ENDED IN 2024

Team Awareness Enhanced with Artificial Intelligence and Augmented Reality
Integrated and cost-efficient situational awareness system for first responders from different sectors with heterogeneous and hardly interoperable sensor units including drone mounted, wearable, and external sensor systems.

The project’s primary objective was to characterise the seismic response of masonry and prefabricated buildings in the province of Groningen in northern the Netherlands. Prior to the project, the area had been affected by low-magnitude seismic events related to hydrocarbon extraction activities.
First responders are groups of people, services and organisations with specialised skills and qualifications, whose task is to be the first to arrive at the emergency site to carry out SAR (Search and Rescue) operations and manage crises caused by natural or man-made disasters. Although first responders help to create safe and secure societies by protecting communities, responding to disasters and saving lives, the technologies they use can be inefficient, weak or, in some cases, obsolete during operations.
Compared to the previous situation, the operational capabilities of first responders can be significantly enhanced by advances in technology and engineering, through the use of intelligent sensor systems, wearable devices, data processing and fusion, efficient communication infrastructure and artificial intelligence-based tools.
In this regard, TeamAware has improved the crisis management, flexibility and responsiveness of first responders across multiple sectors by providing real-time, fused, refined and manageable information through highly standardised augmented reality and efficient human-machine interfaces.

The consortium consisted of 24 public and private organisations from 13 different countries, with HAVELSAN (Turkey) as technical coordinator and SIMAVI (Romania) as administrative coordinator. Suppliers and operators of first response services, experts in the digital development of emergency management solutions, and experts in the distribution and evaluation of IoT (sensors) contributed to the development of the project.

The Eucentre Foundation led Work Package WP4, dedicated to the development of the Infrastructure Monitoring System, a monitoring module for the automatic detection of structural damage from data (images or videos) acquired during inspections conducted with drones in critical operations areas.