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VisionAccess SDK

Development Toolkit for 3D Face Recognition. Enables development for configuration, network monitoring, deployment and integration of VisionAccess solutions. There are two versions of the SDK components depending on the preferences and/or requirements of the project, BioAPI based components and ActiveX components.

FEATURES

Seamless Integration

  • Integrate into a wide-range of third party applications as well as new application development.
  • Suitable for custom embedded hardware, firmware, and software applications.
  • Ease of integration into existing physical access, IT, and legacy systems and solutions.

Identity Management Based Capabilities

  • Local and network enrollment, storage, and maintenance capability of biometric data.
  • Control, monitor and track user activity entrance into any Face Reader-enabled entrance.
  • Multifactor authentication capabilities for the highest level of security available.
  • Supports industry-standard BioAPI® .
  • Define security thresholds to meet the demands specific to your organization .

Common Developer Tools

  • DCOM Interface Components utilize proprietary VA Connection Protocol to provide access to Face Readers within networked environments.
  • Using either C++, C#, or VB.NET you can quickly and easily build access control system management applications.

Reference Design and Applications

  • VA SDK reference design C++ source projects provide application developers with examples of using SDK library and BioAPI® framework.
  • A reference design application C# source project provides application developers with comprehensive set of samples to manage Face Readers within networked environments.

Door To Desktop

  • Deploy a platform that supports the same 3D template for both physical and logical access.
  • Common and familiar user experience for access to a building or computer. 

SDK CAPABILTIES

  • View 3D Video of a person’s face
  • Create and maintain person’s database
  • Write person’s data to proximity and smart card
  • Recognize person using database
  • Check person’s card with the Card Reader and perform recognition
  • Collect recognition statistics
  • Do Face Feature analysis Perform Technology Evaluation with Verification and Watch List scenario testing