Drones4Safety objectives

The aim of the Horizon 2020 Drones4Safety (D4S) project is to develop a system of autonomous, self-charging, and collaborative drones that can inspect a big portion of transportation infrastructures in a continuous operation. This will be achieved through the following objectives:

Монтажная область 53

Energy Harvesting

The proposed solution harvests energy from overhead power or rail lines in the proximity of the desired infrastructure to be inspected to operate its drones for a longer time.

Inspection efficiency

Improving an Al algorithms to recognize infrastructure components and discover automatically eventual faults on assets.

Collaborative drone operation system

Validating a collaborative and centralized drone system to inspect different sides of the desired infrastructure.

Failsafe Inspection

Producing a safe operational system resisting harsh electromagnetic environments and circumventing the effects of high-voltage/high-current signals.

Autonomous Navigation

Providing a drone system monitoring and controlling remotely the state and location of the drone.

36

MONTHS DURATION

3.5

MILLIONS EUROS BUDGET

9

PROJECT PARTNERS

5

EU MEMBER STATES REPRESENTED

consortium


The consortium represents the full value-chain for the development of an autonomous, self-charging, collaborative drone system
for inspecting transport infrastructure:
- two universities (University of Southern Denmark and Aarhus University),
- one applied research institute (Fraunhofer),
- three railway/civil infrastructure inspection experts and providers (EUCentre, ARIC and NEAT),
- two regulation expert partners (EUROCONTROL and Deep Blue),
- one drone manufacturer company (DELAIR).

NEWS

WANT TO KNOW MORE ABOUT OUR PROJECT?

Use our contacts below

Project Coordinator
Prof. Emad Samuel Malki Ebeid
University of Southern Denmark
esme@mmmi.sdu.dk

Dissemination Manager
Damiano Taurino
Deep Blue srl
damiano.taurino@dblue.it

Drones4Safety receives funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement no. 861111