A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

To begin, could you briefly explain what Fiber-Reinforced Polymer (FRP) composites are, and why their visual quality is often tied so closely to structural expectations in end-use applications?

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 ...

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...

Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...

The AIM9 inspection platform combines visual inspection and leak detection with outputs of up to 600 vials per minute, ...