Embedded Computing Design

As today’s data economy emerges, it demands that the valuable data we gather, share, and exchange is protected, especially in safety-critical applications where data is more valuable than nearly anywhere else.

Robust memory is one of many solutions that can help. But how can development teams quickly, safely, securely, and cost-effectively implement robust memory architectures that meet the requirements of standards like ISO 26262 and IEC 61508?

Rugged and lightweight are two characteristics not commonly associated together in industrial applications. But if you’re able to find a solution that combines these features, they can provide ease of use and flexibility for a diverse range of not only industrial, but also medical and consumer applications that regularly require this ergonomic usability in their mechanical designs.

On average, software engineers spend 20-25 percent of the development lifecycle on testing, and potentially much more when working on safety-critical systems. The worst part may be that your standard unit tests aren’t able to provide 100% code coverage.

Storage solutions for enterprise and industrial applications bring varying features to their respective industries. But what if there was one storage solution that encompassed both the advanced performance associated with enterprise storage and the high reliability provided by industrial storage? Well, there is.

IoT devices have notably made use of traditional hardware and software recovery solutions. However, as these devices continue to evolve, uninterrupted system operation is becoming more critical, meaning that the use cases and industries where these IoT solutions reside must increasingly possess superior reliability and recovery solutions.

Industrial IoT and Industry 4.0 technologies are revolutionizing the way manufacturers develop, deploy, and maintain operations within factory facilities to improve production efficiency. Some of these advancements include AGVs (Automated Guided Vehicles) and AMRs (Autonomous Mobile Robots) that assist human operators with tasks that not only enable greater accuracy but also save time and costs.

You can’t deny the statistics—people are killed on our roadways at an alarming rate due to excessive speeding. In fact, according to a national agency, speeding was a factor in 29% of all traffic fatalities in 2020, killing 11,258, or an average of over 30 people per day. It’s a global situation, from the Americas to Europe to Asia, including Taiwan.

Increased connectivity, intelligence, and data are required for edge-deployed applications. Devices designed for edge-based workloads must also provide flexibility and ruggedness, with the ability to perform remotely across various space-constrained applications.

On this episode, the Insiders and Jonathan Cobb, CEO of Ayla Networks, take a closer look at the long-discussed Matter standard from smart home connectivity - how far it will go, and when it will go.

Human-machine interfaces are integral parts of various embedded industries for the management, control, and visualization of devices. In the industrial sector, HMIs have their work cut out for them, as they’re often deployed in environments that are subject to extreme temperatures and can produce dirt, condensation, and more.

Higher performance in smaller form factors has been a hallmark of the electronics industry for the last 50 years. Only now it’s being realized in industrial PCs capable of locally executing AI alongside traditional deterministic and reliable control tasks.

Package that with the TDP and efficiency required by applications like drones, and what you have is a transformed intelligent edge.

A.I. Day September 20th, 2022

IoT devices are becoming part of our daily lives, which, if you think about it, makes their ability to easily and securely connect to the cloud critical future economies. We’d better put something in place to manage those cloud connections then, shouldn’t we?

Trains continue to travel at higher speeds, go longer distances, and carry more passengers. Without the proper safeguards in place, these facts could result in a less than desirable situation.

Networked devices that connect to the cloud and each other are inherently susceptible to cyberattack. To ensure built-in defenses are robust as possible, these systems must be protected from the time of manufacture until their decommissioning. This includes the unique identities that allow IoT devices to authenticate over PKI infrastructure.

Rather than an endgame, AI has become a starting point for many developers today. Like any type of engineering, you can start out with simple AI projects that run on basic embedded systems. But, like any type of engineering, the complexity can ramp up quickly. So can the complexity of underlying platforms.

More and more intelligence is now required at the edge. The demand is so high, you need your own server!

Machine vision, factory automation, robotics, and edge AI applications require embedded hardware that not only enables powerful computing but also includes a rugged and robust design that allows these applications to operate efficiently in the harsh environments in which they're deployed. 

FPGAs are a great tool to expedite the development of embedded systems, particularly IoT Edge devices. In most cases, those FPGAs for the basis of both the hardware and the programming model for the application.