SOURCE-LINKED INTELLIGENCE
Smart systems for environmental pollution detection and biogas production based on cloud-connected silicon photonic and microelectronic hyperspectral sensors
tions in air quality control, pollution monitoring, industrial process control and safety. SYMPHONY will address this challenge by making key developments in silicon photonics, neuromorphic circuits, artificial intelligence, integration, and packaging, while exploiting state-of-the-art silicon microelectronics for ultra-low power edge computing with artificial intelligence, and the connected sensor network for spatially-resolved analysis and prediction. The main focus of SYMPHONY smart sensors are gases related to the biogas production and gases that have been identified by the European Environmental Agency (EEA) as highly pollutant and contributing to the greenhouse effect, such as CO2, CH4 and NO2. SYMPHONY smart sensors will be validated in three different relevant scenarios: city pollution monitoring in Cyprus, process control and leakage detection in biogas micro-plants in multiple locations in Europe. With this ambition in mind, SYMPHONY has gathered a transversal consortium, comprising three academic institutions, two research institutes, four companies and two end-users, comi
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4982272
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.