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 ...

Is your company looking for an entry into industrial image processing on embedded vision platforms? Allied Vision Technologies' Embedded Vision Starter Kit may be the solution you've been searching ...

Solutions stack includes customizable reference designs for popular embedded vision use cases such as image sensor bridging, aggregation, splitting, and processing Includes support for new Lattice ...

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 ...

We use the term “embedded vision” to refer to the use of computer vision technology in embedded systems. Stated another way, “embedded vision” refers to embedded systems that extract meaning from ...

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, ...

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 ...

Michaël Uyttersprot, of Avnet Silica, discusses embedded vision and what is required to bring a system to market for real-world applications. Visual input is arguably the richest source of sensor ...

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 ...

The National Safety Council reports that 2016 was the deadliest year on US roads in a decade. Autonomous vehicles could eliminate the estimated 90 percent of crashes that are caused by human error, ...

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 ...