The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring

Chemical reconnaissance, defined as hazards detection, identification, and monitoring, requires tools solutions which provide reliable precise data. In this field, the advances of artificial intelligence can be applied. This article aims to propose a novel approach for developing chemical reconnaissance system that relies on machine learning, modelling algorithms, well contaminant dispersion model combine signals from different sensors reduce false alarm rates. A case study European Union Horizon 2020 project–EU-SENSE is used main features are analysed: heterogeneous sensor nodes components, agents detected, architecture design. Through proposed approach, capabilities improved, resulting in more effective crisis management. The idea design developed other areas, namely, biological or radiological threat reconnaissance.