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The following Intellect x64 and vertical solutions detection tools grouped by tabs are available for
...
selection.
Base detection tools
Name | Description | Features of calculation |
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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.
- 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.
Object trajectories detection tool.
Face-Intellect face detection tool based on the Cognitec recognition module.
Face-Intellect face detection tool based on the Huawei recognition module.
Face-Intellect face detection tool based on the Tevian recognition module.
LPR VT
Auto-Intellect, VIT license plate recognition module.
People Counter
People counter detection tool that is a part of Intellect Detector Pack.
Virtual Loop
Auto-Intellect, Vehicle detector module and Vehicle processor module that are the part of the information-gathering subsystem.
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 in seconds between processed frames 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 documentation for the Detector Pack subsystem).
Motion Detection (key frames) | Base detection tool activated when the camera is armed. | The detection tool is applicable only for H.264, H.265 codecs. The platform is calculated for decoding by key frames if the GOP=25 (every 25th frame is the key frame) |
| Service Detection (key frames) | Service detection tools:
| The platform is calculated for one service detection tool (any of the listed) The detection tool is applicable only for H.264, H.265 codecs. The platform is calculated for decoding by key frames if the GOP=25 (every 25th frame is the key frame) |
Tracker
Name | Description | Features of calculation |
|---|---|---|
| Tracker VMDA | VMDA detection tools based on object trajectory tracker | - |
| Tracker with neural filter (GPU) | VMDA detection tools based on object tracker with use of a neural filter and |
GPU resources | For each track, one image per second is sent to neural network for classification.
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| Neural tracker (CPU, 6fps) | VMDA detection tools based on neural tracker as part of Intellect Detector Pack with use of CPU resources The frame rate specified during the Neurotracker module configuration (the Frame rate limit parameter) is indicated in brackets. This is the number of fps processed by the module; the frame rate of the incoming video stream is usually higher. | The results are given for a standard size neural network5 |
| Neural tracker (VPU, 6fps) | VMDA detection tools based on neural tracker as part of Intellect Detector Pack with use of VPU resources The frame rate specified during the Neurotracker module configuration (the Frame rate limit parameter) is indicated in brackets. This is the number of fps processed by the module; the frame rate of the incoming video stream is usually higher. | 1 Mustang-V100-MX8 (Intel HDDL) card processes up to 60 video channels regardless of video resolution. Multiple Mustang-V100-MX8 (Intel HDDL) cards can be used on the server. The results are given for a standard size neural network5 |
LPR&Traffic
Name | Description | Features of calculation |
|---|---|---|
| AUTO-Uragan | License plate recognition module AUTO-Uragan as part of Auto Intellect software package | - |
| VIT | License plate recognition module VIT as part of Auto Intellect software package | - |
| LPR IntelliVision | License plate recognition module LPR IntelliVision as part of Auto Intellect software package | - |
| IntelliVision vehicle detection | Traffic flows information gathering subsystem based on IntelliVision vehicle detection as part of Auto Intellect software package | - |
Face
Name | Description | Features of calculation |
|---|---|---|
| Facial recognition | Face detection tool based on the Tevian recognition module as part of Face Intellect software package | When calculating the platform using this detection tool, only the resources for face detection and their vectorization are taken into account. The load from comparing faces with the reference database is not taken into account, because usually a separate server is provided to perform this function. |
Carriages
Name | Description | Features of calculation |
|---|---|---|
| IntLab-Carriages (passenger) | Recognizer of railway passenger carriage numbers based on the IntLab module as part of Auto Intellect software package |
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| IntLab-Carriages (freight) | Recognizer of railway freight carriage numbers based on the IntLab module as part of Auto Intellect software package |
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Behavior analytics
Name | Description | Features of calculation |
|---|---|---|
People counter detection | People counter detection tool that is a part of Intellect Detector Pack. | Optimal parameters for this detection tool are resolution of 800x600 / 640x360 / 640x480 / 320x240 and FPS in range from 24 to 30. If specified parameters of the video stream do not meet these conditions, then when you select this detection tool the resolution is set to 320x240 and FPS=24. |
| Heat Map detection | Heat map detection tool that is a part of Intellect Detector Pack. | - |
| Queue length detection | Queue length detection tool that is a part of Intellect Detector Pack. | - |
Fire&Smoke
Name | Description | Features of calculation |
|---|---|---|
Fire detection tool (CPU, 0.1fps) Smoke detection tool (CPU, 0.1fps) | Fire and smoke detection tools based on neural network as part of Intellect Detector Pack with use of CPU resources The frame rate specified during the detection tool configuration (the Number of frames for analysis and output parameter) is indicated in brackets. This is the number of fps |
Intellect detection tools:
- focusing detection tool;
- video signal stability detection tool;
- background change detection tool;
- camera blinding detection tool;
- camera covering detection tool.
processed by the module; the frame rate of the incoming video stream is usually higher. | - |
| Info | ||
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| * - 1 – The results are given for the 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 **2 per second. ** -2 – 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, then you need to use a video card allowing 45 classifications per second. *** -3 – 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. ***** -4 – The results are given for the Core i7-3770 (3400 MHz) CPU and may vary depending on the CPU installed. 5 – The results are given for a neural network capable of detecting an object sized at least 5% of the frame width/height. The results may differ for a neural network capable of detecting smaller objects (since more resources are required). |