Documentation for Axxon One 1.0.

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The hardware requirements for the neural network-based analytics are:

  1. Some NVIDIA SDK specific features allow the neural analytics to work only under Windows Server 2019 or Windows 10. 

  2. For neural analytics operation, you may use CPUs, GPUs (NVIDIA discrete or Intel embedded), or VPUs (Intel NCS or Intel HDDL). 

    Note

    To connect an Intel NCS, insert the device into a USB port and make sure that it is recognized by Windows OS as one of the following: Movidius, Myriad X, or VSC Loopback Device. 

    Intel NCS may be used with any PC that conforms to Axxon One hardware requirements (see Hardware requirements).

    Attention!

    We do not recommend using more than one Intel NCS device per Server.

    You can use several Intel HDDL devices on the Server if they have the same revision.

    Attention!

    For Intel HDDL to work correctly with AMD processors, pre-install the OpenVINO ™ toolkit version 2019.3.379 (see Installing openvino windows).

  3. If a detection tool uses CPU or Intel GPU resources, make note of the following requirements:  

    1. supported CPUs:

      1. 6th-10th Generation Intel® Core™ processors;

        Attention!

        When using a CPU lower than 6th Generation Intel® Core™ processors, the operation of the detectors is not guaranteed.

      2. Intel® Xeon® v5 family;
      3. Intel® Xeon® v6 family;
      4. Intel® Movidius™ Neural Compute Stick;
      5. Intel® Neural Compute Stick 2;
      6. Intel® Vision Accelerator Design with Intel® Movidius™ VPUs;
    2. OpenVino should support the Intel CPU in use (see https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit/system-requirements.html).
    3. CPU should support the AVX2 or AVX512 instruction set (see https://ark.intel.com/content/www/us/en/ark/search/featurefilter.html?productType=873&1_Filter-InstructionSetExtensions=3533&1_Filter-Family=595).
  4. Video card: NVIDIA GeForce 1050 Ti or higher. Requirements:
    1. at least 2 GB of memory;

    2. Compute Capability 3.5 − 8.6.

      Note

      You can check the GPU's Compute Capability version on the manufacturer's website.

      Attention!

      If you use NVIDIA graphics cards, make sure to download the latest drivers from the manufacturer's website.

When using a video card, a single neural network requires 500 MB of video memory, except for the neural network for face detection (see Hardware requirements for face detection) and license plate recognition (RR) (see Hardware requirements for License plate recognition (RR)). For example: a "neural" fire detection tool and a "neural" smoke detection tool, both with unlimited number of channels, require a 1 GB graphics card or higher. You can use multiple video cards in your system.

Attention!

For correct operation of a detection tool, video image must match a specified set of requirements.

Requirements for each particular detection tool are listed in corresponding sections (see Configuring detection tools).

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