the next generation of its Defect Analysis platform, now expanded to incorporate aircraft ...

Focused AI solutions yield better returns in supply chain than broad, ambitious but unproven AI solutions. SKF has used a focused solution to improve product quality.

Manufacturing, a key component of global economies, is a complicated process that calls for precise quality control and intricate machinery. Product defect detection has traditionally been a ...

AI's ability to analyze data at lightning speed is proving especially useful in vision systems used to detect part defects in real time in plastics manufacturing. Traditional vision systems have ...

This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...

Discover how RayVector Technologies is transforming semiconductor manufacturing with innovative AI-powered technology for ...

Key points of this article This is research that uses not only good products but also a small number of defect samples as ...

A team of communications engineers in Taiwan has built a system that lets a drone flying past a building facade detect cracked or detached wall tiles in real time, streaming its verdicts over a 5G ...