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VeriLook SDK


Overview | SDK for Windows | SDK for Linux | Order

Overview

VeriLook SDK is based on the VeriLook technology and is intended for biometric systems developers and integrators. It allows rapid development of the biometric application using functions from VeriLook library, which ensure high reliability of the face identification, 1:1 and 1:N matching modes, multiple faces' processing, comparison speed up to 80,000 faces per second.

VeriLook can be easily integrated into the customer's security system. The integrator has a complete control over SDK data input and output; therefore SDK functions can be used in connection with most cameras and databases. Integrator could develop any user interface.

These types of VeriLook 2.0 SDK are available:

 

 


VeriLook 2.0 SDK for Windows

Enrollment screenshot
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Identification screenshot 1
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Identification screenshot 2
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VeriLook 2.0 SDK for Windows distribution package contains:

  • VeriLook DLL (one license);
  • Interface for image input from file;
  • Interface for image input from camera;
  • Source codes of DLL usage sample application in C/C++;
  • Source codes of DLL usage sample application in C#;
  • Source codes of DLL usage sample application in Visual Basic 6;
  • Source codes of DLL usage sample application for MS Access (in VBA);
  • Documentation.

System requirements for VeriLook 2.0 SDK for Windows:

  • PC with Pentium 1 GHz processor or better;
  • Optionally, camera or web cam (recommended frame size: 640 x 480);
  • Microsoft Windows 9x/ME/NT/2000/XP;
  • Microsoft DirectX 8.1 or later. Could be downloaded here;
  • Microsoft XML Parser (MSXML) 3.0. Could be downloaded here;
  • Microsoft GDI+ library.

VeriLook 2.0 SDK for Linux

VeriLook 2.0 SDK for Linux distribution package contains:

  • VeriLook shared library (one license);
  • Interface for image input from file;
  • Interface for image input from camera;
  • Source codes of library usage sample application in C/C++;
  • Documentation.

System requirements for VeriLook 2.0 SDK for Linux:

  • PC with Pentium 1 GHz processor or better;
  • Optionally, camera or web cam (recommended frame size: 640 x 480);
  • Linux (based on glibc 2.2.5 or compatible);

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