facial-recognition software

Frequency: 8.225.5 per million words

Used to describe computer programs that identify or verify a person from a digital image or a video frame.

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Examples (20)

  • The airport installed new facial-recognition software for enhanced security.
  • The airport uses facial-recognition software to identify passengers at security checkpoints.
  • Police departments are increasingly using facial-recognition software to identify suspects.
  • Many modern smartphones come equipped with advanced facial-recognition software for secure unlocking.
  • The smartphone's facial-recognition software unlocks the device instantly.
  • Privacy advocates are concerned about the widespread use of facial-recognition software in public spaces.
  • Privacy advocates are concerned about widespread facial-recognition software deployment.
  • The police utilized facial-recognition software to locate the suspect within the large crowd.
  • The company developed advanced facial-recognition software for access control.
  • It can be difficult for facial-recognition software to work accurately in extremely low-light conditions.
  • Social media platforms use facial-recognition software to tag photos automatically.
  • The tech company is developing new facial-recognition software to improve building access security.
  • Banks are implementing facial-recognition software for customer verification.
  • Some social media platforms use facial-recognition software to suggest people to tag in your photos.
  • The accuracy of facial-recognition software has improved significantly.
  • Recent updates have significantly improved the processing speed of this facial-recognition software.
  • Retail stores employ facial-recognition software to prevent shoplifting.
  • The government is currently debating strict regulations on how facial-recognition software can be deployed.
  • Researchers are working to eliminate bias in facial-recognition software.
  • Experts warn that facial-recognition software can sometimes exhibit racial or gender bias in its results.