New face recognition technology is credited with the capture of two people who are trying to enter the United States illegally.
Washington Dulles International Airport in Virginia has implemented new facial recognition technology at the checkpoints in the whole complex.
The system is available for United States citizens, taking a photo of a traveler and then it is compared with a database of passports and visas and the photos belonging to people flying that day. If it’s not an exact match, the system will flag.
“Customs and Border Protection’s facial comparison system is very effective and efficient in the detection of cheaters,” said Casey Durst, CBP Director of the Baltimore Field Office. “CBP’s facial comparison system, a match percentage of 99%, making it very difficult for criminals, terrorists or cheaters to enter the country with a person other identification and travel documents.”
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In the three weeks since the technology was rolled out at Dulles, the airport has caught two men trying to illegal in the United States by using someone else’s passport.
The system takes a picture of the person and runs it through a database to compare with visa and passport photos of people scheduled to fly that day.
Last month, a 26-year-old man from the Republic of Congo tried to be with another person, French passport. His real ID was found, hidden in his shoe, U. s. Customs and Border Protection officers confirmed in a statement.
On Monday, a woman from Ghana was caught on the use of someone else’s AMERICAN passport.
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The facial recognition technology being tested at 15 airports around the nation for the “safety” McAleenan said, CBS News reports.
“We use it for security purposes. We ensure that the visitors actually leave the country in a timely manner and also ensure that we avoid scams, anyone who tries to use it in a document that does not belong to them entering the U.S.”
But the new technology has many concerned about the possibility that the disproportionately misidentify and flag minorities.
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The ACLU reportedly put each member of Congress by means of face recognition. Twenty-eight legislators, many of them people of color, were identified as people who were arrested.