Machine vision refers to a computer being able to see. Often, the computers use different cameras for video, Analog-to-Digital Conversion), and DSP (Digital Signal Processing) to see. After this, the ...

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Researchers from machine learning lab OpenAI have discovered that their state-of-the-art computer vision ...

Although machine vision may seem like a new concept, we can trace its origins to the 1960s. Back then, machine vision existed as raw image files. A paradigm shift happened with the advent of digital ...

Advances in additive manufacturing, also known as 3D printing, have generated increasingly powerful capabilities for producing geometrically complex structures that could not be made using ...

Machine vision systems are a staple in production lines for barcode reading, quality control and inventory management. And, as the Industrial Internet of Things (IIoT) continues to expand its reach, ...

Deep learning is rapidly becoming an indispensable element in machine vision solutions. Its application is proving to be particularly useful for identifying objects and features in images. Deep ...

The implementation of machine vision in finance is proving to be beneficial not only to businesses but also to consumers in general. Although it seemed far-fetched five years ago, financial ...

Machine-vision systems use very short flashes of intense light to produce high-speed images employed in a wide variety of data-processing applications. For instance, fast-moving conveyor belts are run ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

Working on a machine vision project requires understanding each part of the system, including light sources, frame grabbers, and computers. Here is a primer on two essential machine-vision terms.

Next-generation steering technologies for lidar are making machine vision cheaper and more portable. Janelle Shane describes how these advances could apply to autonomous vehicles Edge case: The real ...