Machine vision systems are becoming increasingly common across multiple industries. Manufacturers use them to streamline quality control, self-driving vehicles implement them to navigate, and robots ...

You look at an image of a black circle on a grid of circular dots. It resembles a hole burned into a piece of white mesh material, although it’s actually a flat, stationary image on a screen or piece ...

Neural networks (NNs) have emerged as a powerful paradigm across diverse scientific and technological domains, instigating transformative advancements in areas such as drug discovery, image processing ...

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

Can one see through a scattering medium like ground glass? Conventionally, such a feat would be deemed impossible. As light travel through an opaque medium, the information contained in the light ...

Line-scan vs. area-scan cameras. Key ingredients to the high-speed machine-vision system for inspection. How to synchronize the wafers with the camera. Optical semiconductor inspection presents ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Driven by the rapid expansion of AI infrastructure, demand for Fiber Array Units (FAUs) and other passive optical components is increasing across silicon photonics and co-packaged optics (CPO) ...

This research is expected to open up new frontiers in the realms of optical computing and machine learning. "In the burgeoning field of all-optical machine learning, nonlinear optical layers are key ...