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An Affordable, miniaturisEd, clOud-connected system powered by deep Learning algorithms for comprehensive air qUality measurements based on highly integrated mid-IR photonic

Objective

AEOLUS, leveraging on the experience of its partners on novel photonic components (e.g. broadband thermal emitter, graphene photodetector), will demonstrate in an operational environment (TRL 7) an affordable, miniaturised, multi-gas (10 - 15 gases) sensor based on highly integrated photonic chips in the mid-IR (3 μm - 10 μm). AEOLUS sensors will be cloud connected, deployed in an existing IoT testbed, while the plethora of data acquired will be used to develop deep learning algorithms for chemometric analysis.
AEOLUS sensing system will demonstrate the calculation and accurate prediction of indoor and outdoor air quality, greenhouse gases concentration, and toxic gas leakages detection. The sensing system will provide many functionalities for the end-user such as real-time alerts, notifications, visualized reports and overlays while it will allow taking automatic actions where they are needed. AEOLUS will also demonstrate how user engagement can be promoted through its system, employing gamification concepts and incentivise the end users.
AEOLUS targets for a cheap portable sensor, tested for its interoperability, with many functionalities and quality of life services, targeting a very wide range of applications to ensure its widespread deployment. The proliferation of the AEOLUS sensor in the community acts in an exponential manner (leveraging Big Data techniques and Deep Learning algorithms), further enhancing the system’s accuracy and speed. AEOLUS sensing system is completely in line with its industrial partners' roadmaps and exploitation plans and it is foreseen to have a product in the market 0-2 years from the end of the project.
Ultimately, the acquired data and analysis will be made available to policy-makers and stakeholders, so that AEOLUS has a far-reaching impact in EU’s citizens life.

Field of science

  • /natural sciences/computer and information sciences/data science/big data
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/sensors
  • /engineering and technology/environmental engineering/air pollution engineering
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning

Call for proposal

H2020-ICT-2020-2
See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
Address
Patission Str. 42
10682 Athina
Greece
Activity type
Research Organisations
EU contribution
€ 716 250

Participants (6)

KUNGLIGA TEKNISKA HOEGSKOLAN
Sweden
EU contribution
€ 727 650
Address
Brinellvagen 8
100 44 Stockholm
Activity type
Higher or Secondary Education Establishments
TECHNISCHE UNIVERSITAT BERLIN
Germany
EU contribution
€ 544 215
Address
Strasse Des 17 Juni 135
10623 Berlin
Activity type
Higher or Secondary Education Establishments
GESELLSCHAFT FUR ANGEWANDTE MIKRO UND OPTOELEKTRONIK MIT BESCHRANKTERHAFTUNG AMO GMBH
Germany
EU contribution
€ 816 250
Address
Otto Blumenthal Strasse
52074 Aachen
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SENSEAIR AB
Sweden
EU contribution
€ 600 250
Address
Po Box 96
820 60 Delsbo
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ACCENTURE MONOPROSOPI ANONYMI ETAIREIA ORGANOSIS PLIROFORIKIS KAI ANAPTYKSIS EPIXEIRISEON
Greece
EU contribution
€ 315 043,75
Address
Arkadias 1
14564 Kifisia-athina
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
COSMOTE KINITES TILEPIKOINONIES AE
Greece
EU contribution
€ 316 750
Address
Kifissias 99
15124 Athens
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)