Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...

The X-ray machine market for tire inspection is set to expand from USD 254.5 million in 2025 to USD 299.5 million by 2032, with a CAGR of 2.4%. This growth is driven by advancements in system ...

A software workflow automates X-ray analysis to spot crystal defects in diamond and advanced semiconductors, helping improve ...

Using X-ray beams and machine learning for detecting structural defects, such as pore formation, can help prevent failure of metal 3D-printed parts. Systematic computer-based material design uses ...

A research team affiliated with UNIST has unveiled an innovative, high-precision AI-powered quality inspection system that reduces inspection time from 12 minutes to just under 3 seconds. This cutting ...

In a major step forward for radiation detection, a research team led by Prof. MENG Gang has significantly enhanced the performance of CsPbBr 3-based X-ray detectors by dramatically lowering their ...

What if manufacturing companies could pinpoint the exact cause of a defect the moment it occurs, preventing costly production delays and ensuring top-notch quality? Generative artificial intelligence ...

Whether the discussion is about smart manufacturing or digital transformation, one of the biggest conversations in the semiconductor industry today centers on the tremendous amount of data fabs ...

Defect detection requirements on the order of 10 defective parts per million (DPPM) are driving improvements in inspection tools’ resolution and throughput at foundries and OSATs. However, defects ...