Project description
Automated surveillance platform tailored for critical infrastructure protection
EU Member States are adapting to environmental and climate challenges. Any form of disruption, whether intentional or natural, can have severe impacts on society and its structures. Advanced technologies offer the potential to safeguard infrastructure without human intervention. The EU-funded TESTUDO project leverages unmanned vehicles and innovative technologies to develop a platform for continuous monitoring in harsh and no-connection environments. This platform will possess high autonomy capabilities and incorporate state-of-the-art technologies for detecting, preventing, and predicting hazardous events. Through optimisation techniques, the project will identify the resources required for high-level missions, enhancing the autonomy of the deployable system.
Objective
As its surroundings changes radically and climate conditions deteriorates, Europe and its Members adapt to these current challenges. To this end and in order to maximise their usability, the EC established a framework of a common policy (EU Security Market study) by categorizing potential technologies per security domain, including Critical Infrastructure (CI) Protection. This trend is indicative for the importance and significancy that the EC gives to these matters. Any potential disruption, either intentional as a terrorist attack or a natural disaster, may risk smooth operations of such structures that may have a severe impact on a local society and its daily activities or well-being. Current advancements in various technologies can be particularly beneficial in CI protection especially when they can provide a timely support without the necessity of a human in the loop.
TESTUDO, aligned with the need of a holistic and autonomous security approach in CI protection domain and with the European Commission’s objectives, will utilize advanced unmanned vehicles along with existing equipment to deliver a highly mature platform for continuous monitoring even at harsh environments and remote territories. Tailored to the needs of the domain and targeting to maximize the platform’s autonomy capabilities, TESTUDO intends to incorporate state-of-the-art technologies for detection, prevention and prediction increasing their cognitive capabilities for different types of hazardous events. In addition, optimization techniques will identify the resources needed for the execution of high-level missions contributing to the total autonomy of the deployable system. A multidisciplinary group of technical innovators for AI-based models, CBRN, cyber-security detection, Digital twins and XAI along with the CI-related experts will collaborate to deliver an innovative action and solution to protect various CIs during a long operational period and completely autonomously.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticscognitive robots
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
57001 Thermi Thessaloniki
Greece
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Participants (18)
1066 Nicosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
141 22 IRAKLEIO
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20143 Milano
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11146 Athina
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75015 PARIS 15
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00144 ROMA
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02 486 Warsaw
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163 46 ILIOUPOLI
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28007 Madrid
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20009 Donostia San Sebastian
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
7034 Trondheim
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67663 Kaiserslautern
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48015 BILBAO
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20600 Eibar Guipuzcoa
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54655 Thessaloniki
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
14117 VILNIUS PAGIRIU
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1000 Sofia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
15232 ATHINA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (1)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
S1 1WB Sheffield
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