If you are a city security agency dealing with unpredictable urban threats — this project developed an integrated platform that detects CBRN-E anomalies in real-time. It allows for better resource planning and faster response to prevent mass casualties.
AI-Powered Urban Sensor Network for Real-Time Chemical and Biological Threat Detection
Imagine if city benches and street lamps could 'smell' dangerous chemicals or radiation before humans even noticed. This system turns ordinary city furniture into a giant security net using smart sensors and AI. It helps emergency services spot a threat instantly and plan the fastest way to protect people.
What needed solving
Current CBRN-E detection systems lack standards and integration, making it hard for cities to detect threats in real-time. This leads to slow response times and high potential for economic loss and casualties.
What was built
An integrated IoT platform featuring SmartFurniture and a network of specialized sensors (IMS+FP, HoloZcan-IoT, RadNano, BME688) for real-time threat detection.
Who needs this
Who can put this to work
If you are a furniture maker dealing with a lack of security features in street assets — this project developed 'SmartFurniture' with embedded sensors. This allows you to sell high-value, security-by-design products to city governments.
If you are a sensor company dealing with fragmented detection standards — this project developed a system integrating IMS+FP, HoloZcan-IoT, and RadNano sensors. This provides a blueprint for creating interoperable, high-sensitivity detection networks.
Quick answers
What is the cost or price of the system?
Based on available project data, specific pricing is not provided, but the objective is to create a cost-efficient platform to reduce economic losses.
Can this be scaled to an entire city?
Yes, the project focuses on urban environments and uses IoT-enabled sensors and smart city infrastructure to ensure wide coverage.
What are the IP and licensing terms?
Based on available project data, specific licensing terms are not mentioned, though the project involves 14 partners including 5 SMEs.
How does it integrate with existing city tech?
It uses an integrated platform that combines IoT sensors with existing smart city infrastructure and AI for anomaly detection.
What is the implementation timeline?
The project runs from 2025-06-01 to 2028-05-31.
Who built it
The consortium is diverse, consisting of 14 partners across 7 countries. It has a strong practical orientation with 3 industrial partners and 5 SMEs, representing a 21% industry ratio, which suggests a focus on commercial viability and market uptake.
Contact Stichting Dutch Institute for Safe & Secure Spaces in the Netherlands.
Talk to the team behind this work.
Contact us to connect with the BEHOLDER consortium for pilot opportunities.