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Air Canada launches facial recognition gates pilot at Toronto Pearson

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Image: Biometric Facial Recognition Houston International by Unknown creator via rawpixel, cc0

Air Canada has initiated a pilot program at Toronto Pearson International Airport allowing passengers to enroll via the airline’s mobile app to use facial recognition for boarding. The pilot comprises four biometric e-gates serving domestic travelers and three additional gates for US-bound passengers in the airport’s transborder area.

Domestic passengers opt in before arrival through the Air Canada app. At the gate, a live facial scan is taken and matched against the airline’s identity gallery. A successful match allows passengers to board without presenting a passport or boarding pass. For US-bound passengers, facial images recorded during preclearance at American border

formalities enable boarding through three transborder gates without separate enrollment.

Dormakaba provides the physical biometric gate equipment. Middleware connecting the gates to identity management systems is supplied by Airsphere and SITA. Air Canada manages the domestic traveler enrollment software and maintains the biometric identity gallery. Participation in the pilot is voluntary, with conventional document checks remaining an option.

Airport Growth and Modernization Efforts

Toronto Pearson currently accommodates about 47 million passengers annually and projects passenger traffic to reach roughly 65 million in the early 2030s. The airport’s modernization plan incorporates digital identity and automated processing technologies to handle this rising volume.

The biometric gates pilot

extends Air Canada’s previous mobile-based traveler identity program that integrated smartphone enrollment with airport facial recognition technology. A similar biometric boarding approach operates at Calgary Airport using selfie onboarding.

The pilot’s two enrollment methods demonstrate the integration of mobile apps and existing government travel records to streamline passenger boarding at automated gates, enhancing processing efficiency at Toronto Pearson.