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 ...

This press release covers image binning camera technology and its impact on pixel binning sensor performance, high frame rate ...

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 ...

Vadzo Imaging's Falcon-830CRH is an 8MP 4K color USB camera powered by the Onsemi AR0830 HyperLux LP sensor, combining ...

The Edge AI and Vision Alliance and SPIE, the international society for optics and photonics, have announced the next phase for growth for the Embedded Vision Summit, a conference and tradeshow for ...

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 ...

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 ...

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 ...

TAIPEI, Taiwan--(BUSINESS WIRE)--According to TrendForce research, the global smart manufacturing market will reach US$620 billion by 2026. Amongst the new technologies used in the burgeoning smart ...

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 ...