5G-Enabled Edge AI for Real-Time Vision
RISE and Flasheye are developing common building blocks for deploying computer-vision applications at the network edge, combining 5G connectivity with local AI processing for faster, more responsive services.
RISE and Flasheye are jointly developing common building blocks and workflows for deploying computer-vision applications directly where data is generated, at the network edge. Within the Vinnova-funded project ED5GE Developer Community, RISE, Flasheye and a set of industrial partners and need owners are building four testbeds in Boden, Lulea, Skelleftea and Ultuna, where 5G connectivity is combined with edge computing capacity.
The Focus
The work focuses on creating easy-to-use interfaces for media ingestion and AI inference, lowering the barrier for rapid prototyping of video-based applications that can run close to sensors and devices instead of in distant cloud datacenters.
Real-World Applications
Agriculture
In Ultuna, drone imagery of crops and weeds is being collected to explore how AI-powered analysis at the edge can support more efficient and sustainable agriculture.
Safety Inspections
In Skelleftea, partners are investigating the use of drones to assess when snow needs to be cleared from roofs and when icicles and overhangs pose a safety risk, a use case where fast, local processing can enable timely decisions and reduce manual inspections.
Impact
Through this collaboration, RISE and Flasheye demonstrate how standardized edge workflows, combined with 5G, can enable new AI-driven services that are faster, more responsive, and less dependent on centralized infrastructure.
