VeriLook SDK

Face identification for stand-alone or Web applications

VeriLook facial identification technology is designed for biometric systems developers and integrators. The technology assures system performance and reliability with live face detection, simultaneous multiple face recognition and fast face matching in 1-to-1 and 1-to-many modes.

Available as a software development kit that allows development of stand-alone and Web-based solutions on Microsoft Windows, Linux, Mac OS X, iOS and Android platforms.

Technical Specifications

32 pixels is the minimal distance between eyes for a face on image or video stream to perform face template extraction reliably. 64 pixels or more recommended for better template extraction results.

All face templates should be loaded into RAM before identification, thus the maximum face template database size is limited by the amount of available RAM.

VeriLook has certain tolerance to face posture that assures face enrollment convenience:

  • head roll (tilt) – ±180 degrees (configurable);
    ±15 degrees default value is the fastest setting which is usually sufficient for most near-frontal face images.
  • head pitch (nod) – ±15 degrees from frontal position.
  • head yaw (bobble) – ±45 degrees from frontal position (configurable).
    ±15 degrees default value is the fastest setting which is usually sufficient for most near-frontal face images.

See also the whole list of recommendations and constraints for facial recognition.

VeriLook 9.0 face detection algorithm can run in maximal speed or maximal accuracy modes. The face detection times in the table below are provided for 640 x 480 pixels images as ranges, where the smallest time corresponds to the maximal speed mode, and the largest time – to the maximal accuracy. The head pitch tolerance in the table below is always ±15°.

VeriLook 9.0 face detection algorithm performance for all faces in a frame on PC-based systems (milliseconds)
Roll tolerance Yaw tolerance Intel Core i7-4771
±15° ±15° 6 - 11
±15° ±45° 10 - 23
±45° ±45° 23 - 53
±180° ±15° 53 - 132
±180° ±45° 130 - 330

VeriLook biometric template extraction and matching algorithm is designed to run on multi-core processors allowing to reach maximum possible performance on the used hardware. Face template extraction is performed after all faces are detected in a frame. The template extraction time does not depend on image size.

VeriLook 9.0 face engine specifications
  Embedded / mobile (1)
PC-based (2)
Template extraction components Embedded
Template extraction time (seconds) 1.34 1.20 1.34 0.60
Template matching components Embedded Face Matcher Face Matcher
Template matching speed
(faces per second)
3,000 40,000
Single face record size in a template (bytes) 4,028 or 5,066 or 7,128

(1) Requires to be run on iOS devices or Android devices based on at least Snapdragon S4 system-on-chip with Krait 300 processor (4 cores, 1.51 GHz).
(2) Requires to be run on PC or laptop with at least Intel Core 2 Q9400 quad-core processor (2.67 GHz) to reach the specified performance.