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 ...

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, ...

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 ...

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 ...

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 ...

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 ...

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 ...