Welcome to TeamAware
We are thrilled to set ourselves on this Horizon 2020 Research and Innovation Action project, under the call H2020-SU-SEC-2019 (SU-DRS02-2018-2019-2020) – Technologies for first responders, (total budget of 6,964,702 EUR) for the next three years (May 2021 – Apr 2024).
The main objective of the TeamAware Project is to develop an 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.
First responders are the groups of people, services and organizations with specialized skills and qualifications whose duty it is to arrive to the emergency zone first, search, save and rescue operations, and perform crisis management in natural or human-made disasters. Although first responders provide secure and safe societies by protecting the communities, responding to the disasters, and rescuing lives, they often use inefficient, weak and obsolete technologies in the operations. With respect to the current situation, the operational capabilities of the first responders can be dramatically boosted by the advances in technology and engineering fields such as smart sensor systems, wearables, data processing, data fusion, data analytics, communication infrastructure, and artificial intelligence tools.
In this respect, TeamAware will enhance crisis management, flexibility and reaction capability of first responders from different sectors through real time, fused, refined, and manageable information by using highly standardized augmented reality and mobile human machine interfaces.
Our consortium is composed of 24 private and public organizations from 13 different countries, with HAVELSAN (Turkey) as the technical coordinator and SIMAVI (Romania) as the administrative coordinator. We count on first responder service providers and managers, experts in digital development of emergency management solutions and experts in IoT (Sensor) deployment and evaluation. The well-balanced TeamAware consortium is our strength to achieve the main goal of the project.
We invite you to get acquainted with the TeamAware project and get the latest updates on the project progress via our newsletter!
Events
The project’s kick-off meeting was held online on 5-6 May 2021 with about 70 researchers from 13 difference countries.
Who is involved?
There will be two demonstrations, namely “natural disaster” and “human-made disaster” in real environment so that participating end users will deploy, test and measure the performance under real conditions with direct participation of the end users. The TeamAware consortium brings into play the expertise from different specializations under sensor network, fusion, data processing, AI, interoperability, AR etc. There are also 7 first responder organizations (2 fire fighters, 3 medical first responders, 1 LEA and 1 resilience advisor network) participating as full partners. The strong involvement of the end-users and organizations as full partners provides the project with coordination and expertise on the first responder operations. Main expertise areas of each partner and complementariness among them are summarized, below:
| Participant | Type* | Main expertise areas and competences | Main contribution in the Project | |
|---|---|---|---|---|
| 1 | HAVELSAN | IND. | High-tech sensor and modelling technologies | Technical Coord., chemical dispersion modelling and team activity monitoring systems |
| 2 | TREE | SME | Computer vision, machine learning | System architecture design and analysis |
| 3 | THALES | IND. | Computer vision, environmental modelling | Visual scene analysis system |
| 4 | EUCENTRE | RI. | Computer vision, structure risk analysis | Infrastructure monitoring system |
| 5 | AITEX | RI. | Chemical agent detection systems, wearables | Wearable chemical detection system |
| 6 | AVISA | SME | Acoustic signal processing system | Acoustic event (gunshot) detection system |
| 7 | DUNE | SME | Indoor localization systems | Outdoor/indoor localization system |
| 8 | INT | SME | Computer science, artificial intelligence | Citizen and city integration system |
| 9 | SRDC | SME | Communication protocols and interfaces | Cloud based communication network |
| 10 | AIT | RI. | IoT and sensor applications | Interoperability and data collection |
| 11 | FHG | RI. | Sensor fusion, incident management | Sensor fusion, platform software |
| 12 | LUCIAD | IND. | Augmented reality | Augmented reality applications and HMI |
| 13 | ENIDE | SME | Mobile applications | Mobile applications and HMI |
| 14 | SU | UNIV | Augmented reality | Augmented reality applications and HMI |
| 15 | CERTH | NPO | Acoustic signal processing system | Acoustic event (speech) detection system |
| 16 | ERI | NPO | Ethical/legal/social implications of technology | Ethics, societal impacts, data protection |
| 17 | SIMAVI | IND. | Support for pilot implementations | Administrative Coord. TeamAware system integration and test |
| 18 | RAN | NW | First responders’ network | TeamAware demonstration |
| 19 | BBB | FF | Demonstration zones (underground and buildings) | TeamAware demonstration support |
| 20 | AAHD | MD | Medical first responders in the operations | Definition of use cases and scenarios |
| 21 | AHBVP | FF | Fire fighters in the operations | Definition of use cases and scenarios |
| 22 | JOAFG | MD | Medical first responders in the operations | Definition of use cases and scenarios |
| 23 | SPP | LEA | Security first responders in the operations | TeamAware demonstration support |
| 24 | HSEPC | MD | Medical first responders in the operations | Definition of use cases and scenarios |
| * IND: large industry, RI: research institute, SME: small and medium sized enterprise, UNIV: university, FF: Firefighter, MD: medical first responder, LEA:law enforcement agency, NPO: non-profit organisation, NW: first responder network | ||||
