Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in ...

Automated defect detection in non-destructive testing (NDT) systems has emerged as a transformative approach to inspect critical components without impairing their serviceability. By combining ...

Learn how to evaluate AI code quality platforms using enterprise criteria including scalability, predictive insights, and business impact.

Defect detection in photovoltaic (PV) systems is critical to maintaining energy-conversion efficiency, safety and longevity of solar installations. Common defects include micro-cracks, hot spots, ...

The system features intuitive software and an extensive component library to simplify programming, reducing engineer workload ...

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, ...

SEMVision™ H20 enables better and faster analysis of nanoscale defects in leading-edge chips Second-generation “cold field emission” technology provides high-resolution imaging AI image recognition ...

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

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 ...

Figure 1. Enertis Applus+ technicians performing terrestrial nighttime EL inspection on a PV plant (left), while an aerial night-time EL inspection is being conducted using a drone (right). Image: ...