NeoFace Facial Recognition

 
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Neoface

Reliable facial recognition

Capture accurate face images from a distance with NeoFace.  Its ‘Adaptive Region Mixed Matching’ technology focuses on segment regions on the face, giving you a higher-quality and more precise match.



If you’ve used other makers' products, you’ll know they aren’t always accurate. That’s because the programs judge certain combined characteristics, such as the distance between the eyes and the nose, or the nose and the mouth. But this creates a problem, because if even one of these segments is missing, the accuracy drops dramatically.

NeoFace, on the other hand, divides the input image and the registered image into small segments, and only focuses on highly-similar segments of the face. This gives you a more authentic match, even if part of the subject's face is hidden by a mask or glasses, for example.

NeoFace facial recognition at a glance

  • access it via the web
  • real-time CCTV monitoring and alerting
  • use it on your mobile or PDA (personal digital assistant)
  • compact, remote and intelligent
  • comes with office automation and reception applications
  • access control and integration
  • educational solutions
  • used around the world for immigration and border control
Do you need a superior facial recognition tool? NeoFace is the accurate non-contact solution used around the world for immigration and border control.

Compared with other biometrics systems such as fingerprint, palmprint and iris, face recognition has distinct advantages because of its non-contact process.

They include:

  • face images can be captured from a distance without touching the person the person identified
  • indentification requires zero interaction
  • serves as a crime deterrent
  • images can be archived and used at a later date to identify an individual.

NEC's face recognition technology can be implemented as a functionally independent application or seamlessly integrated into new or existing biometrics security solutions.

Features of NeoFace include:

  • 1:1 verification
  • 1:n identification
  • GLVQ based multiple matching face detection
  • recognition based on neural network technology
  • head, face and eye position detection
  • image resolutions up to 2,147, 483,647 x 2,147, 483,647 pixels
  • recognition regardless of vantage point and facial changes (glass, facial hair or expression)
  • extraction of similar facial areas
  • flexible integration into many types of video monitoring systems
  • supports diverse graphic and video formats as well as live cameras
  • matching speed of up to 1,000,000 faces per second
  • infrared camera support.

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