The idea of these so-called perception-driven systems is to interpret raw sensor data and convert it into actionable understanding. So, they capture the images as traditional machine vision would, but ...

Machine vision and embedded vision systems both fulfill important roles in industry, especially in process control and automation. The difference between the two lies primarily in image processing ...

We salute hackers who make technology useful for people in emerging markets. Leigh Johnson joined that select group when she accepted the challenge to build portable machine vision units that work ...

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 ...

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 ...

Parallel LED drivers can be used to create the fast, square, high-current waveforms required for automated image processing. And it’s possible to extend such waveforms to higher currents by connecting ...

Communication is key in relationships — and that includes those between the operator of an inspection system, its process controls, and the vision equipment used to inspect that process. New ...

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 ...