AI Case Study

The identifies impostors at airports with facial recognition technology

The U.S. Department of Homeland Security leverages facial recognition technology to identify mismatches between passports and photos embedded in the passports chip. In an incident at Dulles International Airport, the system was able to uncover a 26-year-old citizen of Cameroon who presented a passport and posed as a US citizen.

Industry

Public And Social Sector

Security

Project Overview

"New, hi-tech technology for recognizing faces enabled federal authorities to spot a woman who arrived Monday at Dulles International Airport and posing as a U.S. citizen, officials said.

Describing the woman as an impostor, Customs and Border Protection, said she was the third such person identified by the new technology at Dulles in 40 days.

In Monday’s incident, CBP said, the woman arrived on a flight from Accra, Ghana, and presented ae passport indicating that she was a U.S. citizen.

But, CBP said, the facial recognition technology showed a mismatch between the woman presenting the passport and the photo embedded in the passport chip.

It said a secondary inspection and a biometric exam determined that the woman was a 26-year-old citizen of Cameroon.

The agency said it is continuing to investigate.

It said the facial recognition system compares the face of the actual traveler with the face on the passport chip, in a process that takes less than two seconds.

Reported Results

The system has been able to identify three different impostors at Dulles International Airport in 40 days.

Technology

Function

Risk

Security

Background

"CBP said posing as another person when trying to come into the United States violates immigration law, and could bring prosecution."

Benefits

Data

Passport chips, facial characteristics