Early versions of the products — no more than a decade old by now — are limited in comparison to newer versions that use these technologies. Lytx, a pioneer of video-based driver safety systems, ...

Computer vision has improved massively in recent years, but it’s still capable of making serious errors. So much so that there’s a whole field of research dedicated to studying pictures that are ...

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 ...

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 ...

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 ...

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, ...

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 ...

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 US machine vision market appears to be highly concentrated, but the tail of smaller vendors is vast. With the top three ...

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 ...