Deep learning finds numerous applications in machine vision solutions, particularly in enhancing image analysis and recognition tasks. Algorithmic models can be trained to recognize patterns, shapes ...

The amount of visual data in the world—and on the web—grows exponentially every day. This is thanks in part to the popularity of video, millions of networked IoT sensors, and the number of cameras, ...

Picking up unrecognized objects is largely an underdeveloped area of machine vision. CynLr is solving the problem with a product-agnostic robotic assembly line. In all industries, pursuing one ...

Forbes contributors publish independent expert analyses and insights. I write about contemporary cybersecurity and online privacy issues. Integrating computer vision technology is a big step forward ...

Finland’s University of Oulu is renowned as a leading centre for the development of advanced communications technologies, and now, in collaboration with Mid Sweden University, it has revealed the ...

PhD candidate Khadija Iddrisu discusses the challenge of ‘motion blur’ in computer-vision research and how the tech benefits the sports, medicine and driving sectors. Khadija Iddrisu is in the early ...

Demos include PC-based and FS42 camera-based deep learning optical character recognition, deep learning anomaly detection on the newly launched Zebra NS42 camera (Credit: Zebra) Machine vision, edge ...

Tech giant IBM is joining forces with MIT to push the boundaries of artificial intelligence and enable machines to realise visual and audio senses currently impossible today. The goal of the new ...

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...

HERTZLIYA, ISRAEL--(Marketwired - Nov 28, 2017) - eyeSight Technologies, a leader in advanced embedded computer vision and deep learning, has been awarded two new patents: one, referred to as the ...