Embedded Computing Design

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. 

In today's fast-paced industrial landscape, reliability, advanced computing performance, and flexibility are crucial for maintaining efficient operations in demanding environments. Industries like industrial automation, IoT gateways, security and surveillance, and edge AI  benefit from traditional computing solutions built with industrial-grade quality.

Today’s advanced edge computing applications are often met with high-performance computing, flexibility, and scalability demands. Because of the spaces these solutions are deployed in, from machine control and automation in rugged industrial IoT environments to human-machine interfaces in healthcare environments, the solutions utilized must meet these demands and much more.

The Olympics have arrived in Paris. For most, that’s a cause for celebration. But if your task is to monitor the flow of people, say for transportation needs, you likely have your hands full. The authorities who run the Paris Metro believe they are up to the task of effectively controlling the flow of people in and out of each subway car during the Olympics using a people-flow monitoring system. Such a system provides real-time people flow guidance information.

Data centers and enterprise environments require powerful processors for several critical reasons. These environments are increasingly tasked to support large and complex workloads, advanced virtualization support and cloud computing, AI-optimized features, advanced security features, and much more.

The modern world of IoT has found it challenging to develop a single solution that meets all the requirements of enterprise IoT, such as enhanced security in zero-trust environments, scalability, flexibility, and long-term operability, in environments like retail automation, industrial IoT, and remote healthcare industries.

According to a recent release, Synopsys has released the first complete PCIe 7.0 IP solution consisting of controller, IDE security module, PHY, and verification IP.

Smart homes, wearables, and small form-factor applications are confronted with meeting the versatility, energy efficiency, space constraints, and future-proof demands of today’s modern devices. In addition, these devices are also expected to provide seamless connectivity and performance with features like advanced, integrated wireless connectivity.

It’s easy to see that the future of embedded computing is entwined with computer vision, image processing, and other optical sensing and computational tasks. Everything from data collection to AI-driven facial recognition is reliant upon high-end embedded systems to manage the processing of those data and outputs, whether in the cloud, at the edge, or inside on-prem servers.

High-speed data transfer, simplified wiring, and strong signal integrity are important features of high-speed serializers and deserializers (SerDes) devices.

All entries are judged using a 15-point rubric, that assesses design excellence, relative performance, and market impact/disruption. Judging is managed by the ECD Content Team.

A growing number of designs in just about every application space are turning to AI for a plethora of reasons. As such, the technology is becoming an increasingly popular tool for the engineering community. The reasons for its popularity are many. For example, the end product can be more efficient by automating repetitive tasks, sifting through vast amounts of data for insights. By analyzing user behavior, market trends, and other relevant data points, designers can make more informed choices, leading to more effective designs.

System-on-modules, or SoMs, are small form-factor computing devices, or small computers, that combine critical components onto one PCB, typically measuring under 80 mm on a side. These devices often feature a processor, some memory and storage, and networking, audio, and video interfaces, all with varying specifications depending on your application's needs.