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, ...

Researchers in China have developed an unsupervised tensor decomposition algorithm that detects subtle, low-contrast fabric ...

Cross-process steel surface defect detection remains challenging because defect morphology, background texture, imaging conditions, and process-specific surface ...

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...

Indian Railways is set to enhance freight wagon operations using AI-based defect detection and predictive maintenance, aiming ...

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 ...

AI's ability to analyze data at lightning speed is proving especially useful in vision systems used to detect part defects in real time in plastics manufacturing. Traditional vision systems have ...

Manufacturing, a key component of global economies, is a complicated process that calls for precise quality control and intricate machinery. Product defect detection has traditionally been a ...

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 ...

Vision inspection systems for glass defect detection are industrial vision inspection systems designed to automatically detect minute scratches, foreign objects, bubbles, cracks, surface ...