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Name | Description | |
|---|---|---|
People counter (CPU) | Visitor counter when using CPU resources. The results are given when frame rate in the detector settings (the Frames processed per second parameter) is 25. | |
| Heat map (CPU) | Heat map based on object tracker when using the СPU resources. | |
| Queue length (CPU) | Queue detection tool when using the СPU resources. | |
| AI Pose detection (CPU, 3fps) | Pose detection tools based on neural network with use of CPU resources. The frame rate specified during the detection tool 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 number of specific pose detection tools created under the head Pose detection object does not affect the calculation results (except for the Close-standing people detection; to calculate the result with this detection tool, please contact the AxxonSoft support). | |
| AI Pose detection (VPU, 3fps) | Pose detection tools based on neural network with use of VPU resources. In this case, the CPU decoder operation mode was used. The frame rate specified during the detection tool 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 number of specific pose detection tools created under the head Pose detection object does not affect the calculation results (except for the Close-standing people detection; to calculate the result with this detection tool, please contact the AxxonSoft support). The models and the number of VPUs are selected separately using the information on the VPU performance for Axxon One detection tools page. The results are given for the standard neural network included in the Axxon Next One distribution. | |
Equipment detection (CPU, 1fps) | Personal protection equipment (PPE) detection tools based on neural network with use of CPU resources. The frame rate specified during the detection tool 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 detection tool with 5 classification nets operating simultaneously when determining equipment on each body part (head, torso, hands, legs, feet) in a gateway: at the entrance to the area in which the equipment is required, an employee lingers for 5-10 seconds during which the detection tool determines the presence of the necessary equipment. | |
| Equipment detection (VPU, 1fps) | Personal protection equipment (PPE) detection tools based on neural network with use of VPU resources. In this case, the CPU decoder operation mode was used. The frame rate specified during the detection tool 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 detection tool with 5 classification nets operating simultaneously when determining equipment on each body part (head, torso, hands, legs, feet) in a gateway: at the entrance to the area in which the equipment is required, an employee lingers for 5-10 seconds during which the detection tool determines the presence of the necessary equipment. The models and the number of VPUs are selected separately using the information on the VPU performance for Axxon One detection tools page. If you use VPU, please note that due to the peculiarities of the device, only the segmentation neural network will be processed on it, and the CPU will be involved in the operation of the classification neural networks. | |
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