Turkish engineers have developed an artificial intelligence-aided electro-optical detection system to detect foreign objects...
2016-05-23
Domestic Solutions for Flight Safety
Turkish engineers have developed an artificial intelligence-aided electro-optical detection system to detect foreign objects, which are found in airfields, damage airplane motors and hardware, and cause the risk of accidents that might jeopardize life safety of the passengers and the personnel.
Conducting R&D studies within the body of ODTÜ Teknokent, ArgosAI Technology has deserved to benefit from Individual Young Initiative Program of Scientific and Technological Research Council of Turkey (TÜBİTAK) with Airport Foreign Object Detection System (A-FOD). The project involves artificial intelligence-aided electro-optic detection system developed to prevent the damages caused by foreign objects in the airports.
Because of the foreign objects, which might break off from the airplanes during landing and take-off or exist on the runway and cause damage to the airplanes, high cost damages occur in the aviation sector. Each year, aviation companies in Turkey has to pay tens of millions of dollars of repair and maintenance costs because of the foreign objects that cause small or middle size damages.
Real-time detection, instant notification
ArgosAI has developed a system that can detect foreign objects both during the day and night, and alert the relevant unit. With the artificial intelligence technology, the system offers solution to the problems occurring in the runways caused by foreign objects. A-FOD system controls all areas in airports including the apron fields where the passengers are taken into the plane, the taxiways where they wait during the flight, and take-off and landing areas. Through the system, foreign object detection is enabled by 24/7 tracking in the runways, taxiways, and apron fields, and by real-time analyses through image processing. The detected objects are reported to the tower and field units by real-time alert, being automatically interpreted by the system using the algorithms.
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