This session dives into building ultra-low-latency, deterministic vision pipelines for edge applications using FPGA-based architectures. It explores technical bottlenecks such as latency, bandwidth, and determinism, and provides practical design strategies—like leveraging streaming architectures, minimizing external memory use, and preferring fixed-point over floating-point for efficiency. Developers will learn how to optimize image-processing tasks and implement hot-swappable filters and neural networks without full bitstream rebuilds. The talk also introduces Agilex™ 3 FPGAs and Quartus® Prime tools, highlighting their DSP capabilities, security features, and performance benefits for vision workloads. Real-world use cases include ADAS, robotics, inline inspection, and AR/VR, where sub-frame latency and deterministic behavior are critical. Finally, Adam walks through how Visual Designer Studio accelerates IP customization and parameterization for rapid prototyping.
This session is part of our “Innovators Day Webinar Series”. Registration/event page here.
Founder & Lead Engineer of Adiuvo Engineering & Training, Ltd.
Adam Taylor, CEng FIET, is a leading expert in embedded systems and FPGA design, including system-on-chip architectures, with applications in space, defense, and mission-critical systems. He has made significant contributions to image processing...