Project description
A disruptive Edge-to-Fog-to-Cloud ubiquitous computing framework
Handling, processing and delivering data from millions of devices around the world is a complex and remarkable feat that hinges on edge computing systems. While edge computing brings computation and data storage closer, fog computing is what brings analytic services to the edge of the network. It’s an alternative to cloud computing. The EU-funded MARVEL project will develop an Edge-to-Fog-to-Cloud ubiquitous computing framework to enable multimodal perception and intelligence for audio-visual scene recognition, event detection and situational awareness in a Smart City Environment. It will collect, analyse and data-mine multimodal audio-visual streaming data to improve the quality of life and services to citizens within the smart city paradigm, without violating ethical and privacy limits, in an AI-responsible manner.
Objective
The “Smart City” paradigm aims to support new forms of monitoring and managing of resources as well as to provide situational awareness in decision-making fulfilling the objective of servicing the citizen, while ensuring that it meets the needs of present and future generations with respect to economic, social and environmental aspects. Considering the city as a complex and dynamic system involving different interconnected spatial, social, economic, and physical processes subject to temporal changes and continually modified by human actions. Big Data, fog, and edge computing technologies have significant potential in various scenarios considering each city individual tactical strategy. However, one critical aspect is to encapsulate the complexity of a city and support accurate, cross-scale and in-time predictions based on the ubiquitous spatio-temporal data of high-volume, high-velocity and of high-variety.
To address this challenge, MARVEL delivers a disruptive Edge-to-Fog-to-Cloud ubiquitous computing framework that enables multi-modal perception and intelligence for audio-visual scene recognition, event detection in a smart city environment. MARVEL aims to collect, analyse and data mine multi-modal audio-visual data streams of a Smart City and help decision makers to improve the quality of life and services to the citizens without violating ethical and privacy limits in an AI-responsible manner. This is achieved via: (i) fusing large scale distributed multi-modal audio-visual data in real-time; (ii) achieving fast time-to-insights; (iii) supporting automated decision making at all levels of the E2F2C stack; and iv) delivering a personalized federated learning approach, where joint multi modal representations and models are co-designed and improved continuously through privacy aware sharing of personalized fog and edge models of all interested parties.
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Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
70013 Irakleio
Greece
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Participants (17)
85579 Neubiberg
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8000 Aarhus C
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28037 Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
28760 Tres Cantos Madrid
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00185 Roma
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1253 Luxembourg
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38122 Trento
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82205 Gilching
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
33100 Tampere
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75008 Paris
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
6300 ZUG
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38122 Trento
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21000 Novi Sad
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115 25 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
MGR 221 Mgarr
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
152 38 CHALANDRI - ATHINA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
61 704 Poznan
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