Fidus Systems

We’re bringing a live Person Re-Identification demo to embedded world Exhibition&Conference 2026. It’s running on an AMD Ryzen™ AI–based SAPPHIRE Technology Edge AI Mini-PC, and the focus isn’t the algorithm; it’s the system around it. When AI moves into an embedded architecture, the real questions start: ✅How do you partition the workload?  ✅Where do bottlenecks show up?  ✅What happens to power under sustained load?  ✅How do you validate behavior over time? That’s what we’ll be exploring live. If you’re attending Embedded World and would like dedicated time to discuss your current #embeddedsystem or product roadmap, you can schedule a meeting in advance via the link below. https://lnkd.in/edMVNKqU #EmbeddedWorld #EmbeddedSystems #EdgeAI #EW26 #AMD

Secure satellite communication isn’t a feature. It’s architecture. For this LEO payload program, we supported AMD Zynq UltraScale+–based board bring-up, early software validation, encrypted satellite-to-ground communication, and secure Yocto-driven upgrades. High-speed SpaceWire transport. Structured messaging. AES encryption. All integrated into a mission-ready platform. Complex aerospace systems demand disciplined integration. That’s where performance is won. Want to explore the full project breakdown? Link in the comments. #FPGA #FPGADesign #EmbeddedSystems #AMD #TogetherWeAdvance

embedded world Exhibition&Conference is where important technical conversations happen. Our leadership team will be in Nuremberg this March to meet with customers and partners working on complex embedded systems, FPGA platforms, and next-generation edge solutions. If you're attending and would like to connect, we welcome the opportunity.  📍 Hall 5 | Booth 5-128  📅 March 10–12, 2026 You can schedule time with our team in advance via the link below.  https://lnkd.in/edMVNKqU Shane Ecclesine, Scott Turnbull, Alan Coady, Colin W., and Nancy Hill #EmbeddedWorld #EmbeddedSystems #EdgeAI #EW26 

Resilient systems aren’t secured by software alone. They’re secured by hardware that enforces trust at every stage of the boot process. TPMs make that possible by providing silicon-level protection that verifies code, authenticates devices, and isolates sensitive operations from attack. From autonomous vehicles to industrial control systems, TPMs provide the hardware root of trust modern embedded platforms require. If you want more detail on TPM architecture and integration considerations, the link is in the comments. #EmbeddedSecurity #EmbeddedSystems #HardwareSecurity #TPM

One of the fastest ways embedded teams lose weeks: A design “passes” in simulation…and fails in the lab. Not because simulation is useless, but because every model is built on assumptions. Dr. Syed Bokhari, Signal Integrity Architect at Fidus, makes that point using a simple coax example: If you cascade two “50Ω” S-parameter blocks in a circuit simulator, the result will be 50Ω — because the model assumes ideal reference conditions. But real hardware introduces physical effects the simplified model may not account for. So what's the broader takeaway? The best teams don’t just simulate. They understand what the model represents—and its limits. When a system behaves “randomly” (intermittent faults, lane-to-lane variation, unexplained noise), it’s often not random. It’s an assumption you didn’t model. That’s how you build embedded systems that behave the same in the lab, in production, and in the field. Full webinar link in the comments. #SignalIntegrity #SI #SERDES #EmbeddedSystems #EmbeddedDesign

FPGA and software teams don’t just approach problems differently. They operate under different constraints. FPGA development is structured and timing-driven. Software development is iterative and adaptable. Both approaches make sense. But if they’re not aligned, integration becomes the bottleneck. Different tools. Different timelines. Even different definitions of what a “build” means. If you don’t address those differences early, they won’t sort themselves out. They’ll surface during integration. The teams that avoid late-stage surprises align milestones early, validate in shared environments, and treat co-design as something intentional—not incidental. #FPGA #EmbeddedSystems #EmbeddedDesign

Most partitioning mistakes aren’t performance problems. They’re architecture problems. If you're unsure where to split hardware and software, start with structure. This 5-step framework helps engineering teams make disciplined partitioning decisions—grounded in constraints, data movement, and integration realities. Because great systems don’t happen by accident. They’re built with intent. #EmbeddedSystems #EmbeddedDesign #SystemDesign #Partitioning

We’re looking forward to being back at embedded world Exhibition&Conference in Nuremberg (March 10–12, 2026) and connecting with teams building what’s next. Next-generation embedded systems demand more: low latency, deterministic performance, and scalable architectures. But those capabilities don’t unlock themselves. That’s where deep architecture experience makes the difference. As Scott Turnbull, CTO at Fidus, shares in this clip: we focus on being ready before our customers need the technology. If you’ll be there, stop by booth 5-128. Let’s talk about how to make the most of your system architecture. #EmbeddedWorld #EW26 #EmbeddedSystems Video credit: Embedded Computing Design | Interviewer: Ken Briodagh

Clarity and compliance aren’t optional in maritime systems—and they’re rarely achieved when RF, hardware, and software are treated as separate problems. We designed a turnkey Maritime AIS Class B Transponder Radio leveraging AMD/Xilinx FPGA technology, using an FPGA-based software-defined radio to deliver clean VHF transmit bursts and high-sensitivity AIS reception. A custom AIS Class B protocol stack runs on the onboard ARM processor, supported by disciplined signal and power integrity design. The result: a system independently tested to meet international AIS protocol and RF performance requirements—reducing late-stage integration and certification risk. #AMD #Xilinx #FPGA #EmbeddedSystems #RFDesign

We’ve all been there…trying to push more performance out of a system that’s already stretched. Sometimes, what you need isn’t more power. It’s a smarter approach. FPGAs give you flexibility, efficiency, and real-time capability that traditional platforms can’t always match. Here are four reasons more teams are choosing FPGAs for AI acceleration. #FPGA #FPGADesign #EmbeddedSystems #EmbeddedDesign #AIAcceleration