Collins Aerospace’s SelfPass biometric boarding gates will soon be available to all international passengers at McCarran Airport in Las Vegas. The SelfPass gates use facial recognition technology to verify the identities of travelers, bringing up their flight information and allowing them to board the plane with only a facial recognition scan.
“SelfPass takes less than one second to capture and process a passenger’s facial image and eliminates the need to repeatedly present travel documents, making the process more efficient for both passengers, airlines and airports,” said Collins Aerospace’s Global Airport Systems VP Christopher Forrest.
SelfPass will be installed at all international gates, and will eventually service 19 total airlines. The system is currently being trialed with a single airline, and will expand to include a second airline in November. The system matches passengers against US Customs and Border Protection’s Traveler Verification Service to confirm their identities.
Collins Aerospace will be showcasing the SelfPass solution at this week’s Airports Council International – North America conference in Tampa, Florida. The company was formed in 2018 when UTC Aerospace Systems merged with Rockwell Collins, the latter of which previously developed a facial recognition system to automate the baggage checking process.
The McCarran deployment furthers the growing trend of face-based biometric boarding at international airports. SITA, Vision-Box, and NEC have also made recent advancements in the space.
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September 17, 2019 – by Eric Weiss
Like all biometrics solutions, face recognition technology measures and matches the unique characteristics for the purposes of identification or authentication. Often leveraging a digital or connected camera, facial recognition software can detect faces in images, quantify their features, and then match them against stored templates in a database.
Face scanning biometric tech is incredibly versatile and this is reflected in its wide range of potential applications. Learn more on FindBiometrics’ Facial Recognition page.
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