Imagine a smart safety net for cities that can smell or see dangerous chemicals and radiation before people do. It connects different sensors into one easy-to-read map, like a weather app but for toxic threats. This helps emergency teams know exactly where the danger is and where it's safe to go without guessing.
First responders lack reliable, real-time visual tools to identify CBRN threats and set safety zones in complex urban areas. Existing detection tools are often fragmented and do not share a unified data format.
A Command&Control front-end application for safety zone mapping, six multipurpose heterogeneous sensor nodes, and a unified data workflow for off-the-shelf detectors.
If you are a municipal agency dealing with unpredictable urban chemical leaks — this project developed a Command&Control application that provides a visual tool for setting safety zones. This allows first responders to make critical decisions under life-threatening conditions.
If you are a hardware company dealing with fragmented data formats — this project developed a unified data format and workflow. This allows your off-the-shelf detection instruments to connect directly to the CHIMERA system.
If you are a tech provider dealing with complex 3D city layouts — this project developed real-time dispersion modelling software. This helps predict how hazardous agents move through urban environments to protect citizens.
Based on available project data, specific pricing or cost structures are not mentioned.
The project aims to introduce innovative technologies to the market and create a commercial-ready database, suggesting a goal for industrial scalability.
Based on available project data, specific IP and licensing agreements are not detailed, though the system features an open design for interoperability.
It uses a unified data format and multipurpose heterogeneous sensor nodes to connect commercially available off-the-shelf detectors.
The project period runs from 2023-09-01 to 2026-08-31, indicating the development phase is currently active.
The consortium is well-balanced for commercialization, consisting of 12 partners across 7 countries. With a 25% industry ratio (3 industrial partners) and 4 SMEs, there is a strong focus on market entry. The mix of 5 research entities and 2 universities ensures the technical depth needed for the data fusion and dispersion modelling components.
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