This course introduces the Lattice CrossLinkU-NX System-on-Module Human-Machine Interface Demonstration, a complete edge AI solution for Human-Machine Interaction. You’ll explore how the demo integrates an IMX219 camera with a CrossLinkU-NX FPGA-based SoM to enable real-time person and face detection, face validation, and identification—all optimized for ultra-low power operation. The training walks through the hardware setup, AI pipeline, and visualization via the EVE SDK and web application. By the end, you’ll understand how this reference design delivers scalable, energy-efficient AI for next-generation embedded vision applications.

Dive into a training that takes you from the essentials of Holoscan SDK and Sensor Bridge to advanced techniques for scaling and configuring high-speed camera interfaces. Learn to build modular pipelines, integrate new sensors effortlessly, and deliver ultra-low-latency data streaming for next-generation AI applications at the edge.