Embedded Computing Design

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?

Need to analyze an IoT web app for vulnerabilities that could leak sensitive data? Need to comply with regulations like PCI DSS or GDPR, but not interrupt your continuous integration and delivery (CI/CD) workflows? If so, you need a vulnerability seeker.

More connected electronic devices means more code. And more code means more bugs. And more bugs means more continuous integration and continuous deliver (CI/CD) is needed to keep devices up to date without impacting end user experience.

In this week’s Embedded Insiders, Brandon and Rich try to decide if data sheets specs are reliable, or if industry benchmarks are the only reasonably- accurate measure of component performance without actually testing them yourself.

How can you design high-performance systems without a high-performance development platform?

How can you be sure that your electronic devices are secure through the manufacturing process, and will remain so once they leave the factory for the next two, five, ten or more years? Infineon’s OPTIGA Authenticate Identity of Things, or “IDoT,” is a discrete authentication chip designed to help OEMs and system integrators protect products during and after production.

With more everyday objects becoming smart and electrified, today’s product design teams need development equipment as modern as the systems they build. And, they need to be able to analyze as many relevant signals as possible in the same place, preferably at the same time.

Need client-side data transfer via popular Internet protocols like HTTP and HTTPS, but in an embedded-scale package that will work with 32-bit processor architectures and use less than100 KB of memory? You’ve come to the right place.

As SoCs and memory provide more capabilities, they also become more complex. And the more complex they become, the more difficult the verification process is for chip designers. They need increasingly advanced simulation technology that ensures each circuit meets the chip’s specifications and requirements.