This demo showcases an ultra-low-power IoT system powered by Silicon Labs' SiWx917, a highly efficient Wi-Fi 6 SoC designed for energy harvesting applications. Operating entirely without a battery, the system is powered by indoor photovoltaic (PV) cells and maintains continuous, low-power connectivity via Wi-Fi 6 Target Wake Time (TWT) for secure and efficient data transmission.

A fully integrated web dashboard provides real-time sensor readings, while an AI-driven alert system offers customizable notifications for critical changes.

Our collaboration with Qorvo features an innovative human-machine interface (HMI) leveraging MEMS force sensors for multi-zone pressure detection. Unlike traditional capacitive or mechanical keypads, this solution is compatible with the use of any surface material, allowing a  smooth design, offering the additional UI dimension of “intent.”

Built on the Qualcomm Dragonwing™ QCM6490 processor, this Edge AI-driven solution utilizes computer vision and deep learning to translate American Sign Language (ASL) finger-spelling gestures into text.