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.

In the past, FPGAs were predominantly utilized for higher value projects. Thanks to their flexibility, vast data processing capability, minimal latency, and deterministic timing, FPGAs excel in industries such as telecommunications and industrial, driving features like AI, and autonomous systems.

Enclustra is partnering with SGET to showcase the coin-sized Titan Pluto XZU20 at the SGET booth during this year’s inaugural embedded world North America. Gaël Paul, Vice President of Innovation at Enclustra commented, “The Pluto system-on-module series makes it easier than ever for device makers to leverage the benefits of FPGAs in compact, portable solutions, enabling limitless possibilities in remote monitoring, sensing, and industrial control applications.”

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.

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.

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.

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.