Embedded Computing Design

High-speed LAN solutions are on the rise in industrial automation, surveillance, and gaming markets. But as these higher-bandwidth connectivity options find themselves beyond the core network infrastructure they must compensate for interference issues associated with the size of PCIe form factors, many of which cannot fit into today's compact IPC system designs.

Champions of the open-standard ISA expect it to start displacing competitive offerings en masse over the next few years. While that remains to be seen, the introduction of custom RISC-V instruction extensions, the formation industry-specific working groups, and advances in tools are redefining the technology’s true winners.

IoT edge devices are continuing to emerge in smart manufacturing with the help of artificial intelligence and machine learning (AI/ML). As these spaces continue to make use of edge intelligence, IIoT is becoming more beneficial to the management and visibility of automated manufacturing facilities that improve reliability and efficiency.

Of course, implementing AI and machine learning in industrial environments where space, cost, and safe operation are paramount is not as straightforward as flipping a switch.

The COVID-19 pandemic has increased the need for smart, touchless, and reduced-contact shopping solutions, implemented either at the point of sale or through surveillance infrastructure. This has piqued interested in embedded AI technology, but to transform that interest into deployments, edge system OEMs and integrators need solutions that are high performance, with flexible connectivity, and designed to withstand varied commercial operating environments.

Developers worldwide are transitioning to programming languages like Python to increase their efficiency and time to market. If you’re going to make the switch for these reasons, you might as well go all the way.

Temperature constraints aren’t frequently discussed as a data bottleneck, but as more systems subjected to harsh environments are asked to join the IoT, that’s precisely what they are. It’s not uncommon, for example, for industrial or automotive embedded electronics to be subjected to temperatures as high as 125º C. In those instances, how do you ensure data integrity?

Ultra Temperature DDR4 DRAM modules from Innodisk.

On this episode of the Embedded Insiders, Brandon and Rich discuss recent findings that show 96% of manufacturing and automation companies who responded successfully to the COVID-19 pandemic had Industry 4.0 technology in place. But how? 

Safety- and mission-critical systems fail. But when they do, they have to fail safe and recover quickly. And, they can’t lose the most important part of the application – the data.

A hallmark of proven technology is viability in rugged industrial applications. And a true measure of that viability is how it performs under the rigors of mobile applications.

Rugged mobile systems architects can now check both boxes while adding cutting edge AI capabilities to their designs by adopting Syslogic's NVIDIA Jetson AGX Xavier-based Rugged Computer, the RML A3.

The fourth-annual IoT Device Security Virtual Conference will focus on securing all aspects of Industrial Environments, Automotive Platforms, and Mass-Market/Consumer Products, from the Edge to the Cloud, using techniques like AI, machine learning, and blockchain.

The combination of AI and Machine Vision is a game changer in industrial automation facilities. But that doesn’t make it any less complex. Unless you’re deploying with an application-ready industrial machine vision system like the APLEX Technology AVS-600.

Device Update for IoT Hub provides the scalability and reliability of Windows update technology optimized for IoT devices. By combining Device Update with the Pantavisor container engine for embedded Linux devices, release teams can maintain, update and secure IoT device fleets regardless of their architecture using modern DevOps best practices.

Does your design require robust storage with the performance and capacity of cutting-edge data center solutions but the safeguards of tried-and-true industrial memory? If so, you’ve been looking for the latest release in UD info Corp.’s M.2 2280 PCIe SSDs, the M2P-80DC Series.

The bleeding edge of NAND memory technology is focused almost exclusively on the consumer and data center markets. But as embedded systems incorporate more consumer- and data center-like capabilities, industrial-grade systems need to take advantage of breakthroughs in performance, too.

SSDs are one of the mainstays of modern embedded computing.

The heart of IoT is edge sensors, where analog signals begin their transformation into digital information. But there’s no such thing as a one-size-fits-all sensor; choosing which type is best suited for your application and how it will perform in real-world environments requires extensive evaluation before official development can even begin.

Why isn’t there a programming language yet that has been optimized for the IoT? Well, there is.

Vision systems for rail applications can serve many purposes, from the very mundane to those that can protect passengers. The obvious uses are to constantly monitor tracks to ensure that the railways remain clear of obstructions and to ensure that trains are where they are supposed to be at any given time.

No one will question the complexity of designing an AI solution that lives at the edge of the IoT. Wouldn’t it be nice if you had a head start on both the hardware and the software? That’s exactly what you get when you deploy your solution based on the Simply NUC Topaz, which hosts the latest 11th generation Intel® Core® processor. And this platform is not just for development – it can be used for deployment, too.

Developing True Wireless Stereo (TWS) solutions and looking for tools that will accelerate development, cut time to market, and give your product that artificially intelligent edge?