The following following Axxon PSIM x64 and vertical solutions detection tools detectors grouped by tabs are available for selection.
Base
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detectors
Name | Description
|
|---|
| Motion detection (CPU) | Base |
detection tool | detector (activated when the camera is armed) for decoding by all frames |
and of | the CPU resources. The results are given |
for | with the registry key DetectionFps = 25. Changing the value of the DetectionFps key does not significantly affect the load |
. |
Motion detection (CPU, key frames) | Base |
detection tool detector (activated when the camera is armed) for decoding by key frames |
and of the CPU resources. Changing the frame rate in the settings of the detector |
settings the the Frames processed per second |
parameter parameter) does not significantly affect the load |
. detector | detection (CPU, key frames) | Service |
detection tools detectors for decoding by key frames |
and use СPU detection toolStability detection tool- Video signal stability detector.
- Background change
|
detection tool detection tool detection toolThe platform is calculated for one service |
detection tool detector (any of the listed). The results are given for decoding by key frames |
if the with GOP=25 (every 25th frame is the key frame). The |
detection tool detector is applicable only for H.264 |
, . Tracker
Name | Description
|
|---|
| Tracker VMDA (CPU) | VMDA |
detection tools detectors based on object trajectory tracker when using the |
СPU .| AI Tracker with neural filter (GPU) | VMDA detection tools based on object tracker with use of a neural filter and GPU resources. In this case, the CPU decoder operation mode was used. The models and the number of GPUs are selected separately using the information on the GPU performance for Axxon PSIM detection tools page. |
| AI Neural tracker (CPU, 6fps) | VMDA detection tools based on neural tracker as part of Axxon PSIM Detector Pack with use of CPU resources. The frame rate specified during the Neurotracker module configuration (the Frames processed per second 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 network*. |
AI Neural tracker (VPU, 6fps) | VMDA detection tools based on neural tracker as part of Axxon PSIM Detector Pack with use of VPU resources. In this case, the CPU decoder operation mode was used.
| Neurotracker (CPU, 6 FPS) | The scene analytics detectors based on the Neurotracker when using the CPU resources and resource-intensive neural networks for detection of people or vehicles. You can select the type of recognition object for the detector: Person, Person (top-down view), Vehicle. Relative accuracy: medium, relative resource intensity: low. These neural networks are embedded in the product and can be trained on demand to detect different objects. In brackets is the frame rate that you can specify when configuring the Neurotracker object (the Number of frames processed per second parameter). This is the number of frames per second |
The frame rate specified during the Neurotracker module configuration (the Frames processed per second 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 models and the number of VPUs are selected separately using the information on the VPU performance for Axxon PSIM detection tools page. The results are given for |
a standard size neural network*.the Neurotracker with one working Motion In Area sub-detector |
LPR&Traffic
Name | Description
|
|---|
| License plate recognition VT (CPU) | License plate recognition module VIT as part of Auto Axxon PSIM |
software package СPU . |
| License plate recognition IV (CPU) | License plate recognition module LPR IntelliVision as part of Auto Axxon PSIM |
software package СPU . |
| Vehicle detection IV (CPU) |
Traffic flows information gathering subsystem based on IntelliVision vehicle detection as part of Auto Axxon PSIM software Subsystem of traffic flow data collection based on IntelliVision vehicle detection as part of Auto PSIM when using the CPU resources |
| License plate recognition RR (CPU) | License plate recognition module RR as part of Auto Axxon PSIM software package when using the |
СPU .Face
Facial TVN detection tool Tevian module as of Axxon software package СPU CPU resources. When calculating the platform using this |
detection tooldetector, 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 |
. Railway
Name | Description
|
|---|
| Wagon number recognition ITB, passenger (CPU) | Recognizer of railway passenger carriage numbers based on the IntLab module as part of Auto |
Axxon software package СPU CPU resources. - Optimal resolution is 704*288 OR 640*360, and
|
fps- FPS=25. With a higher resolution, the module will not be able to process all frames, which will reduce the quality of operation.
|
Main - The main channel has the same resource consumption as
|
subordinate .
|
| Wagon number recognition ITB, freight (CPU) | Recognizer of railway freight carriage numbers based on the IntLab module as part of |
Auto Axxon PSIM software package СPU CPU resources.
- Optimal resolution is 704*288 OR 640*360, and
|
fps- FPS=25. With a higher resolution, the module will not be able to process all frames, which will reduce the quality of operation.
|
Main - The main channel has the same resources consumption as
|
subordinate .Behavior analytics
Name | Description
|
|---|
People counter (CPU) | People counter |
detection tool detector that is a part of |
Axxon PSIMthe Axxon PSIM Detector Pack when using the |
СPU Optimal parameters for this detection tool are resolution of 800x600 Optimal parameters for this detector are a resolution of 800x600 / 640x360 / 640x480 / |
320x240 and FPS in range from 24 320x240 and FPS in the range from 24 to 30. |
If specified parameters of the video stream do If specified parameters of the video stream do not meet |
these conditionsthese conditions, then when you |
select this detection tool the resolution is set to 320x240 select this detector, the resolution is set to 320x240 and FPS=24 |
. detection tool | detector (detection of "cold/hot" |
zones | areas of a store) that is a part of |
Axxon PSIM| the Axxon PSIM Detector Pack when using the |
СPU CPU resources. The results are given when frame rate in the detector settings (the Frames processed per second parameter) is 25
|
| Queue length (CPU) | Queue length |
detection tool | detector that is a part of the Axxon PSIM Detector Pack when using the |
СPU CPU resources. The results are given when frame rate in the settings of the detector (the Frames processed per second parameter) is 25
|
Fire&Smoke
detection tool 1fps detection tool 1fps detection tools detectors based on neural |
network as network as part of the Axxon PSIM |
Detector Pack with use of Detector Pack when using the CPU resources. The frame rate specified during the |
detection tool configuration the the Number of frames for analysis and output parameter) is indicated in brackets. |
This fps FPS processed by the module; the frame rate of the incoming video stream is usually higher |
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