Leidos has won a contract from the Port of
Seattle to provide implementation services for a comprehensive
Foreign Object Debris (FOD) detection system to be installed as
part of a runway improvement project at Seattle - Tacoma airport.
FODetect is an
automated FOD solution collocated with runway edge lights to improve runway
safety, operational efficiency and increase runway capacity. FODetect continuously scans operational areas and uses
sophisticated image and radar processing algorithms to monitor
runway conditions during day and night for FOD, wildlife and
equipment status - even during inclement weather conditions.
The
system automatically separates birds from other FOD types, and
automatically alerts the airport's wildlife team in real time
24/7. The upgraded product enables remote real-time auditory bird
deterrence, completing the cycle of runway bird management.
Varec Inc., a wholly owned subsidiary of Leidos, will serve as the
prime contractor and Xsight Systems, Inc. will be the original
equipment manufacturer provider of the FODetect Solution.
This implementation of an automated FOD
detection system at Seattle-Tacoma airport will be only the second
fully operational automated FOD detection system that has been installed
at a U.S.
airport.
"The Port
of Seattle has selected the FODetect system to meet expanding operational
demands for continuous monitoring for FOD at Seattle-Tacoma
airport. It will enable viable sensing, identifying and locating
at a previously unprecedented level of speed and accuracy for
objects as small as an aircraft rivets," said Leidos Group
President, Larry Hill . "We're proud to provide the Port of
Seattle the only
solution available in the market that can automatically detect
foreign object debris between runway movements."
FODetect is operational at Logan Airport in Boston, Tel Aviv
Ben-Gurion International Airport and Bangkok Suvarnabhumi
International Airport. A FODspot subsystem has also been acquired by
Paris's Charles de Gaulle International Airport.
Seattle,
Leidos,
Security,
Runway,
Detection
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