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MAY 2013

Results of a study on facial recognition metrics.

Upon implementing facial recognition capabilities for its DMV, the state of New York partnered with The University at Albany’s Institute for Traffic Safety Management and Research (ITSMR) to evaluate the driving records for subjects identified as having two or more licenses since the project began. Here’s what they found:

  • Approximately 50 percent of the subjects identified through facial recognition had one valid NY license while having a second record that was suspended or revoked.
  • Approximately 20 percent of the subjects identified through facial recognition were suspended or revoked under every known record.
  • Approximately 30 percent of the subjects identified through facial recognition had multiple valid licenses.

The study also looked at the driving histories of the individuals identified via facial recognition as compared with the remainder of the state’s driver license population:

    
  • 63 percent had been involved in a crash, compared to 42 percent of all licensed drivers in the state.
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  • 9 percent had been convicted of impaired driving, compared to 2 percent of all licensed drivers in the state.
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  • 29 percent had been convicted of a cell phone violation, compared to 9 percent of all licensed drivers in the state.
  • 46 percent had been convicted of unlicensed operation, compared to 7 percent of all licensed drivers in the state.
  • 56 percent had been convicted of a seat belt violation, compared to 21 percent of all licensed drivers in the state.
  • 35 percent had accumulated six or more points on their license records within an 18-month period at some point after Nov. 18, 2004, compared to 11 percent of all licensed drivers in the state.