The emerging role of dedicated vision processors. The different functions of a vision processor and a GPU. Some of the applications in which a vision processor can be appropriate. Systems that ...

In the last five years, facial recognition has become a battleground for the future of artificial intelligence (AI). This controversial technology encapsulates public fears about inescapable ...

RAILWAY AGE, SEPTEMBER 2020 ISSUE: Whether it’s the track structure or the equipment that operates on it, there are many things that the naked eye cannot readily see. Increasingly, machine vision ...

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 ...

Machine vision has an impressive record. It has the superhuman ability to recognize people, faces and objects. It can even recognize many different kinds of actions, albeit not quite as well as humans ...

Machine vision systems involve a combination of software and hardware, including a camera to capture an image and a computer to analyze it with dedicated algorithms. Those algorithms, termed neural ...

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 ...

Traditional technology companies and startups are racing to combine machine vision with AI/ML, enabling it to “see” far more than just pixel data from sensors, and opening up new opportunities across ...

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Researchers from machine learning lab OpenAI have discovered that their state-of-the-art computer vision ...

One of the simplest ways to understand a machine vision system is to consider it the “eyes” of a machine. The system uses digital input that’s captured by a camera to determine action. Businesses use ...