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Here is the list of detection tools:
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Object trajectories detection tool.
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Face-Intellect face detection tool based on the Cognitec recognition module.
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Motion Detection
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Axxon Next
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NOT a smart video detection tool in Axxon Next (Motion detection).
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Motion Detection (decode key frames)
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Axxon Next
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NOT a smart video detection tool in Axxon Next (Motion detection) with key frames decoding enabled.
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License plate recognition detection tool in Axxon Next version 4.0 and newer.
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Face search detection tool in Axxon Next version 4.0 and newer.
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LPR VIT
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Intellect
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Auto-Intellect, VIT license plate recognition module.
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People Counter
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Intellect
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People counter detection tool that is a part of Intellect Detector Pack.
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Virtual Loop
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Intellect
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Auto-Intellect, Vehicle detector module and Vehicle processor module that are the part of the information-gathering subsystem.
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Face-Intellect face detection tool based on the Tevian recognition module.
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Video card requirements:
- minimum 2 GB of memory;
- support for Compute Capability 3.0 or later. Please check the Compute Capability version of the video card on the manufacturer's page.
The detection tool uses 500 MB of video memory regardless of number of channels. Example: for 4 channels of fire detection tool, a video card with no less than 500 MB of memory is required. Several video cards can be in use in one system.
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Video card requirements:
- minimum 2 GB of memory;
- support for Compute Capability 3.0 or later. Please check the Compute Capability version of the video card on the manufacturer's page.
The detection tool uses 500 MB of video memory regardless of number of channels. Example: for 4 channels of smoke detection tool, a video card with no less than 500 MB of memory is required. Several video cards can be in use in one system.
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Axxon Next, Intellect
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Object trajectories detection tool (VMDA) based on neural network in Axxon Next and Intellect.
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Video card requirements:
- minimum 2 GB of memory;
- Compute Capability 3.0 or later. Please check the Compute Capability version of the video card on the manufacturer's page.
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.
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- Optimal resolution of 704*288 OR 640*360 and fps = 25. At a higher resolution the module will not be able to process all frames reducing quality of operation.
- Main channel has the same resources consumption as subordinate channel.
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- Optimal resolution of 704*288 OR 640*360 and fps = 25. At a higher resolution the module will not be able to process all frames reducing quality of operation.
- Main channel has the same resources consumption as subordinate channel.
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Intellect
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Face-Intellect face detection tool based on the Huawei recognition module.
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Axxon Next detection tools:
- Loss of quality;
- Blurred Image Detection;
- Compression Artifacts Detection;
- Image Noise Detection;
- Position change.
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Intellect detection tools:
- focusing detection tool;
- video signal stability detection tool;
- background change detection tool;
- camera blinding detection tool;
- camera covering detection tool.
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| Info | ||
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* - The results are given for Core i5-3570 (3400 MHz) CPU and may vary depending on the CPU installed. For example, the Xeon Gold 6140 (2300 MHz) CPU allows 95 classifications** per second. ** -1 classification per second is 1 object detected on video. For example, if average of 9 moving objects are simultaneously present on video from one camera, and there are 5 cameras in the system, use video card allowing 45 classifications per second. *** - The results are given for the Core i7-8700 (3200 MHz) CPU and may vary depending on the CPU installed. **** - 360 classifications per second were achieved in test utility on the 2x Intel Xeon Gold 6140 platform. In Axxon Next, up to 122 classifications per second were possible with 90% CPU utilization. ***** - The results are given for the Core i7-3770 (3400 MHz) CPU and may vary depending on the CPU installed. |
After adding cameras to the list (see Selecting cameras ), the types of detection tools can be specified too. You can select zero to all detection tool types for each stream. The list of available detection tools depends on the selected software platform (see Selecting software platform).
See detection tools description in the corresponding subsection: Selecting types of detection tools for Axxon Next or Selecting types of detection tools for Intellect
Add detection tools as follows:
- Click
in the Detector column. The detection tool selection form is shown.
- Click the Detectors list.
Check the boxes next to detection tools to add.
- Click
. The selected detection tools are shown in the list in the Detector column.
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