Hidden semiconductor defects often pass inspection but fail later in operation. Learn how latent defects form, evade detection, and drive long-term reliability failures.

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

The U.S. Defect Detection Market size is projected to grow from USD 1.50 Billion in 2025 to reach USD 3.08 Billion by 2035. The integration of AI-powered machine vision systems, strict regulatory ...

With Renishaw and Apex Additive Technologies, Addiguru is working to combine its multi-sensor monitoring platform, integrating optical, near-infrared (NIR), and long-wave infrared (LWIR) sensing, with ...

The application of tailored NDT techniques across all major aircraft components ensures that the most effective inspection ...

Modern advanced packaging processes and shrinking semiconductor device sizes mean that it is vital to consistently eliminate sub-20 nm defects and surface contaminants. To do this effectively, the ...

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 ...

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 ...

A recent spike in battery-related fires has highlighted the difficulty of spotting flaws in their production. Rarely visible to the naked eye, these flaws can lead to serious battery malfunctions. The ...

Engineers at The University of California San Diego are turning to ultrasound imaging technology — the very technology that uses sound waves to enable doctors to monitor babies in utero — to make ...