Opendata, web and dolomites

DRONECOP

The first integral control and command system for managing missions which delivers 3D cartography and georeferenced data in real-time

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "DRONECOP" data sheet

The following table provides information about the project.

Coordinator
GEOINTELLIGENCE SYSTEMS SL 

Organization address
address: C/ VENTURA RODRIGUEZ 8-PORTAL 6, BAJO A. BOADILLA MONTE
city: MADRID
postcode: 28660
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website http://www.geoint.systems/
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2019-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GEOINTELLIGENCE SYSTEMS SL ES (MADRID) coordinator 50˙000.00

Map

 Project objective

Geointelligence Systems is a Spanish company founded in 2015 that offers services based on Geointelligence from remote sensing and unmanned aerial vehicles. Over the last 3 years, we have developed DRONECOP, the first integral general operation system for managing missions for combating natural disasters able to process data captured by a drone (video, photogrammetry) in real-time and automatically generate 3D cartography and georeferenced targets. Several regional and global emergency mechanisms exist to support disaster management, but they lack efficiency due to the unstructured existing management systems: unable to process information in real-time and to provide accurate tools for critical decision making based on objective information. With DRONECOP, natural disasters management bodies will have access to critical catastrophic areas and get accurate and updated 3D mapping information and georefereced targets in real time. This will allow them to plan their missions and make fast decision in critical moments in a much more effective way due to the objective information they will count with. Consequently, there will be a reduction in fatalities and injured among their crews and in social, environmental and economic impact of the disasters. DRONECOP will disrupt in the Mapping for Incident and emergency Market (valued at €10,440Mill in 2018) creating a new niche of integral management system for missions with real-time 3D mapping and georeferenced data that no other competitor has already achieved. DRONECOP will make any disaster management operation safer, faster and more efficient than ever. It will positively impact on the human, environmental and economic scope of any natural disaster in which it will be used.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DRONECOP" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "DRONECOP" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

RDNA (2019)

Empowering New Venture Growth - RDNA

Read More  

MEDIVAC (2019)

Machine learning software to design personalized neoantigen vaccines tailored to specific vaccine delivery systems

Read More  

Manuback (2019)

MANUBACK, the smart garment for operator protection in the field of Manual Handling of Goods

Read More