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Name

DescriptionFeatures of calculation
Base

Motion Detection (CPU, 20fps)

NOT a smart video detection tool (Motion detection).

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Motion Detection (key frames)

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

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Service detector (key frames)

Axxon Next detection tools:

  • Loss of quality;
  • Blurred Image Detection;
  • Compression Artifacts Detection;
  • Image Noise Detection;
  • Position change.
The platform is calculated for one service detection tool (any of the listed)
Motion Detection (GPU, 20fps)

Tracker


Tracker VMDA

Object trajectories detection tool.

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AI tracker 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.

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 parameter). 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 (VPU, 6fps)Scene Analytics tool based on neural tracking using the Vision processing unit (VPU) resources

1 x Mustang-V100-MX8 (Intel HDDL) card processes up to 60****** video channels regardless of video resolution.

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.

LPR&TrafficLicense Plate Recognition

License plate recognition detection tool

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FaceFace Search

Face search detection tool

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Fire&SmokeFire 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).

Behavior analyticsPose detection (CPU, 3fps)Pose detection based on neural network

The number of specific pose detection tools created under the Pose detection object as well as average number of objects detected per certain time period do not affect the calculation results (except Close-standing people detection which contributes to the overall load).

The platform is calculated for Delay between two measurements value of 333 ms (i.e. Frame processed per second value of 3 fps which is different from the default value).

Pose detection (VPU, 3fps)Pose detection based on neural network using the Vision processing unit (VPU) resources

The number of specific pose detection tools created under the Pose detection object as well as average number of objects detected per certain time period do not affect the calculation results (except Close-standing people detection which contributes to the overall load).

The platform is calculated for Delay between two measurements value of 333 ms (i.e. Frame processed per second value of 3 fps which is different from the default value).

If decoding is performed on CPU, 2x Intel Xeon Gold 6130T or 1х Intel core i7-8700 process up to 28 channels******

Equipment detection (CPU, 1fps)

Equipment detection (VPU, 1fps)

Personal protection equipment (PPE) detection tool based on neural network-

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