Illinois man convicted of robbery via facial recognition technology
Posted by: Jon Ben-Mayor on 06/09/2014 07:56 AM
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A man in Chicago, IL., was convicted of an armed robbery by using a program called NeoFace, a program which scans the mugshot database and matches the image to any corresponding images captured on, and in this case, surveillance footage to give law enforcement a suspect match.
According to the Chicago Sun-Times, Pierre Martin, 35, was the first person arrested due to facial recognition technology that the Chicago Police Department started using last year.
His face was linked to two CTA holdups, Cook County prosecutors said.
CTA surveillance cameras captured photos of Martin in both of the robberies. His photo was compared to the department’s 4.5 million criminal booking shots and he ranked No. 1 among possible matches, officials said.
After a bench trial in May, Judge Maura Slattery Boyle found Martin guilty of the February 2013 robbery. This week, she sentenced Martin to 22 years in prison.
According to the Chicago Sun-Times, Pierre Martin, 35, was the first person arrested due to facial recognition technology that the Chicago Police Department started using last year.
His face was linked to two CTA holdups, Cook County prosecutors said.
CTA surveillance cameras captured photos of Martin in both of the robberies. His photo was compared to the department’s 4.5 million criminal booking shots and he ranked No. 1 among possible matches, officials said.
After a bench trial in May, Judge Maura Slattery Boyle found Martin guilty of the February 2013 robbery. This week, she sentenced Martin to 22 years in prison.
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