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

Łukasz Szklarski; Patryk Maik; Weronika Walczyk

doi:10.1117/12.2558044

24 April 2020 Developing a novel network of CBRNe sensors in response to existing capability gaps in current technologies

Łukasz Szklarski, Patryk Maik, Weronika Walczyk

Author Affiliations +

Proceedings Volume 11416, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXI; 114160Y (2020) https://doi.org/10.1117/12.2558044
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

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.

Conference Presentation

Citation Download Citation

Łukasz Szklarski, Patryk Maik, and Weronika Walczyk "Developing a novel network of CBRNe sensors in response to existing capability gaps in current technologies", Proc. SPIE 11416, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXI, 114160Y (24 April 2020); https://doi.org/10.1117/12.2558044

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