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Name

DescriptionFeatures of calculation
Video Content Analytic

Object trajectories detection tool.

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Motion Detection

NOT a smart video detection tool (Motion detection).

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Motion Detection (decode key frames)

NOT a smart video detection tool (Motion detection) with key frames decoding enabled.

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License Plate Recognition

License plate recognition detection tool

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Face Search

Face search detection tool

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Fire and smoke Detection (CPU)Fire and smoke detection based on neural networkIn order to enhance quality of operation and reduce CPU usage, it is recommended to use the detection tool with calculation on GPU.
Fire and Smoke Detection (GPU)Fire and smoke detection based on neural network using the GPU resources.

500 MB of video memory per detection type is required regardless of the number of channels. For example, for any number of smoke detection channels, 500 MB is required, and if the server has any number of both smoke and fire detector channels at the same time, a video card with at least 1 GB of memory should be in use.

Several video cards can be in use in one system.

If the Time between processed frames in seconds parameter is set to the default value (10 seconds), any NVidia graphics card compatible with the detection tool will be suitable (see the requirements in the Axxon Next User Guide).

VCA with neural filter (GPU)

Object trajectories detection tool (VMDA) based on neural network and using the GPU resources

For each track, one image per second is sent to neural network for classification.

  • The NVIDIA GeForce GT 730 video card is capable of processing about 70* classifications** per second.
  • The NVIDIA GeForce GTX 1070 video card is capable of processing about 220*** classifications per second.
  • The NVIDIA Tesla P40 video card is capable of processing about 122**** classifications per second.
  • The Intel Neural Compute Stick 1 (movidius I) is capable of processing about 58***** classifications per second.

  • The Intel Neural Compute Stick 2 (movidius II) is capable of processing about 200***** classifications per second.

Several video cards can be in use in one system.

For example, if you need to track 9 persons per second on 10 cameras, GeForce GTX 1070 or similar video card is suitable.

Up to two Intel Neural Compute Stick can be in use in one system.

Video Content Analytics (IV)A smart video detection tool-
Service detection (key frames)

Axxon Next detection tools:

  • Loss of quality;
  • Blurred Image Detection;
  • Compression Artifacts Detection;
  • Image Noise Detection;
  • Position change.
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VCA (Axis ACAP)For Axis IP-devices only. This is an AxxonSoft Video Content Analytic (VCA) detection tool built into Axis device. See also AxxonSoft tracking in Axis devices (Intellect) or AxxonSoft tracking in Axis devices (Axxon Next).The detection tool performs calculations using camera resources, and therefore has low hardware requirements.
Neural tracker (CPU, 6fps)Scene Analytics tool based on neural trackingThe frame rate shown in parentheses is specified when configuring the Neurotracker module (with the Frame rate limitparameter). This is the number of frames per second processed by the module; the frame rate of the incoming video stream is usually higher.
Neural tracker (Intel HDDL, 6fps)

Scene Analytics tool based on neural tracking using the VPU resources

The frame rate shown in parentheses is specified when configuring the Neurotracker module (with the Frame rate parameter). This is the number of frames per second processed by the module; the frame rate of the incoming video stream is usually higher.

The neural network processes the whole frame

Section

The Intel HDDL (Mustang-V100-MX8) neural processing unit performance at 6 fps:

PlatformThe number of channels (regardless of resolution) that one unit is capable of processing
i5-740014
i5-860022
i7-970035
2x Intel Xeon Silver 411040
2x Intel Xeon Gold 613050



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