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System Requirements

There are specific requirements for each platform which will run SentiMask-based applications.
Click on specific platform to view the corresponding requirements.

Microsoft Windows platform requirements

  • Microsoft Windows 7 / 8 / 10.
  • PC or laptop with x86-64 (64-bit) compatible processors.
    • At least 2 GHz processor is required. 3 GHz or faster CPU is recommended for performing real-time face tracking in applications, which also require lots of CPU resources (i.e. computer games).
    • AVX2 support is required for real-time face tracking. Most modern processors support this instruction set, but please check if a particular processor model supports it.
  • At least 512 MB of free RAM should be available for a SentiMask-based application.
  • Any webcam or camera, which is accessible using DirectShow, Windows Media or Media Foundation interfaces, is supported by SentiMask on Microsoft Windows platform.
  • Microsoft .NET framework 4.5 or newer (for .NET components usage).
  • Microsoft Visual Studio 2012 or newer (for application development under C/C++, C#, Visual Basic .Net)

Android platform requirements

  • A smartphone or tablet that is running Android 4.4 (API level 19) OS or newer.
    • If you have a custom Android-based device or development board, contact us to find out if it is supported.
  • ARM-based 1.5 GHz processor recommended for real-time face processing.
  • At least 256 MB of free RAM should be available for the application.
  • Any smartphone's or tablet's built-in camera which is supported by Android OS. The camera should have at least 0.3 MegaPixel (640 x 480 pixels) resolution.
  • PC-side development environment requirements:
    • Java SE JDK 7 (or higher)
    • Eclipse Oxygen (1a) IDE
    • Android development environment (at least API level 19 required)
    • Gradle 4.6 build automation system or newer
    • Internet connection for activating SentiMask component licenses

iOS platform requirements

  • One of the following devices, running iOS 11.0 or newer:
    • iPhone 5S or newer iPhone.
    • iPad Air or newer iPad models.
  • At least 256 MB of free RAM should be available for the application.
  • Development environment requirements:
    • a Mac running macOS 10.12.6 or newer.
    • Xcode 9.x or newer.

macOS platform requirements

  • A Mac running macOS 10.12.6 or newer. 2 GHz or better processor is recommended.
  • At least 512 MB of free RAM should be available for the application.
  • Any webcam or camera which is accessible using GStreamer interface, is supported by SentiMask on macOS platform.
  • Specific requirements for application development:
    • XCode 6.x or newer
    • GStreamer 1.10.x or newer with gst-plugin-base and gst-plugin-good is required for face capture using camera/webcam or rtsp video.
    • wxWidgets 3.0.0 or newer libs and dev packages (to build and run SDK samples and applications based on them)
    • GNU Make 3.81 or newer (to build samples and tutorials development)

Linux x86-64 platform requirements

  • Linux 3.10 kernel or newer is required.
  • PC or laptop with x86-64 (64-bit) compatible processors.
    • At least 2 GHz processor is required. 3 GHz or faster CPU is recommended for performing real-time face tracking in applications, which also require lots of CPU resources (i.e. computer games).
    • AVX2 support is required for real-time face tracking. Most modern processors support this instruction set, but please check if a particular processor model supports it.
  • At least 512 MB of free RAM should be available for a SentiMask-based application.
  • Any webcam or camera which is accessible using GStreamer interface, is supported by SentiMask on Linux platform.
  • glibc 2.17 library or newer
  • GStreamer 1.10.x or newer with gst-plugin-base and gst-plugin-good is required for face capture using camera/webcam or rtsp video.
  • Specific requirements for application development:
    • wxWidgets 3.0.0 or newer libs and dev packages (to build and run SDK samples and applications based on them)
    • gcc 4.8 or newer
    • GNU Make 3.81 or newer
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