Fed4FIRE+ is an Integrating Project under the European Union’s Programme Horizon 2020, addressing the work programme topic Future Internet Research and Experimentation. It started in January 2017 and will run for 60 months, until the end of September 2021.
FI-STAR will establish early trials in the Health Care domain building on Future Internet (FI) technology leveraging on the outcomes of FI-PPP Phase 1. It will become self-sufficient after the end of the project and will continue on a sustainable business model by several partners.
FIESTA aims to empower Experimentation-as-a-Service (EaaS) for sharing and reusing IoT data. The project is going to provide a blueprint experimental infrastructure, tools, techniques, processes and best practices for enabling IoT testbed/platforms operators to interconnect their facilities in an interoperable way.
FI-WARE will deliver a novel service infrastructure, building upon elements (called Generic Enablers) which offer reusable and commonly shared functions making it easier to develop Future Internet Applications in multiple sectors. This infrastructure will bring significant and quantifiable improvements in the performance, reliability and production costs linked to Internet Applications – building a true foundation for the Future Internet.
Potholes, graffiti or burned out lamps: everyone has seen such nuisances in public spaces. If there were only a way to let the right people in local government know! With Mashup technologies and mobile applications, the right solution can be delivered quickly.
The project is part of the Fraunhofer MAVO (“Marktorientierte Strategische Vorlaufforschung”, German for: “Market Oriented Strategic Advanced Research”) Initiative and is considered of top strategic relevance in the scope of wireless communication for the Industry 4.0.
The aim of FLEXCoop is to introduce a fully automated demand response framework and a tool environment for private electricity generators and consumers.
Before a vehicle can travel automatically, it must be able to “see” and recognize objects autonomously. The Fraunhofer lidar labeling tool, called “FLLT.AI”, supports AI developers, labeling experts and software developers of automotive manufacturers and their suppliers as well as sensor manufacturers in analyzing and annotating image data from cameras and lidar sensors.