Fully-sensorized smart-eyewear platform for on-device Machine Learning
The ARGO smart eyewear platform uses the STM32N6 microcontroller to run on-device machine learning for real-time obstacle detection.
ARGO integrates hardware, firmware, and AI to enable local processing on smart glasses. By utilizing the STM32N6's Neural Processing Unit, it runs an optimized YOLOv11 model for urban obstacle recognition, reducing latency and improving privacy compared to cloud-based alternatives.