Concurrent Technologies released its Intel® Core™ i7 processor powered Helios, an ITAR-free Commercial Off The Shelf (COTS) rugged industrial computing vision system with optimal Size, Weight, Power and Cost (SWaP-C) envelope able to withstand the harshest edge environments. Included is an Nvidia® graphics module with adequate I/O and storage plasticity for command-and-control display, degrade vision enhancement, and 360° vehicle navigation.

The second article in our metaverse series focuses on defining the industrial metaverse, its building blocks, parallels with model-based systems engineering (MBSE), and examples of how modeling and simulation are being used to empower digital twin ecosystems.

The latest buzzword term in our industry, end-to-end management, has a lot to do with following the flow of a project from beginning to end. There’s been software available for decades to manage that process, but for the most part, it relies completely on the humans to do the work. The software simply tracks the progress and allows lots of different groups and individuals in global and remote locations to interact with the project.

A variety of medical device modalities and industrial edge applications can be improved with the addition of new features enabled by AI. Developers of these devices and equipment need a platform that enables AI at the edge.

NVIDIA announce the Jetson Orin Nano to be released in Q1 2023 and will be available integrated into a range of rugged Edge Computers from Impulse Embedded, a leading provider of industrial computing systems and solutions. Sitting on the entry-level side of Jetson’s offerings, this new module targets the growing demand for real-time processing capabilities in AI (Artificial Intelligence) devices such as smart cameras, handheld’s, smart meters, and service robots, where integrators often require a lower power and a more cost-effective solution.

The EAC-5000 is powered by NVIDIA’s® Jetson AGX Orin™ platform and is ideal for many solutions including: automated agricultural machinery, in-vehicle computing, robotic control, machine vision, intelligent video analytics, mobile robots, and other embedded AI applications.

SANTA CLARA, CA – Today, NVIDIA released a new line of Jetson Orin Nano system-on-modules (SoMs), an expansion of the previous Jetson Nano series that’s 80x faster with the ability to deliver up to 40 trillion operations per second (TOPS) of AI performance in a small, compact package.