One company leads in machine vision for automation, while the other powers energy-efficient electronics, both with distinct ...

What’s driving the expanding landscape for machine vision? The role of low-power connectivity in advancing vision technology. Color and event-triggered image capture. Machine-vision systems have been ...

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...

The emerging role of dedicated vision processors. The different functions of a vision processor and a GPU. Some of the applications in which a vision processor can be appropriate. Systems that ...

As injuries persist despite strong safety programs, employers are turning to AI and computer vision to detect unseen risks, prevent incidents, and make safety a strategic advantage. Safety leaders ...

Artificial visual systems show great promise for perceiving complex and dynamic tasks in real world environments. Inspired by biological vision where neurons fire in response to stimuli, neuromorphic ...

Bustling cities need the requisite transportation networks that can keep them running smoothly. AI and computer vision-powered smart transportation enables smart cities to achieve that objective with ...

Environmental threats to machine vision cameras don't have to mean downtime. Here's how engineers and operators can protect ...