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.
Thanks to the COVID-19 pandemic, the world is a different place and in many respects, it’ll never go back to how it was before. One glaring example is in the healthcare industry, where both in-hospital care and remote care have changed forever.
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.
History shows that passengers want to be kept of abreast of the latest information concerning their travel, regardless of the means of transportation. For instance, while traveling on a bus or train, they want to know when their train will be departing, when it will arrive at its destination, what delays may occur along the way, information about the various stops/stations that are encountered, and so on. That multimedia information should be informative, and can also be entertaining.
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.
Modern SoCs are so powerful and complex that it’s difficult to extract all of their speed and performance on an embedded module that can get you to market quickly. In most cases, your best bet is to turn to an expert.
Size, weight, and power consumption make it difficult to get data center-class AI performance to industrial machine vision, in-vehicle computing, and intelligent security and surveillance (ISS) applications at the edge. Enter the 105 mm x 190 mm x 360 mm Cincoze GP-3000.
Adhering to the requirements of complex functional safety standards like ISO 26262, EN 50128, and IEC 61508 is, well, complex. Just consider the amount of code coverage this requires, in everything from application software to the various conditions that exist within libraries like C90 and C99 used in all C compilers. That means providing code coverage for code you didn’t even write!
The Trusted Computing Group’s (TCG’s) Trusted Platform Module 2.0 (TPM 2.0) specification provides the foundation for building hardware-based cryptographic processing functions into modern-day electronic systems. But where do you go from there?
Increased demand for functionality in Industry 4.0 and 5.0 environments means that embedded systems are becoming more complex. And as system capabilities grow, a single processor often won’t cut it. So Texas Instruments keeps adding others.