Developing a novel network of CBRNe sensors in response to existing capability gaps in current technologies

The work on the discussed CBRNe system is conducted in the European consortium working on the EU-SENSE project funded by the European Commission under grant agreement no. 787031

State-of-the-art CBRNe detection systems are predominantly available as standalone detectors, rarely offering the potential of networking and data fusion. This paper presents a novel CBRNe detection and identification system based on the network of heterogeneous sensor nodes. The system uses a novel data fusion algorithm combining data from the sensors, advanced machine-learning and modelling algorithms to significantly reduce false alarm rates. The situational awareness tools and training compounds supplement the system to provide innovative real capabilities for CBRNe practitioners.