Neurotechnology company logo
Menu button

System Requirements

There are specific requirements for each platform which will run applications based on Neurotechnology Face Verification system.

Click on specific platform to view the corresponding requirements.

System Requirements for Client-side PC or Mac platform

  • PC, Mac or laptop with x86-64 (64-bit) compatible processors.
    • 2 GHz or better processor is recommended.
    • AVX2 support is highly recommended. Processors that do not support AVX2 will still run Neurotechnology Face Verification algorithm, but in a mode, which will not provide the specified performance. 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 the application.
  • A camera or webcam which is accessible using:
    • DirectShow interface on Microsoft Windows.
    • GStreamer interface on macOS or Linux.
  • Internet connection required for managing the Face Verification transaction licenses
  • Microsoft Windows specific requirements:
    • Microsoft Windows 7 / 8 / 10 / 11.
    • Microsoft .NET framework 4.5 or newer (for .NET components usage).
    • One of following development environments for application development:
      • Microsoft Visual Studio 2012 or newer (for application development under C/C++, C#, Visual Basic .Net)
      • Java SE JDK 8 or newer
  • macOS specific requirements:
    • macOS 10.13 or newer.
    • XCode 9.3 or newer (for application development)
    • 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 (for application development)
    • GNU Make 3.81 or newer (to build samples and tutorials development)
    • Java SE JDK 8 or newer (for application development)
  • Linux specific requirements:
    • Linux 4.9 kernel or newer
    • glibc 2.24 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
    • gcc 6.3 or newer (for application development)
    • GNU Make 3.81 or newer (for application development)
    • Java SE JDK 8 or newer (for application development)

System Requirements for Client-side Android-based platform

  • A smartphone or tablet that is running Android 5.0 (API level 21) 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 face processing in the specified time. Slower processors may be also used, but the face processing will take longer time.
  • 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 8 (or higher)
    • AndroidStudio 4.0 IDE
    • AndroidSDK 21+ API level
    • Gradle 6.8.2 build automation system or newer
    • Android Gradle Plugin 4.1.2
    • Internet connection for managing the Face Verification transaction licenses

System Requirements for Client-side iOS platform

  • 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 10.13 or newer.
    • Xcode 9.3 or newer.

System Requirements for Server-side platform

  • Server hardware with:
    • Intel Core i9-9900K or similar multi-core processor from Intel.
    • At least 32 GB of RAM.
    • Optional GPU for both decoding of video streams and for the inference engine to increase the number of concurrent requests that are manageable by a single server.
    • SSD persistent storage is recommended for increasing overall system performance.
  • Linux 4.9 or newer kernel.
  • glibc 2.24 or newer.
  • High-speed network connection.
Facebook icon   LinkedIn icon   Twitter icon   Youtube icon   Email newsletter icon
Copyright © 1998 - 2024 Neurotechnology