SMARTEDGE enables dynamic integration of distributed intelligent edge services. Integration together with reliability, security and privacy is achieved by enabling semantic-based interoperation of edge devices via a cross-layer toolchain. This is to enable seamless mappability and composability of autonomous intelligence swarms in real time. Thus, an application can be freely created by distributing processing, data fusion, and control across heterogeneous sensors, devices, and edges with ubiquitous low-latency connectivity.

To achieve this, the following three main building blocks are developed using low-code tool programming environment:

Continuous Semantic Integration (CSI)

CSI enables the SMARTEDGE solution to interact with devices according to a (i) standardized semantic interface, via a (ii) continuous conversion process based on declarative mappings and scalable from edge to cloud, and (iii) providing a declarative approach for app creation and orchestration based on swarm intelligence.

Dynamic Swarm Network (DSW)

DSW provides (i) near real-time automatic discovery and dynamic network swarm creation, (ii) hardware-accelerated operations on the network for context-aware swarm networking, and (iii) embedded network security. 

Low-code toolchain

The low-code toolchain provides (i) semantic-driven multimodal stream fusion for edge devices; (ii) swarm elasticity via edge-cloud interplay; (iii) adaptive coordination and optimization; (iv) cross-layer toolchain for device-edge cloud continuum.

SMARTEDGE will validate its end-to-end tool-chain in five use case areas. Automotive, Urban, Factory and Health.

SMARTEDGE is funded by the European Union as part of the RIA research and innovation programme under grant agreement No. 101092908 and comprises 16 partners from seven countries.

Fraunhofer FOKUS business unit Future Applications and Media (FAME) is leading the work package for use cases, requirements, and architecture development. Primary activities of Fraunhofer FOKUS will be the development of metaverse based simulation environments for the use cases as well as the integration of use cases with the FAME 5G Media Testbed. FOKUS brings into the project expertise in the area of AI-enhanced virtual photorealistic environments within the metaverse. Leveraging various metaverse technologies and cutting-edge AI algorithms, we are dedicated to streamlining the creation, delivery, and evaluation of photorealistic scenes powered by the FAMIUM Metaverse Framework. In addition, we are contributing to the project our expertise from FAMIUM Deep Encode content classification and object recognition.