SciTransfer
BEHOLDER · Project

AI-Powered Urban Sensor Network for Real-Time Chemical and Biological Threat Detection

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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.

By the numbers
259 million
estimated euros saved in a simulated chemical attack in Eindhoven
The business problem

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.

The solution

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.

Audience

Who needs this

City Mayors/Urban PlannersLaw Enforcement AgenciesSmart City Technology ProvidersCritical Infrastructure Operators
Business applications

Who can put this to work

Public Safety & Security
enterprise
Target: Municipal Security Agency

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.

Smart City Infrastructure
SME
Target: Urban Furniture Manufacturer

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.

IoT Hardware
mid-size
Target: Environmental Sensor Developer

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.

Frequently asked

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.

Consortium

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.

How to reach the team

Contact Stichting Dutch Institute for Safe & Secure Spaces in the Netherlands.

Next steps

Talk to the team behind this work.

Contact us to connect with the BEHOLDER consortium for pilot opportunities.