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UID:pretalx-eu-summit-2026-UCYLJC@cfp.riscv-europe.org
DTSTART;TZID=CET:20260610T120000
DTEND;TZID=CET:20260610T121500
DESCRIPTION:Smart eyewear promises unobtrusive\, context-aware human–comp
 uter interaction by leveraging strategically placed multimodal sensors and
  on-device intelligence. However\, integrating high-bandwidth sensing and 
 machine learning inference within a compact and lightweight form factor re
 mains challenging due to strict constraints in power consumption\, memory 
 footprint\, and computational efficiency.This work presents RVEdge-Vision\
 , an open hardware and software platform built on the RISC-V ecosystem tha
 t enables rapid prototyping and evaluation of next-generation smart glasse
 s. The platform adopts a modular architecture supporting both frame-based 
 and event-based vision sensors. To the best of our knowledge\, this is the
  first open smart-glasses platform integrating event-based vision sensing 
 in a glasses form factor\, enabling ultra-efficient visual perception for 
 wearable edge AI systems.\nThe system incorporates a hardware–software c
 o-designed power management framework optimized for battery-operated edge 
 devices and continuous sensing workloads. As a reference implementation\, 
 we present a compact smart-glasses prototype that integrates multimodal se
 nsing and on-device ML acceleration. The device can operate for several ho
 urs on a 300 mAh battery while sustaining real-time embedded vision worklo
 ads. A YOLOv8-based hand gesture recognition runs on-board with a few ms l
 atency without relying on cloud connectivity. By releasing the platform as
  open hardware\, OpenEdge RV aims to accelerate innovation within the RISC
 -V and open-edge AI communities\, providing a reproducible foundation for 
 research in wearable sensing\, neuromorphic vision\, and ultra-efficient o
 n-device intelligence.
DTSTAMP:20260522T163159Z
LOCATION:Plenary
SUMMARY:RVEdge-Vision: A Fully Open\, Ultra-Efficient On-Device AI Platform
  for Smart Eyewear - Michele Magno
URL:https://cfp.riscv-europe.org/eu-summit-2026/talk/UCYLJC/
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