Imagine a high-tech security camera for the air that can tell the difference between a grain of pollen and a fungal spore in an instant. Instead of waiting days for a lab to count particles manually, this system uses lasers and AI to spot triggers immediately. It's like moving from a monthly paper statement to a real-time banking app for air quality.
Current bioaerosol monitoring lacks the speed and coverage needed for real-time health and agricultural alerts. This gap leads to poor quality of life for millions and inefficient crop management.
A system of real-time bioaerosol monitors using lasers and holographic imaging, paired with AI classifiers and an open-source ICT distribution infrastructure.
If you are a health app developer dealing with the needs of 80 million Europeans with allergies — this project developed real-time bioaerosol monitors that provide immediate alerts on pollen levels to improve patient quality of life.
If you are a farming service provider dealing with crop pathogens and invasive species — this project developed automated monitoring technology that identifies airborne spores to enable precise, knowledge-based pesticide application.
If you are a research agency dealing with the impact of climate change on bioaerosols — this project developed atmospheric profile sensors (tTRL7) that track how particles interact with clouds and precipitation.
Based on available project data, the specific unit price or implementation cost is not provided, although the project addresses a societal cost of over €50 billion/year.
The project is advancing in situ monitoring to target TRL8 and atmospheric/eDNA measurements to tTRL7, indicating it is moving toward full industrial readiness.
The project creates ICT infrastructure and software following open-source principles to ensure wide technology uptake.
The project period runs from 2023-01-01 to 2026-12-31, suggesting full validation by the end of 2026.
The system is designed to connect to European environmental observing systems via a dedicated ICT infrastructure.
The consortium is well-balanced for technology transfer, consisting of 12 partners across 9 countries. With a 17% industry ratio (including 2 SMEs), the project blends academic research (4 universities, 4 research centers) with commercial application, ensuring that the high-end imaging and laser techniques are validated for real-world operational use.
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