on-device-machine-learning

This paper presents ARGO, a smart eyewear platform for on-device machine learning that integrates a multimodal sensor suite and an optimized YOLOv11 model for real-time urban obstacle recognition, achieving privacy-preserving local processing with low latency and a memory footprint of 2.483 MB.