The Future of Airfield Safety and Security
iFerret™ is the world’s first intelligent Vision-based FOD (foreign object & debris) detection system, providing real-time, automated FOD detection, location, classification and recording. It can be deployed in civil airports as well as military air bases, to help prevent potential aircraft damage and fatalities caused by FOD. Stratech’s foray into this huge, double-digit-billion-dollar industry started in the second half of 2005.
In July 2005, the International Civil Aviation Organisation (ICAO) upgraded FOD safety from recommended practice to standard. Stratech saw the huge global market for airfield/runway safety and security surveillance and in 2006 sought collaboration with the Civil Aviation Authority of Singapore (CAAS). The system underwent a 15-month trial with the Singapore Changi International Airport, and was awarded a contract to deploy iFerret™ on both the airport’s runways in 2008. iFerret™ was later also installed in Chicago International Airport in the U.S., as well as Düsseldorf International Airport in Germany. These demonstrated iFerret™’s ability to detect FOD beyond the runways, with the installations at Chicago and Düsseldorf marking the world’s first FOD detection system installations on a taxiway and in an apron respectively.
Following the Changi deployment, iFerret™ underwent intensive rounds of tests in both Changi International Airport and Chicago International Airport, which finally culminated in the system receiving US Federal Aviation Administration (FAA) approval in 2012. This was followed by the FAA granting iFerret™ the Buy American Waiver. Finally, iFerret™ was ready to take off in the international market.
The system also comes with additional capabilities, some of which are optional augmentations, to enhance safety and security in the airport’s airfield environment. These include: Airfield surveillance; Incursion detection; Night vision; Surveillance of unlawful seizure of aircraft; Apron monitoring; Wildlife detection; Pavement condition monitoring; and Network intelligence, for example.
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