Embedded Computing Design

Robotics are one of the most important use cases for AI in Embedded Computing, and the applications and implications are only beginning to be identified.

But we’re not going to talk about the future applications of AI and robotics, right now. Instead, it’s important to look at the applications that are already in the field and working today.

Embedded systems are continuously chasing greater flexibility and high-performance computing capabilities while combating challenges in power consumption, speed, and integration. Demanding applications such as sensing systems, medical devices, robotics, remote applications, and industrial control systems require versatile platforms that can handle diverse computational workloads.

Barcelona, Spain. Semidynamics is now recruiting various engineers of all levels at its Barcelona headquarters. The company's workforce has expanded from 40 employees to 90 this year, with a target of 120 by early 2025.

AI has made its mark on just about every aspect of our lives, from professional to consumer, from medical care to autonomous vehicles. Retail applications are certainly no exception.

Today’s expansive range of embedded vision, industrial automation, advanced driver assisted systems (ADAS), and streaming/encoding applications can benefit from a platform enabling high-performance processing and flexible hardware customization for quick application prototyping and reliable system integration.

NUREMBERG, Germany -- AMD announced the expansion of the AMD Versal™ adaptive system on chip (SoC) portfolio with the new Versal AI Edge Series Gen 2 and Versal Prime Series Gen 2 adaptive SoCs designed to combine preprocessing, AI inference, and postprocessing on a single device for end-to-end acceleration of AI-driven embedded systems.

In a new announcement, the Thread Group has formally released the Thread 1.4 specification for implementation and has opened the certification program for applications.

To efficiently and reliably leverage artificial intelligence and machine learning capabilities at the edge of your demanding vehicle applications, AMRs, smart security, and smart inspection environments, a flexible solution equipped to handle complex data processing tasks in real time is ideal. Even more, that solution should also support a robust, fanless design with multiple connectivity options.

QNX and VxWorks are prominent real-time operating system choices in the embedded systems arena, each offering distinct advantages and a loyal customer base. As the field of embedded systems development undergoes change, both are evolving to meet new challenges.

Robotics is becoming an important part of operations in so many industries and verticals that it’s almost ubiquitous. But to accomplish all the advanced automation operations that robots can allow, you’re going to need an embedded compute solution that can do it all. And that means not just handling fast processing, but also being rugged and resilient, secure, low-latency, and great at connectivity.

Enclustra was approached by a customer with an idea to design a solution for monitoring the frequency spectrum of wireless telecommunication signals for systems security, i.e., to detect unwanted activity in the spectrum. The unwanted activity could occur at any frequency or time using any communication protocol. With today’s technology in mind, these requirements meant monitoring the frequency range of multiple GHz at a high resolution. Despite the challenging setup, Enclustra's expertise made this project a perfect fit.

In today's fast-paced technological landscape, staying competitive requires proactive strategies. Businesses are adopting cutting-edge trends without rashly, premature upgrades. Many are opting for expansion cards to enhance existing setups, offering a seamless and cost-effective way to boost capabilities. For trends like IoT and digital twins, faster and more robust connectivity is essential for gaining a head start.

But how fast is enough? What networking expansion solutions should you choose?

The Indian railway system is one of the most extensive and complex railway networks in the world, ranking fourth in size after the United States, Russia, and China. This expansive network plays a crucial role in connecting the vast regions of India, facilitating both passenger and freight transport across the country.

Today’s advanced industrial and IoT landscape faces the growing demand for real-time data processing at the edge of complex and modern systems. The range of applications that integrate into these existing infrastructures requires reliable connectivity, robust performance, and energy efficiency in a rugged and compact solution.

Industrial environments are often faced with harsh conditions that are demanding, and sometimes, unpredictable. Extreme temperatures, moisture, dust, and vibration are all factors that influence the reliability, performance, and overall lifetime of traditional systems. With the added demands of remote monitoring and industrial automation functions, it’s important that these mission- and safety-critical applications consistently withstand these challenges.

Starting with the release of Raspberry Pi Model B in 2012, Raspberry Pi has a history of innovation with a strong focus on user experience. Their expansion port designs enable easy customisation for specific applications, through Raspberry Pi add ons or developer created daughter boards.  Raspberry Pi compute modules introduced a smaller, more productizable form factor for commercial deployment.  A focus on software experience and high quality documentation enables everyone from young coders to seasoned developers to get the most out of their Raspberry Pi. 

FPGA technology has simplified and streamlined embedded systems in many industries, allowing OEMs to shrink sizes, improve performance, and drive down the cost of electronics applications.

The ever-evolving landscape of embedded industrial and IoT applications thrives when integrating compact, reliable, and flexible solutions in varying conditions. As we continue to grow within these spaces, we need platforms that seamlessly integrate into space-constrained environments while promoting power efficiency, robust performance, expansive connectivity and peripherals, and customization.

Low-power, scalable, reliable, and overall efficient wireless connectivity is a growing need for Internet of Things (IoT) devices. From applications like smart homes, human interface devices, and remote controls, to medical healthcare, automotive, and industrial automation, solutions like these can benefit from an advanced SoC leveraging Bluetooth technology.  

Various applications today rely on advanced and efficient video processing infrastructure capable of simultaneously managing multiple high-density and ultra-low latency video streams.