Opendata, web and dolomites

SmaCS SIGNED

Smart Cabin System for cabin readiness

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 SmaCS project word cloud

Explore the words cloud of the SmaCS project. It provides you a very rough idea of what is the project "SmaCS" about.

ambition    permitted    airbus    precious    upgrade    brings    designed    performances    model    interface    fulfil    ultra    trains    additional    coupled    smacs    10m    hardware    buses    compact    ia    opening    transportations    aeronautic    recognition    innovative    public    generate    aspires    adaptable    competencies    connection    image    cabin    digitalized    safety    cvms    synthetic    contrast    algorithms    object    libraries    training    prototype    aircraft    unmatchable    actors    videos    compliant    machine    camera    data    introduce    ai    aviation    learning    conceive    deep    cameras    cots    cabins    ttl    turnover    notably    light    ecology    competitiveness    capacity    capitalise    proven    solution    models    3d    sectors    services    breakthrough    smart    ecosystem    relationship    pillars    train    a320    demand    algorithm    otonomy    vicomtech    environment    led    rare    luggage    verification    dataset    solutions    realistic    interiors    empowered   

Project "SmaCS" data sheet

The following table provides information about the project.

Coordinator
OTONOMY AVIATION 

Organization address
address: 158 AVENUE LEON BLUM
city: CLERMONT-FERRAND
postcode: 63000
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 France [FR]
 Total cost 1˙035˙425 €
 EC max contribution 843˙575 € (81%)
 Programme 1. H2020-EU.3.4.5.6. (ITD Systems)
 Code Call H2020-CS2-CFP09-2018-02
 Funding Scheme CS2-IA
 Starting year 2019
 Duration (year-month-day) from 2019-10-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    OTONOMY AVIATION FR (CLERMONT-FERRAND) coordinator 447˙650.00
2    FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH ES (DONOSTIA SAN SEBASTIAN) participant 395˙925.00

Map

 Project objective

The SMACS project, led by OTONOMY Aviation and VICOMTECH, aspires to conceive a camera-based prototype solution for digitalized on-demand verification of TTL requirements for cabin luggage. It will be designed to be highly reliable, cost effective and easy to upgrade, with potential additional camera-based verification services.

To fulfil this ambition, the consortium will capitalise on 3 main pillars: - A robust Machine Learning algorithm for cabin luggage recognition in low light and low contrast environment that will be built from VICOMTECH’s AI libraries and specific developments - A highly innovative way to produce learning dataset based on videos coupled with synthetic 3D models - An aircraft compliant, ultra-light, ultra-compact Image data processing hardware based on COTS, with highly adaptable CVMS interface connection capabilities.

VICOMTECH brings to the consortium its large experience and proven competencies in developing machine-learning based algorithms, notably for object recognition, and its rare and precious capacity to train algorithms from synthetic 3D models to reach higher performances at unmatchable costs.

OTONOMY Aviation brings to the consortium its deep knowledge of aeronautic compliant camera systems and camera implementation in aircraft cabins. Moreover, OTONOMY’s strong relationship with major actors of the ecosystem such as Airbus Interiors Services permitted to get a highly realistic synthetic model of an A320 aircraft that will be used for the algorithm training.

The SMACS project will generate new technology breakthrough for the use of IA in aeronautic and will bring new safety-related solutions to other sectors such as public transportations (trains, buses etc.).

It will also enable OTONOMY to introduce smart IA-empowered cameras in the aeronautic ecosystem, opening new and various opportunities for aeronautic competitiveness, safety and ecology. The derived products will generate an additional turnover of 10M$/year.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SMACS" 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 "SMACS" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.4.5.6.)

FAVIT (2019)

FEASIBILITY ANALYSIS OF INNOVATIVE PRACTICES IN VIRTUAL TESTING METHODS FOR AIRCRAFT CERTIFICATION

Read More  

ADDIMOT (2019)

ADDitively manufactured limited angle torque MOTor for Smart Active Inceptors

Read More  

PERF-AI (2018)

Enhance Aircraft Performance and Optimisation through utilisation of Artificial Intelligence

Read More