EU-SENSE | European Sensor System for CBRN Applications

Summary
The EU-SENSE project will provide an innovative technical solution to deal with selected shortcomings in CBRNe protection indicated in the ENCIRCLE Catalogue of Technologies. The created system will be a step-forward in chemical detection by developing a novel network of sensors that exploits advanced machine-learning and modelling algorithms for improved performance.
The salient objectives of the project include development of an adaptable and multipurpose threat detection system (network of sensors, comprising both stationary and person-worn sensor nodes supported by environmental noise learning algorithm for false alarm rate reduction) and tools for enhancing situational awareness based on the sensor data (threat source location estimation and hazard prediction solutions). In general, the developed system will improve the threat detection capabilities and will increase state-of-the-art sensors reliability by networking and novel algorithms.
Moreover, the project will implement a dedicated mode covering CBRNe practitioners training aspect. The mode will be an integral part of the system and will allow for familiarization with the equipment (the system) as well as training and rehearsal for specific situations.
The EU-SENSE will be strongly user-driven and the demonstration of the developed system will be conducted in the realistic working conditions, in the professional firefighters training centre and with the use of chemical simulants. The project will also consider the issue of interoperability between various chemical sensors and will propose a concept for standardisation of sensor network description.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/787031
Start date: 01-05-2018
End date: 31-10-2021
Total budget - Public funding: 3 428 100,00 Euro - 3 428 100,00 Euro
Cordis data

Original description

The EU-SENSE project will provide an innovative technical solution to deal with selected shortcomings in CBRNe protection indicated in the ENCIRCLE Catalogue of Technologies. The created system will be a step-forward in chemical detection by developing a novel network of sensors that exploits advanced machine-learning and modelling algorithms for improved performance.
The salient objectives of the project include development of an adaptable and multipurpose threat detection system (network of sensors, comprising both stationary and person-worn sensor nodes supported by environmental noise learning algorithm for false alarm rate reduction) and tools for enhancing situational awareness based on the sensor data (threat source location estimation and hazard prediction solutions). In general, the developed system will improve the threat detection capabilities and will increase state-of-the-art sensors reliability by networking and novel algorithms.
Moreover, the project will implement a dedicated mode covering CBRNe practitioners training aspect. The mode will be an integral part of the system and will allow for familiarization with the equipment (the system) as well as training and rehearsal for specific situations.
The EU-SENSE will be strongly user-driven and the demonstration of the developed system will be conducted in the realistic working conditions, in the professional firefighters training centre and with the use of chemical simulants. The project will also consider the issue of interoperability between various chemical sensors and will propose a concept for standardisation of sensor network description.

Status

CLOSED

Call topic

SEC-05-DRS-2016-2017

Update Date

27-10-2022
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Horizon 2020
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.7. Secure societies - Protecting freedom and security of Europe and its citizens
H2020-EU.3.7.1. Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
H2020-SEC-2016-2017-1
SEC-05-DRS-2016-2017 Chemical, biological, radiological and nuclear (CBRN) cluster
H2020-SEC-2016-2017-2
SEC-05-DRS-2016-2017 Chemical, biological, radiological and nuclear (CBRN) cluster