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 ...

DALLAS & FORT WORTH, Texas--(BUSINESS WIRE)--Mouser Electronics, Inc., the New Product Introduction (NPI) leader™ empowering innovation, invites design engineers to visit its exhibit at Embedded ...

With Video Dragon, GÖPEL electronic is introducing a powerful test solution for embedded vision. The rapidly increasing ...

Presented as a virtual event, the Embedded Vision Summit will examine the latest developments in practical computer vision and edge AI processing. In my role as the summit’s general chair, I reviewed ...

The annual show for the embedded electronics supply chain showcased many innovations in edge AI and connected, intelligent ...

The Xilinx Kria K26 targets AO vision applications in smart cities and smart factories. The first product in the company’s new portfolio of SOMs is the Kria K26 SOM, specifically targeting vision AI ...

Deep learning techniques such as convolutional neural networks (CNN) have significantly increased the accuracy—and therefore the adoption rate—of embedded vision for embedded systems. Starting with ...

Embedded Vision and Inferencing are two critical technologies for many modern devices such as drones, autonomous cars, industrial robots, etc. Embedded vision uses computer vision to process images, ...

A pharmaceutical packaging line uses vision-guided robots to quickly pick syringes from conveyer belts and place them into packages. Source: Embedded Vision Alliance There’s always been a great deal ...

Imaging technologies such as x-rays and MRI have long been critical diagnostic tools used by healthcare professionals. But it's ultimately up to a human operator to analyze and interpret the images ...