VeriLook Embedded SDK System Requirements

• A smartphone or tablet or other device that is running Android 2.2 (API 8) OS or newer.
• ARM-based 1 GHz processor recommended for face processing in less than 1 second. Slower processors may be also used, but the face processing will take longer time.
• At least 20 MB of free RAM should be available for the application. Additional RAM is required for applications that perform 1-to-many identification, as all biometric templates need to be stored in RAM for matching. For example, 1,000 templates (each containing 1 face record) require about 5 MB of additional RAM.
• Free storage space (built-in flash or external memory card):
  • 30 MB required for VeriLook Embedded components deployment for each separate application.
  • Additional space would be required if an application needs to store original face images. VeriLook Embedded does not require the original face image to be stored for the matching; only the templates need to be stored.
• Camera (optional). VeriLook Embedded is able to work with all cameras that are supported by Android OS. At least 0.3 MegaPixel (640 x 480 pixels) camera is required for the VeriLook Embedded biometric algorithm. Integrators may also use image files or receive image data from external devices like flatbed scanners or stand-alone cameras.
• Network connection. A VeriLook Embedded-based application may require network connection for activating the VeriLook Embedded component licenses. See the list of available activation options in the licensing model for more information. Also, network connection may be required for client/server applications.
• PC-side development environment requirements:
  • Java SE JDK 6 (or higher)
  • Eclipse Indigo (3.7) IDE
  • Android development environment (at least API 8 required)
  • Maven 3.0.3
  • Internet connection for activating VeriLook Embedded component licenses

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