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The hardware requirements for the neural network-based analytics the neural analytics (see General information on Neural Analytics) are:

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

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

   Info
   title Note
   To connect an Intel NCS, insert the device into a USB port and make sure that it is recognized by Windows OS as a USB device with one of the following names:  MovidiusMovidius, Myriad X, or VSC Loopback Device.  Intel NCS may be used with any PC that conforms to meets Axxon One hardware requirements (see Hardware requirements).

   
   

   Note
   title 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 revisionrevisions.
   Note
   title 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 the detection tool uses CPU or Intel GPU resources, make note of the following requirements should be met:  

   1. supported Supported CPUs:

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

         Note
         title Attention!
         When using a CPU lower than 6th Generation Intel® Core™ processors, the operation of the detection tool 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 At least 2 GB of memory;
   2. CUDA 11.1 − 11.4;

   3. Compute Capability 3.5 − 8.6.

      Infonote
      title Note
      You can check the GPU's Compute Capability version on the manufacturer's website.
      Attention!
      Note
      title Attention!
      CUDA is compatible with generations of computers with the following architectures: Kepler (partially), Maxwell, Pascal, Volta, Turing, Ampere (partially) (see CUDA).
      If you use NVIDIA graphics cards, make sure to download the latest drivers from the manufacturer's website.

      
      

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

      
      

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

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