EU-SENSE: European Sensor System for CBRN Applications

EU-SENSE training module for first responders

Demonstration of operational EU-SENSE system

EU-SENSE: European Sensor System for CBRN Applications

Network of heterogeneous nodes

Adaptable sensor nodes

IMS, FPD, EC, PID and MO detection technologies

EU-SENSE: European Sensor System for CBRN Applications

Improvement of situational awareness

Estimating of the chemical hazard

Estimating potential dispersion of the chemical substance

Analysis of the enviromental noise for false alarm reduction

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EU-SENSE: European Sensor System for CBRN Applications

EU-SENSE training module for first responders

Demonstration of operational EU-SENSE system

EU-SENSE: European Sensor System for CBRN Applications

Network of heterogeneous sensor nodes

Adaptable sensor nodes

IMS, FPD, EC, PID and MO detection technologies

EU-SENSE: European Sensor System for CBRN Applications

Improvement of situational awareness

Estimating source of the chemical hazard

Estimating potential dispersion of the chemical substance

Analysis of the environmental noise for false alarm reduction

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EU-SENSE

EU-SENSE will create a step-change in chemical detection by developing a novel network of sensors that exploits advanced machine-learning and modelling algorithms for improved performance as well as improved situational awareness of first responders.

EU-SENSE will create a step-change in chemical detection by developing a novel network of sensors that exploits advanced machine-learning and modelling algorithms for improved performance as well as improved situational awareness of first responders.

Heterogeneous sensor nodes

Our sensor nodes are capable of integrating various detection technologies including IMS, FPD, EC, PID and MO

Situational Awareness

EU-SENSE system provides functionalities based on dispersion modelling. Innovative algorithms enable threat source estimation and hazard prediction.

Data Fusion

EU-SENSE applies data fusion algorithms that combine output of various sensors in order to classify a threat, identify the substance and estimate its concentration.

Scenarios

Our system is adjusted both for area monitoring and first response operation. The example scenarios assume an industrial incident and a terrorist attack.

Demonstration

Demonstration of the system will be held in a professional firefighters training facility.

Scenarios

Our system is adjusted both for area monitoring and first response operation. The example scenarios assume an industrial incident and a terrorist attack.

Demonstration

Demonstration of the system will be held in a professional firefighters training facility.

Recent posts

  • EU-SENSE publication Open Access

    EU-SENSE publication Open Access

    The dissemination efforts in 2020 were heavily affected by the COVID-19 pandemic. To maximize the reach, the project was presented in an online conference – SPIE Defense + Commercial Sensing held on 27.04-01.05 in the form …Read More »
  • Field trial at FOI, Sweden

    Field trial at FOI, Sweden

    Within the EU-SENSE project, FOI has conducted a field trial. The main purpose of the field trial was to collect data for the backtracking validation for improved Source Location Estimation (SLE). The SLE server is located …Read More »
  • The importance of chemical detection in the context of terrorist threats, part III

    The importance of chemical detection in the context of terrorist threats, part III

    This third and last part of the ongoing series refers to the previous article which indicated three groups of entities capable of using different chemical agents to kill people and, as a consequence, achieve political and …Read More »

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 787031.

Project Coordinator: Łukasz Szklarski, PhD
ITTI Sp. z o.o. Poznań, Poland
e-mail: lukasz.szklarski@itti.com.pl