Facial recognition technology helps prevent and prosecute identity theft
Facial recognition technology can play a major part in preventing and prosecuting identity theft, as a recent initiative by the New York Department of Motor Vehicles (DMV) has been able to reveal.
Back in January this year, the DMV has enhanced its facial recognition technology by doubling the number of measurement points on a driver’s photograph. The new system increases the number of measurement points on the face from 64 to 128, and allows for the ability to overlay images, invert colors, and convert images to black and white to better see scars and identifying features on the face. Different hair styles, glasses, and other features that change over time—including those that evolve as a subject ages—do not prevent the system from matching photographs.
This move has led to the arrest of 100 suspected identity thieves and opened 900 unsolved cases.
The DMV said about half of those recently arrested were accused of using a stolen identity to obtain a license because their original one was suspended or revoked. What’s more, about two dozen of the arrests were of culprits modifying their names in a bid to get a second Social Security number. Five others were arrested for trying “to take over someone else’s existing New York Sate DMV record,” the agency said.
Tensor – experts in the deployment of facial recognition technology
Tensor has an extensive experience in installing facial recognition CCTV systems and commissioning comprehensive video management solutions for large multi-site facilities. Our expertise and technical know-how enables us to easily integrate video surveillance into other security systems including ANPR (Automatic Number Plate Recognition), Access Control and Facial Recognition CCTV to name a few, in order to enhance and improve the security and efficiency at your site.
Tensor face biometrics are used to identify users from access control lists and verify their identity. Our access control solution facilitates user management at runtime and allows users to be enrolled on-the-fly by video capture.
Facial recognition CCTV technology yields excellent performance despite partial occlusions of the face, the use of glasses, scarves or caps, changes of facial expression, and moderate rotations of the face. Moreover, it does not allow users to be impersonated using photographs. Tensor biometric technology is the perfect solution to control the access of personnel to restricted security areas.
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