Technical Specifications

Face Detection

  • Robust frontal face detection
  • Detection of multiple faces in a photo
  • Head rotation support:  –30..30 degrees of in-plane rotation and –30..30 degrees out-of-plane rotation
  • Determines in-plane face rotation angle
  • Detection speed: as fast as 370 frames per second*, depending on resolution
    • Realtime detection: 0.0027 sec (370 FPS)*, webcam resolution, –15..15 degrees of in-plane head rotation
    • Reliable detection: 0.7 sec, digicam resolution, –30..30 degrees of in-plane head rotation
  • Returned information for each detected face: (x,y) coordinates of face center, face width and rotation angle
  • Easy configuration of face detection parameters

Face Matching

  • Matching of two faces at given FAR (False Acceptance Rate) and FRR (False Rejection Rate)
  • Enrollment time: 0.117 seconds (8.5 FPS)* (at webcam resoluton)
  • Template Size: 16 kb
  • Matching speed: 30,000 faces per second*
  • Returned information: facial similarity level

Facial Feature Detection

  • Detection of 40 facial feature points (eyes, eyebrows, mouth, nose, face contour)
  • Detection time: 0.59 second* (not including face detection stage)
  • Allowed head rotation: –30..30 degrees of in-plane rotation, –10..10 degrees out-of-plane rotation
  • Returned information: array of 40 (x,y) coordinates of each facial feature point

Library Size

  • The size of the redistributables does not exceed 10MB for each platform.

* Measured on Intel 2.4 Ghz Processor

Download Evaluation Version     Ordering Information  

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Latest News

22.07.2010 Blink! 2.1 Released!
Blink! 2.1 Released! Securely login to Windows Vista/7, for both the 32- and 64-bit editions!

25.03.2010 FaceSDK 3 Released!
FaceSDK 3 goes gold! The updated release of FaceSDK vastly improves face recognition speed and accuracy over the previous version.

10.02.2010 Blink! 2.0 Automates Windows Login and Boosts Recognition Rate
Luxand updates Blink!, an innovative face-based biometric login system, with better and faster face recognition algorithms.

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