UK & World News

  • 9 June 2014, 12:24

Face-Recognition Tech Catches Armed Robber

Facial-recognition technology has been used to identify and convict an armed robber.

Pierre D Martin, 35, was caught on CCTV cameras robbing two men at gunpoint in separate attacks in 2013.

The images were then processed through NeoFace - a face-recognition computer programme purchased by Chicago police for $5.4m (3.2m).

It cross-referenced his face with 4.5 million police mug shots.

Martin, who has previous convictions for unlawful use of a weapon and possession of a stolen vehicle, came back as a likely match.

His image had been on the police database since 2009.

Witnesses to the attacks then identified him in line-ups.

A judge found Martin guilty of robbing a 20-year-old man listening to music on headphones on February 9, 2013 at a train station.

He approached the victim from behind, pulled a gun and demanded his mobile phone.

He had earlier stolen a phone from another man at the same station.

He is the first person to be convicted as a result of Chicago's software.

Anita Alvarez, state attorney for Cook County, said: "This case is a great example that these high-tech tools are helping to enhance identification and lead us to defendants that might otherwise evade capture."

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