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 ...

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 ...

Keeping cameras in focus without constant refocusing may soon become much simpler with an ultrathin optical device that combines nanophotonics and computational imaging. Researchers at the University ...

In the present big data era, data is growing exponentially, and optical networks serve as the backbone for high-capacity and long-distance data transmission. Optical networks are always large scale, ...

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 ...

With all the embedded chip and software advances being made to machine vision systems, potential applications of the technology are expanding. Though some of the following applications cited by IoT ...

Tran Thi Bao Tran, Vietnam country manager, Zebra Technologies In logistics, items are generally variable – individual products, parcels, packages, and pallets come in a range of shapes, sizes, and ...

An interesting and counterintuitive fact is that machine vision systems inspect images, not parts. If the information needed for an inspection does not reach the camera, higher-resolution equipment ...