Air pollution is one of the largest risk factors for disease or premature death globally, yet current portable monitoring technology cannot provide adequate protection at a local community level.

• TRIAGE will develop a smart, compact and cost-effective air quality sampling sensor network for the hyperspectral detection of all relevant atmospheric pollution gases
• Resolution and selectivity will be significantly better than current solutions and lower cost
• Cloud-based deep-learning algorithms will enable automated short-term alerts and long-term trend analysis
• Extensive testing in urban settings with Swedish and Swiss environmental agencies and transport companies.

In TRIAGE, several technologies will be developed, integrated and demonstrated:

• 2-10 µm supercontinuum sources by NORBLIS and DTU
• Rugged low noise 2 µm pump laser by NKT Photonics
• High-performance multi-pass absorption cell by Senseair
• Infrared detector modules by VIGO System
• FT spectrometer by Radboud University
• The system will be integrated by CSEM
• Reference database by Radboud University
• Analysis and deep learning algorithms by CSEM

Linköping University will be responsible for the tests of functionality and long-term demonstration of the TRIAGE system.