Carnegie Mellon researchers developing long range iris recognition solution
Carnegie Mellon University’s CyLab Biometrics Center have been developing an iris recognition solution for the past several years that can successfully identify subjects from up to 40 feet away, according to a report by Discovery News.
The iris recognition technology is able to capture images from a live photographic or video feed and then compares them to a database to find a potential match.
Using light in the near-infrared wavelength band, the system’s high-resolution cameras capture images of the iris from a distance of up to 40 feet away.
Additionally, the biometric technology can capture images through reflections in a mirror.
The iris recognition device could have significant applications in law enforcement, as it could be used to identify suspects at long range in a range of lighting conditions.
CMU researchers recently posted a video in which it tested the system in a typical traffic stop scenario.
Using the long-range iris scanner, the researchers were able to successfully identify the driver of a vehicle by capturing an image of the eye via the side-view mirror.
Article Topics
authentication | biometrics | biometrics research | CyLab | iris recognition | long-distance
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