Funding Organization: European Commission
Funding Programme: Horizon H2020
Funding Instrument: Innovation Action
Start Date:
Duration: 36 months
Total Budget: 7,315,375.00 EUR
ITI Budget: 725,000.00 EUR

FASTER aims to address the challenges associated with the protection of first responders in hazardous environments, while at the same time enhancing their capabilities in terms of situational awareness and communication. FASTER will provide innovative, accepted and efficient tools covering 1) Data collection providing a secure IoT platform for distributed, real-time gathering and processing of heterogeneous physiological and critical environmental data from smart textiles, wearables, sensors and Social Media, 2) Operational capabilities providing flexible, multi-functional autonomous vehicles, including swarms of them, for extended inspection capabilities and physical mitigation, 3) Risk assessment providing tools for individual health assessment and disaster scene analysis for early warning and risk mitigation, 4) Improved ergonomics providing augmented reality tools for enhanced information streaming, as well as body and gesture-based interfaces for vehicle navigation and communication, 5) Resilient communication at the field level providing haptic communication capabilities, emergency communication devices, communication with K9s; and at the infrastructure level through 5G technologies and UAVs, 6) Tactical situational awareness providing innovative visualisation services for a portable Common Operational Picture for both indoor and outdoor scenarios representation. 7) Efficient Cooperation and Interoperability amongst first responders, LEA, community members and other resource providers to request and deliver assistance where and when it is most needed using blockchain technology to give everyone involved the ability to write and read data (including sensor data) on an open source platform to speed up disaster relief to a whole new level.

Gesture-based drone control simulation

Gesture-based drone control demo

2D mapping demo

AI scene analysis demo