Developing a novel network of CBRNe sensors in response to existing capability gaps in current technologies
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Developing-a-novel-network-of-CBRNe-sensors-in-response-to-existing-capability-gaps-in-current-technologies.pdf (815.11 KB)
Date
2020
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SPIE digital libery / Proceedings Volume 11416, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXI; 114160Y (2020) https://doi.org/10.1117/12.2558044
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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.
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Citation
Łukasz Szklarski, Patryk Maik, 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); doi: 10.1117/12.2558044