AI-supported Holographic Environmental Water Monitoring
ESR24-053 project on AI-assisted holographic microscopy for environmental water monitoring
Project Overview
HoloWaterAI focuses on improving environmental and drinking water monitoring for Vienna’s critical water infrastructure. Using autonomous holographic microscopy and machine learning, the project identifies light-scattering objects causing turbidity, including sediments, plastics, plant fragments, animals, algae, and bacteria.
The resulting high-resolution object data is linked with upstream environmental changes and operational water parameters to enable better real-time decisions and long-term quality insights.
Funding & Project Details
- Funding Programme: Environmental Systems Research - Urban Environments (ESR24-053)
- Project Title: AI-supported Holographic Environmental Water Monitoring
- Principal Investigator: Peter Van Oostrum (BOKU)
- Co-Principal Investigator: Ivona Brandić (TU Wien)
- Institution(s): BOKU, TU Wien
- Status: Ongoing (01.02.2025 – 31.01.2029)
- Grant ID: 10.47379/ESR24053
- Project Link: WWTF Project Page
Methods & Innovation
- Autonomous holographic microscopy for continuous sampling
- Image analysis of individual scattering objects
- AI-supported time-series analysis for drift and anomaly detection
- Digital twin integration for real-time monitoring and decision support
- IoT-enabled environmental sensing and data fusion