In a spot interview with Dario Galante of Enclustra, Ken Briodagh asks about FPGA, RF SoM, and custom designed solutions in embedded computing.

Veterinary care is evolving, and Enclustra’s Mercury+ MP1 module, powered by Microchip® PolarFire® technology, is at the forefront of this innovation. This advanced FPGA System-on-Module is built for portability, efficiency, and high performance, redefining what’s possible in veterinary ultrasound.

As a key player in the FPGA landscape, Enclustra is actively driving innovation in Vision AI applications. Embedded vision AI applications are revolutionizing industries by enabling highly complex real-time video stream processing and decision-making at the edge. These applications range from autonomous driving to smart manufacturing, where rapid analysis of visual data is critical. They demand real-time processing, low latency, and low power consumption to effectively analyze and interpret visual data.

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.