An industrial controller brings AI to machines, enabling local data processing and support for robotics, machine vision and ...

Machine vision has always played a critical role in ensuring safe, efficient, and reliable operation in many industrial settings. However, as vision-enabled machines become more numerous and the type ...

Roboflow's workflow combines real and synthetic training data to develop defect detection models for manufacturing applications (Image: Roboflow) Roboflow integrates Nvidia simulation tools to train m ...

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 ...

Machine vision systems are becoming increasingly common across multiple industries. Manufacturers use them to streamline quality control, self-driving vehicles implement them to navigate, and robots ...

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms that allow computer systems to process and interpret images and videos.

Data is pretty much everything when it comes to training AI systems, but accessing enough data to produce quality products that live up to their promise is a major challenge, even for companies with ...

In a keynote at the Splunk .conf25 event Monday Cisco President and Chief Product Officer Jeetu Patel unveiled the new Cisco Data Fabric architecture, based on the Splunk platform, and touted Splunk’s ...

Across New York City, signposts are being fitted with a new generation of traffic sensors. These sensors count pedestrians, cyclists, buses, trucks, and cars in real time. The devices use machine ...