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 ...

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, ...

What if you could see inside a sealed package without opening it? An inspection system does that and finds hidden defects and ...

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 ...

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

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 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, ...

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: ...

Electric vehicles, fast-charging infrastructure, renewable energy systems, and industrial power conversion are redefining what power semiconductors need to deliver: higher voltages, higher power ...

Örebro researchers Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, and supports sustainable manufacturing. Subscribe to ...