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Country: France
7 Projects, page 1 of 2
  • Funder: European Commission Project Code: 732350
    Overall Budget: 17,364,000 EURFunder Contribution: 14,850,900 EUR

    The SoundCity Project MONICA aims to provide a very large scale demonstration of multiple existing and new Internet of Things technologies for Smarter Living. The solution will be deployed in 6 major cities in Europe. MONICA demonstrates a large scale IoT ecosystem that uses innovative wearable and portable IoT sensors and actuators with closed-loop back-end services integrated into an interoperable, cloud-based platform capable of offering a multitude of simultaneous, targeted applications. All ecosystems will be demonstrated in the scope of large scale city events, but have general applicability for dynamically deploying Smart City applications in many fixed locations such as airports, main traffic arterials, and construction sites. Moreover, it is inherent in the MONICA approach to identify the official standardisation potential areas in all stages of the project. MONICA will demonstrate an IoT platform in massive scale operating conditions; capable of handling at least 10.000 simultaneous real end-users with wearable and portable sensors using existing and emerging technologies (TRL 5-6) and based upon open standards and architectures. It will design, develop and deploy a platform capable of integrating large amounts of heterogeneous, interoperable IoT enabled sensors with different data capabilities (video, audio, data), resource constraints (wearables, Smartphones, Smartwatches), bandwidth (UWB, M2M), costs (professional, consumer), and deployment (wearable, mobile, fixed, airborne) as well as actuators (lights, LED, cameras, alarms, drones, loudspeakers). It will demo end-to-end, closed loop solutions covering everything from devices and middleware with semantic annotations through a multitude of wireless communication channels to cloud based applications and back to actuation networks. Humans-in-the-Loop is demonstrated through integrating Situational Awareness and Decision Support tools for organisers, security staff and sound engineers situation rooms.

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  • Funder: European Commission Project Code: 287595
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  • Funder: European Commission Project Code: 731974
    Overall Budget: 4,438,440 EURFunder Contribution: 3,816,440 EUR

    The idea of integrating the surgeon’s perceptive efficiency with the aid of new augmented reality (AR) visualization modalities has become a dominant topic of academic and industrial research in the medical domain since the 90’s. AR technology appeared to represent a significant development in the context of image-guided surgery (IGS). The quality of the AR experience affects the degree of acceptance among physicians and it depends on how well the virtual content is integrated into the real world spatially, photometrically and temporally. In this regard, wearable systems based on head-mounted displays (HMDs), offer the most ergonomic and easily translatable solution for many surgeries. Most of the AR HMDs fall into two categories according to the see-through paradigm they implement: video see-through (VST) and optical see-through (OST) HMDs. In OST systems, the user’s direct view of the real world is augmented with the projection of virtual information into the user’s line of sight. Differently, in VST systems the virtual content is merged with images captured by two external cameras anchored to the visor. With respect to technological and human-factor issues, both the approaches have their own strengths and shortcomings. In this project, we identified in a hybrid OST/VST HMD, a disruptive solution for improving surgical outcomes. The application driven device will be developed from existing systems and exploiting the knowhow acquired within the consortium on photonics KET technologies. The resulting device will undergo three clinical trials whose results will be fundamental towards a straight industrial exploitation comprising economic viability analysis. Video-Optical See Through AR surgical System (VOSTARS) will be the first hybrid see-through HMD surgical navigator. Further, albeit VOSTARS will be specifically designed for medical procedures, its design is aimed to evolve into a multi-purpose AR platform for HMDs.

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  • Funder: European Commission Project Code: 233605
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  • Funder: European Commission Project Code: 101016499
    Overall Budget: 6,461,390 EURFunder Contribution: 6,461,390 EUR

    In future 6G wireless networks, it is imperative to support more dynamic resourcing and connectivity to improve adaptability, performance, and trustworthiness in the presence of emerging human-centric services with heterogeneous computation needs. DEDICAT 6G aims to develop a smart connectivity platform using artificial intelligence and blockchain techniques that will enable 6G networks to combine the existing communication infrastructure with novel distribution of intelligence (data, computation and storage) at the edge to allow not only flexible, but also energy efficient realisation of the envisaged real-time experience. DEDICAT 6G takes the next vital step beyond 5G by addressing techniques for achieving and maintaining an efficient dynamic connectivity and intelligent placement of computation in the mobile network. In addition, the proposal targets the design and development of mechanisms for dynamic coverage extension through the exploitation of novel terminals and mobile client nodes, e.g., smart connected cars, robots and drones. DEDICAT also addresses security, privacy and trust assurance especially for mobile edge services and enablers for novel interaction between humans and digital systems. The aim is to achieve (i) more efficient use of resources; (ii) reduction of latency, response time, and energy consumption; (iii) reduction of operational and capital expenditures; and (iv) reinforcement of security, privacy and trust. DEDICAT 6G will focus on four use cases: Smart warehousing, Enhanced experiences, Public Safety and Smart Highway. The use cases will pilot the developed solutions via simulations and demonstrations in laboratory environments, and larger field evaluations exploiting various assets and testing facilities. The results are expected to show significant improvements in terms of intelligent network load balancing and resource allocation, extended connectivity, enhanced security, privacy and trust and human-machine interactions.

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