Objetivo 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. Ámbito científico engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensorsengineering and technologycivil engineeringtransportation engineeringairport engineeringsocial scienceseconomics and businessbusiness and managementemploymentnatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencesphysical sciencesopticslaser physics Programa(s) H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport Main Programme H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument Tema(s) SMEInst-10-2016-2017 - Small business innovation research for Transport and Smart Cities Mobility Convocatoria de propuestas H2020-SMEInst-2016-2017 Consulte otros proyectos de esta convocatoria Convocatoria de subcontratación H2020-SMEINST-1-2016-2017 Régimen de financiación SME-1 - SME instrument phase 1 Coordinador ARGOSAI TEKNOLOJI ANONIM SIRKETI Aportación neta de la UEn € 50 000,00 Dirección UNIVERISITELER MAH. IHSAN DOGRAMACI BLV. ODTU TEKNOKENT KOSGEB TEKNOLOJI GELISTIRME MERKEZ BINASI 31 112 CANKAYA ANKARA 06800 CANKAYA ANKARA Turquía Ver en el mapa Pyme Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención. Sí Región Batı Anadolu Ankara Ankara Tipo de actividad Private for-profit entities (excluding Higher or Secondary Education Establishments) Enlaces Contactar con la organización Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 71 429,00
