【Endpoint AI】Nuvoton Gesture Recognition: A High-Performance Application For MCU AI
With the rapid development of artificial intelligence technology, gesture recognition systems have become increasingly popular in fields such as smart homes, human-computer interaction, and virtual reality. These technologies not only enhance user convenience but also introduce revolutionary ways of interaction. To meet these application needs, Nuvoton Technology has introduced a reference design for a gesture recognition system, aimed at providing a low-power, high-performance solution for various real-time application scenarios.
The core hardware of this system adopts the Arm® Cortex®-M55- and Arm® Ethos™-U55- based microcontroller. This NuMicro® M55M1 microcontroller not only offers powerful computing capabilities but also features excellent low-power characteristics, making it especially suitable for resource-constrained embedded systems.
The NuMicro® M55M1 comes with 1.5 MB of built-in SRAM and supports a variety of external memory options, including QSPI, SDHC, EBI 16-bit, and HYPERRAM™. Most importantly, the system integrates a powerful Neural Processing Unit (NPU) — the Arm Ethos-U55 — specifically designed to provide robust AI processing power for embedded applications, while also maintaining exceptional energy efficiency. With this hardware architecture, we can run lightweight YOLO models in embedded environments, enabling real-time gesture recognition and providing flexible and efficient solutions for various applications.