ARGO: Fully-sensorized Smart Eyewear Platform for On-device Machine Learning
Researchers introduce ARGO, a smart eyewear platform that integrates a multimodal sensor suite and leverages the STM32N6 microcontroller with an integrated NPU to perform on-device machine learning. The system runs an optimized YOLOv11 model for real-time urban obstacle recognition, achieving 10 FPS and approximately 113 minutes of operation on a 200 mAh battery. A novel Head-wise Parallel Attention (HPA) architecture enables efficient NPU execution with a memory footprint of just 2.483 MB.
Why it matters: This work demonstrates a significant advance in wearable AI by achieving real-time, privacy-preserving, and energy-efficient on-device inference through hardware-software co-design.
Full story at: arXiv Machine Learning ↗