Machine vision for defect detection and recognition has evolved from classical image‐processing workflows—such as thresholding, edge detection and template matching—to sophisticated deep learning ...

“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Smart Manufacturing relies on perfect quality control, yet many vital checks, like visual inspection of finished products, are still done manually. In high-volume production, this human-led process is ...

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 ...

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...

Forbes contributors publish independent expert analyses and insights. I write about contemporary cybersecurity and online privacy issues. Integrating computer vision technology is a big step forward ...