Documentation for Axxon Next 4.4.6. Documentation for other versions of Axxon Next is available too.

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

  1. For neural analytics operation, you may use CPUs, GPUs (NVIDIA discrete or Intel embedded), or VPUs (Intel NCS or Intel HDDL). Some NVIDIA SDK specific features allow the neural analytics to work on NVIDIA GPUs only under Windows Server 2019 or Windows 10. 

    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 Next hardware requirements (see Hardware requirements).

    Attention!

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

  2. To use Intel CPU or GPU for analytics, please consider that the following processors are supported: Intel Core starting from 6th generation, Intel Xeon and Intel Pentium N4200/5, N3350/5, or N3450/5 with Intel HD Graphics https://software.intel.com/en-us/openvino-toolkit/hardware.

  3. Video card: NVIDIA GeForce 1050 Ti or higher. Requirements:
    1. at least 2 GB of memory;

    2. Compute Capability 3.0 or higher.

      Note

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

When using a video card, a single neural network requires 500MB of video memory. 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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