Project: Pollution Identification, Mapping, and Ecosystem Observation with AI-powered water quality USV
| Acronym | PIMEO AI (Reference Number: MarTERA-2019_10) |
| Duration | 01/03/2020 - 28/02/2022 |
| Project Topic | The aim is to fill a major gap for versatile instrumentation platforms capable to operate in a minimally-invasive fashion in highly diverse aquatic environments, carry complex water quality instrumentation, and integrate the embedded intelligence required to adaptively monitor the local environment. The PIMEO AL USV will fill an important market need for comprehensive water quality USVs, the market today being highly limited and aimed primarily at hydrology research. PIMEO AI will use an embedded AI system to provide augmented (and eventually automated) piloting making use of machine-learning algorithms, and will be connected to a secure cloud data platform to provide archival, centralization and analytics capabilities. Blockchain technology will be used to provide trust and traceability, such as securely managing the sensor data information as well as the identity of the stakeholders. Security and privacy compliance with GDPR will be ensured by implementing reliable, secure data transport and access. PIMEO AI will be tested operationally in highly-sensitive and fragile ecosystems that are subject to increasing anthropic pressures. |
| Website | visit project website |
| Network | MarTERA |
| Call | MarTERA Call 2019 |
Project partner
| Number | Name | Role | Country |
|---|---|---|---|
| 1 | FLUIDION SAS | Coordinator | France |
| 2 | Sorbonne Université | Partner | France |
| 3 | Beia Consult International | Partner | Romania |
| 4 | Constanta Maritime University | Partner | Romania |
| 5 | Institute of Geography, Romanian Academy | Partner | Romania |