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A-FOD

SAFER and TIMELY FLIGHTS with Automated Foreign Object Detection System

Total Cost €

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EC-Contrib. €

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Partnership

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 A-FOD project word cloud

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

transport    teams    detect    delays    minimize    strategically    turkey    verification    operation    rapid    runways    time    turnover    live    supporting    provides    despite    position    sales    satisfied    learning       solution    pointers    global    functionalities    companies    free    ai    create    fod    59    uses    minimise    industry    objects    decrease    cameras    safer    detection    comprised    cancellations    breakdowns    customers    realize    hazard    records    ups    planes    until    generate    resolution    17    trained    300    gdp    46m    laser    5th    affordable    2030    fods    complete    gps    successfully    economy    air    million    weather    machine    traffic    visual    direct    connected    repair    gain    market    integrates    flights    hazards    savings    advantages    operators    annually    till    regulations    airports    removal    airport    employment    jobs    sends    90    crisis    sustain    close    tested    crashes    grow    gaining    smallest    stopping    keeps    economic    billion    amateur    alerts    caused    delay    reduce    maintenance    costly    demo    compliance    2023    contribution    vital    busies    seeking    accidents    international   

Project "A-FOD" data sheet

The following table provides information about the project.

Coordinator
ARGOSAI TEKNOLOJI ANONIM SIRKETI 

Organization address
address: UNIVERISITELER MAH. IHSAN DOGRAMACI BLV. ODTU TEKNOKENT KOSGEB TEKNOLOJI GELISTIRME MERKEZ BINASI 31 112 CANKAYA ANKARA
city: CANKAYA ANKARA
postcode: 6800
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 Turkey [TR]
 Project website https://www.argosai.com
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport)
2. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-08-01   to  2018-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ARGOSAI TEKNOLOJI ANONIM SIRKETI TR (CANKAYA ANKARA) coordinator 50˙000.00

Map

 Project objective

The airport industry is a strategically important sector that makes a vital contribution to the EU's overall economy and employment by supporting 5 million jobs and contributing €300 billion to EU GDP. Despite the current economic crisis, global air transport is expected to grow by 5% annually till 2030 and airport operation companies are seeking methods to sustain FOD free runways for safer flights. Since, They generate costly breakdowns in planes, potential delays and cancellations, and eventually, also they are the cause of accidents and crashes. A-FOD is a FOD detection and management system comprised of a set of high resolution cameras connected to a AI system that is continuously trained by machine learning to solve the FODs detection problem. A-FOD is a complete FOD-hazard management system that allows airport maintenance teams to detect the smallest objects in any weather condition and also: 1) sends alerts to the operators; 2) provides live close-ups for a rapid visual verification without stopping the air traffic; 3) uses laser pointers and GPS to facilitate the removal and minimize its impact on the airport operation; 4) keeps records, in compliance with international regulations. A-FOD is successfully tested in an airport used for amateur flights and a demo will be done at one of busies airport of Turkey at May’17. Airports will gain high advantages by being able to -decrease delay time by %90-reduce required repair cost of FOD hazards-realize significant cost savings-gaining more satisfied customers. The main objective of A-FOD project is to minimise and solve the problems caused by FOD in airports. With an affordable solution that integrates AI functionalities and an integrated FOD management system, we aim to gain a leading position on the EU market until 2023. As a result of this project, we expect to reach a turnover above €46M, and we will create 59 direct jobs by the end of the 5th year of sales.

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