CBRNE sensors: intelligent systems

Darren K. Emge

doi:10.1117/12.2588549

12 April 2021 CBRNE sensors: intelligent systems

Darren K. Emge

Proceedings Volume 11749, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXII; 117490M (2021) https://doi.org/10.1117/12.2588549
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

“Intelligent Systems”, machines that respond to the world around them and machines that interact with humans to change the dynamic of physical or social interaction. In the chemical, biological, radiological, nuclear, and explosives (CBRNE) detection world the focus is currently on the former definition with the advent of what some call “smart systems” based upon the common goal of creating CBRNE sensors that can respond and adapt to the environment in which they operate. Responses can be as simple as tipping and cuing of additional assets or resources to address changes in environment or operating conditions. Or on deeper level, the control systems and algorithms that operate/control these systems autonomously adapting to changes in both the operational characteristics and current conditions. Ideally a system could self-monitor its inherent capabilities and, for example, adjust dwell or sampling times base upon learned or defined characteristics. The concept of self-learning or machine learning within a sensor aligns with the current popularism of artificial intelligence (AI). However, within the CBRNE sensor community there is an inherent lack of the depth and breadth of data to actualize a functional AI to address these problems. In reality the information or data could be quite limited and the need to be able to operate anywhere in the world without long periods of acclimation must be stressed. Therefore CBRNE Intelligent Systems must be able to operate in a traditional sense, turn it on and function, and be adaptable to “long term” operations adjusting to both environmental and operational characteristic changes.

Conference Presentation

Citation Download Citation

Darren K. Emge "CBRNE sensors: intelligent systems", Proc. SPIE 11749, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXII, 117490M (12 April 2021); https://doi.org/10.1117/12.2588549

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