Opendata, web and dolomites


Smart Cabin System for cabin readiness

Total Cost €


EC-Contrib. €






 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.

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

Project "SmaCS" data sheet

The following table provides information about the project.


Organization address
address: 158 AVENUE LEON BLUM
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. (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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    OTONOMY AVIATION FR (CLERMONT-FERRAND) coordinator 447˙650.00


 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.

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

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