IDEMIA technology was used in an investigation that led to the wrongful arrest of a New Jersey man in 2019, according to a new report.
Nijeer Parks was detained for ten days for alleged shoplifting and assault, and would then spend several months on his legal defense. He was released after providing evidence that he was in another city at the time of the incident.
Police zeroed in on Parks after a facial recognition system matched him to the shoplifter’s fake driver’s license. A police sergeant apparently authorized the arrest solely on the basis of this match—an investigative process that many police departments would consider inadequate.
The CBC now reports that the facial recognition technology in question was provided by IDEMIA, whose “Face Expert” system is now being implemented in two major municipal jurisdictions in Ontario, Canada. The system is being used to aid investigations and analyze live video.
Asked about their use of facial recognition technology from IDEMIA in light of Parks’ wrongful arrest, representatives of Ontario’s Peel and York region police agencies emphasized that they will not make arrests based solely on biometric matches. York Regional Police Const. Kevin Nebrija emphasized that human investigators will still need to “look at the match and see if that supports other evidence that we’ve obtained.”
The police forces have also emphasized that facial recognition technology has advanced considerably since 2019, pointing to a National Institute of Standards and Technology evaluation that gave an IDEMIA algorithm the top ranking for accuracy with respect to false match rates.
Police in the United Kingdom have made similar arguments with respect to facial recognition technology from NEC, whose NeoFace system was evaluated by the National Physical Laboratory last year. The lab determined that the facial recognition system showed no demographic bias when used at its default settings.
Source: CBC News
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June 13, 2024 – by Alex Perala
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