Imagine a video call where you don't just see a face, but can actually step into a 3D version of your colleague's office or factory floor. It's like mixing a Zoom call with a high-tech video game, allowing people to point at real machines or share 3D objects as if they were in the same room. This makes expert help available anywhere without anyone needing to travel.
High-end XR tools are too complex and expensive for SMEs to set up, requiring manual calibration and digitalization of assets. This leaves a gap between simple 2D video calls and advanced 3D collaboration.
A Mediation Gateway for XR devices and an AI-powered meeting assistant. It includes tools for instant 3D reconstruction of environments and integration of IoT devices into virtual spaces.
If you are an industrial production plant dealing with equipment breakdowns and a lack of on-site experts — this project developed a system that allows remote specialists to see a 3D model of the environment and point to specific areas for repair. This reduces downtime by enabling real-time remote guidance.
If you are a professional services firm dealing with unproductive long-distance business meetings — this project developed AI-powered meeting assistants that provide automatic summarization and translation. This turns standard video calls into interactive 3D spaces for better document exchange.
If you are a technical training center dealing with the high cost of physical workshops — this project developed remote training pilots using XR. This allows students to interact with digital twins of machines in a shared virtual space.
Based on available project data, specific pricing or cost details are not provided.
Yes, the system uses the Rainbow solution from Alcatel Lucent Enterprise as a backbone, which already serves more than 3 million users worldwide.
Based on available project data, the core system is delivered with open APIs and includes open calls for third-party extensions, though specific licensing terms are not listed.
The project uses a Mediation Gateway platform to support heterogeneous services and end devices, ensuring it works across different XR hardware.
The project period runs from 2022-09-01 to 2025-09-30, suggesting the final results will be ready by late 2025.
The consortium is heavily weighted toward commercial application, with 50% of the 10 partners being industrial entities, including 4 SMEs. This balance between 2 universities and 2 research centers ensures that the technical development is grounded in real-world business needs across 7 different European countries.
Contact DFKI (Deutsches Forschungszentrum für Künstliche Intelligenz GmbH) in Germany.
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