An Affordable, miniaturisEd, clOud-connected system
powered by deep Learning algorithms for comprehensive air qUality measurements based on highly integrated mid-IR photonic
The quality of the air we breathe is a vital asset affecting human health and well-being, as well as environmental resources such as water, soil and forests.
AEOLUS aims to be the first to provide a field-tested holistic air quality solution that is affordable, cloud-connected and ‘smart’ as well as facilitating and encouraging citizen engagement and its widespread deployment into our communities, to meet the needs of Smart City applications and ultimately pave the way to effect necessary changes in our lives.
Meet the team
3 universities /
AEOLUS in a nutshell
|Project Coordinator||Prof. Hercules Avramopoulos (ICCS/NTUA)|
|Duration in months||36|
|Call (part) identifier||H2020-ICT-2020-2|
Advancing photonics technologies and application driven photonics components and the
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