Imagine a smart home system, but for classrooms, that doesn't just track dust but identifies specific triggers like pollen or viruses. It uses wearable devices and a game-like app to see how these pollutants actually make children feel in real-time. Then, it suggests green, eco-friendly ways to clean the air based on who is most sensitive to the pollution.
Current indoor air monitors are too generic to protect highly susceptible children. There is a lack of tools that combine real-time pollutant sensing with individual health responses to trigger personalized alerts.
A multisensing platform for chemical and biological pollutants, a wearable sentinel device with a gamified app, and two eco-friendly air purifiers.
If you are a wearable device manufacturer dealing with a lack of environmental health data — this project developed a functional sentinel system, including a wearable and app that provides personalized alerts for asthma and allergy sufferers.
If you are an HVAC provider dealing with inefficient generic filtration — this project developed two eco-friendly air-purifying devices and a multisensing platform to target specific chemical and biological pollutants.
If you are an analytics firm dealing with complex environmental datasets — this project developed explainable AI for near-real time analysis of how multiple pollutants interact to affect childhood health.
Based on available project data, specific unit pricing is not provided, though the total EU contribution for development is EUR 6,662,223.
The project is currently in the testing phase across schools in 5 countries, indicating it is moving toward scale but is not yet a mass-market product.
Based on available project data, specific licensing terms are not listed, but the project generates FAIR data and a multisensing platform available for stakeholders.
The project aims to propose an improved regulatory framework to support the Zero Pollution Action Plan.
The project period runs from 2022-09-01 to 2026-08-31, with deliverables including a functional sentinel system.
The consortium is well-balanced for commercialization, featuring 23 partners with a 22% industry ratio (5 companies, including 6 SMEs). The mix of 9 universities and 7 research institutes ensures deep scientific validation, while the presence of SMEs suggests a path toward productization of the sensors and app.
Contact the National and Kapodistrian University of Athens
Contact us to explore licensing for the multisensing platform or AI analytics.
