innaxis.aero Open in urlscan Pro
2606:4700:3037::6815:6d7  Public Scan

Form analysis
0 forms found in the DOM

Text Content

Skip to main content
 * Home
 * Innaxis
   * For aviation stakeholders
   * For industry
   * For researchers
 * Resources
   * Our work
   * DataBeacon.aero
 * Reading
   * The Innaxis Post
   * DataScience.aero blog
 * Contact us

 * Home
 * Innaxis
    * For aviation stakeholders
    * For industry
    * For researchers

 * Resources
    * Our work
    * DataBeacon.aero

 * Reading
    * The Innaxis Post
    * DataScience.aero blog

 * Contact us


SAFECLOUDS PROJECT

SafeClouds is one of the few data-related projects of H2020 – “Addressing
aviation safety challenges” MG3.1-2016 call. It was launched October 2016, with
a duration of 36 months. SafeClouds has developed AI solutions for a variety of
safety scenarios. This has required improving data management tools, including
data decoding, formatting and cleaning. The team has developed an ad-hoc AI data
platform, DataBeacon, a complete AI development cloud environment capable of
scaling up as computational requirements grow.


SHARING DATA TO MAKE AVIATION SAFER

Aviation growth is challenging airport and airspace operations and introducing
greater safety risks due to the increase in volume and complexity of operations.
SafeClouds explores how artificial intelligence can improve operational safety
by providing predictive analytics on a variety of scenarios. This allows better
design of operations and raises awareness of hidden threats; this can, in turn,
lead to new operational procedures that increase airports and airspace capacity
while improving safety and accommodating traffic growth.

--------------------------------------------------------------------------------

Safety comes first, but performance is important

In the years ahead, air traffic is expected to keep growing. This could either
compromise safety or exponentially increase the costs of meeting strict safety
standards. SafeClouds demonstrates how data analytics, state-of-art ICT and
safety intelligence can help to accommodate higher levels of traffic, increasing
safety and reducing costs. While improving performance at the cost of safety is
not acceptable, it is not realistic not to acknowledge the importance of
performing efficiently. AI can ensure the combination of both is correctly
measured, through obsessive data analysis.

Smart Data Fusion – operationalise your confidential data!

Smart Data Fusion aggregates data sources and enables the merging, cleaning and
processing of previously de-identified data. As a result, SDF provides a 360
degree view of safety scenarios even when different stakeholders own different
parts of the data and each one of them wants to maintain confidentiality. SDF
consolidates different confidential data sources into single data frames,
allowing analysts to focus on the analytic development and not data engineering.

Artificial Intelligence for Aviation

Artificial Intelligence techniques, including deep learning and artificial
neural networks, allow the analysis of precursors of safety events. They also
automatically predict potential safety hazards, even in real time, so as to
support a timely reaction. The techniques and algorithms are tailored,
customised and tested for them to be effective in every particular safety
scenario: unstable approaches, terrain warnings, mid-air losses of separation
and runway safety.

DataBeacon: an AI data platform to put all concepts together

DataBeacon facilitates data analysis work maintaining restrictions on privacy
and confidentiality. This allows unprecedented use of large amounts of flight
data.

DataBeacon is a scalable, secure, on-demand multi-side computing and data
storage platform. that allows fast deployment of AI applications in aviation:
as It securely fuses datasets and runs computations over private, confidential
data that are isolated from the rest of the platform. There are three computing
layers to ensure security, scalability and flexibility for a variety of big data
and AI applications for aviation.

--------------------------------------------------------------------------------


OBJECTIVES

In order to do this, SafeClouds has developed a complete data cycle approach,
which has involved improving data management skills, including data decoding,
formatting and cleaning. The team has developed an ad-hoc AI data platform,
DataBeacon, a complete AI development cloud environment capable of scaling up as
computational requirements grow, which allows data analysts to work incredibly
more efficiently than before.

The unparalleled diversity of stakeholders, under a single AI effort, has
allowed SafeClouds to be the first project to merge different data sources
securely, supporting four safety scenarios that are not addressable
without collaboration across aviation actors. The main objective of SafeClouds
is information-driven analysis of hazard identification in aviation.


Public deliverables
21 November 2018 | Innaxis | SafeClouds

WHEN AIRLINES AND ANSPS COME TOGETHER

The SafeClouds.eu project team came together for the last Consortium Meeting on
November 6th and 7th in Majorca. Big thanks to Air Europa who supported and
hosted the meeting. For two days, five airlines (namely Air Europa, Iberia,
Norwegian, Pegasus and Vueling) met with the 3 ANSPs participating in the
project (Austrocontrol, ENAIRE and LFV), along with Eurocontrol, AESA and EASA
(Spanish an…
CONTINUE READING
16 April 2018 | Innaxis | Events, SafeClouds

SAFECLOUDS MID-TERM REVIEW

On 11th of April, we had a successful mid-term review for our H2020 project,
Safeclouds. The meeting was hosted by Eurocontrol in Brussels, with participants
from all entities involved in the project. Read Eurocontrol’s post on the
mid-term review here!
CONTINUE READING
13 February 2018 | Innaxis | Events, SafeClouds

SAFECLOUDS PRESENTED IN THE EU-US WORKSHOP

Last January, a team of European and American entities organised a workshop on
transatlantic research with the support of the European Commission. The event
was hosted by the FAA in their facilities at the William J. Hughes Technical
Center in Atlantic City. Those mostly in attendance were US and European
companies interested in how the different research threads could be boosted
through…
CONTINUE READING
26 January 2018 | Innaxis | SafeClouds

INFRASTRUCTURE NEEDED FOR AVIATION DATA ANALYTICS

Author: Jens Krueger Safety is key in aviation. To reach maximum safety,
stakeholders are collecting a large amount of data for analytics. Ultimately,
researchers want to not only evaluate the causal dependencies of safety critical
events, but to also enhance operational efficiency. Presently, such data is
stored in isolated data silos. The goal of SafeClouds.eu is twofold: advance
data-…
CONTINUE READING
27 December 2017 | Innaxis | SafeClouds

DISCOVERING HIDDEN KNOWLEDGE IN AVIATION DATA

Author: Paula Lopez (INX) Machine learning is producing outstanding results
although we know it is still far from emulating human intelligence. Applying
machine learning techniques, including multi-level artificial neural networks
(deep learning) to, for example, speech or image recognition has been
continuously resulting in improved results (e.g. digital assistants like Apple´…
CONTINUE READING
27 November 2017 | Innaxis | Events, SafeClouds

SAFECLOUDS PRESENTATION AT THE IATA ADS

On November 15-16, 2017, IATA organised the first Aviation Data Symposium in
Miami, FL USA. This event covered different angles of the application of
engineering and data analytics to airline safety, operations, passenger
distribution, sales, and air freight. These three areas were complemented by a
technology track, which covered techniques and tools to support data activities
in airlin…
CONTINUE READING
5 October 2017 | Innaxis | Events, SafeClouds

BLOCKCHAIN AND OTHER DATA SCIENCE APPLICATIONS FOR AVIATION DIGITALIZATION

For the 5th consecutive year, Innaxis organized the Data Science in Aviation
Workshop with much positive feedback. This 2017 edition took place last
September at EASA HQ in Cologne, Germany, sponsored by the SafeClouds.eu
project. This series of annual workshops was created in 2013 to promote data
science techniques applied to the aviation field. Initially, this was a …
CONTINUE READING
20 July 2017 | Innaxis | SafeClouds

FDM RAW DATA: WHY BINARY DATA AND HOW TO DECODE IT?

Authors: Lukas Höhndorf & Javensius Sembiring (TU Munich) SafeClouds.eu gathers
16 partners for research collaboration with a wide and diverse group of users,
including air navigation services providers, airlines and safety agencies.
SafeClouds.eu encourages active involvement from users, as the project aims to
apply data science techniques to improve aviation safety. SafeClouds.eu is uniq…
CONTINUE READING
13 December 2016 | Innaxis | Events, SafeClouds

SAFECLOUDS AT EASA 2016 ANNUAL EVENT AND EUROPEAN COMMISSION NEWSLETTER

SafeClouds.eu, the most advanced project to improve aviation safety through data
analysis, was presented at the EASA 2016 Annual Safety Conference, held in
Bratislava last November. Carlos Alvarez, President of Innaxis, participated in
the panel “Sharing and processing safety data: a vital step forward for
safety?”. Carlos laid out the main goals of the project as well as our
priorities for t…
CONTINUE READING
8 October 2016 | Innaxis | SafeClouds

SAFECLOUDS KICK OFF MEETING

SafeClouds.eu, a H2020 big data for safety project, coordinated by Innaxis,
kicked off earlier this month. SafeClouds is the recently launched H2020
aviation-safety project. It is coordinated by Innaxis, with 15 additional
entities (including airlines, ANSPs, EASA, Eurocontrol, various research
entities, etc) from 8 different countries. The aim of SafeClouds is to improve
aviation safety by d…
CONTINUE READING

 * 
 * 
 * 
 * 
 * 
 * 
 * 
 * 
 * 
 * 


PARTNERS

The SafeClouds consortium is comprised of a complete aviation stakeholders
team, coordinated by Innaxis with the inclusion of five airlines (Air Europa,
Iberia, Vueling, Norwegian, and Pegasus), IT infrastructure experts (Fraunhofer
ITWM and Tadorea), ANSPs (LFV and ENAIRE-CRIDA), three universities (TU Münich,
TU Delft, and Linköping University), Eurocontrol and authorities (EASA and
AESA).



Safeclouds.eu: A project coordinated by
The Innaxis Foundation and Research Institute



 Innaxis ©
innovation@innaxis.aero

 * Innaxis

 * About us

 * Working with us

 * Careers

 * Resources

 * Our work

 * DataBeacon.aero

 * Reading

 * The Innaxis Post

 * Datascience.aero blog

 * Contact us

 * Drop us a line

 * Privacy Policy

 * Gender equality plan

ⒸInnaxis

innovation@innaxis.aero

Contact us