Requirements for the operation of the Neural tracker and its sub-detectors are given in the table:
| Camera | - The optimal resolution for solving typical tasks is 1280x720. We don't recommend using
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The Neurotracker operation imposes the following requirements:
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- a resolution higher than 1920×1080, since a higher resolution
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- doesn't increase the detection quality
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- but significantly increases the consumption of resources. The
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- minimum resolutions for each neural network are listed in the table:
| Name of the neural network | Neural network (Detector Pack 3.16) | Neural network (Detector Pack 3.15) | Minimum resolution |
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| Vehicle | GeneralNMCar_v1.0_onnx | GeneralNMCar_v1.0CPU_IR10_FP16 | 300x300 | | GeneralNMCar_v1.0GPU_onnx | | Person | GeneralNMHuman_v1.0_onnx | GeneralNMHuman_v1.0_IR10_FP16 | | GeneralNMHuman_v1.0GPU_onnx | | Person (top-down view) | GeneralNMHumanTopView_Nano_v1.0_onnx | GeneralNMHumanTopView_v0.8CPU_IR10_FP16 | | GeneralNMHumanTopView_v0.8GPU_onnx | Person (top-down view Nano)
| GeneralNMHumanTopView_Nano_v1.0_onnx | GeneralNMHumanTopView_Nano_v1.0_CPU_IR10_FP16 | 576x320
| | GeneralNMHumanTopView_Nano_v1.0_GPU_onnx | | Person (top-down view Medium) | GeneralNMHumanTopView_Medium_v1.0_onnx | GeneralNMHumanTopView_Medium_v1.0_CPU_IR10_FP16 | | GeneralNMHumanTopView_Medium_v1.0_GPU_onnx | Person (top-down view Large)
| GeneralNMHumanTopView_Large_v1.0_onnx | GeneralNMHumanTopView_Large_v1.0_CPU_IR10_FP16 | | GeneralNMHumanTopView_Large_v1.0_GPU_onnx | | Person and vehicle (Nano) | GeneralNMHumanAndVehicle_Nano_v1.0_onnx | GeneralNMHumanAndVehicle_Nano_v1.0_CPU_IR10_FP16 | 1152x640 | | GeneralNMHumanAndVehicle_Nano_v1.0_GPU_onnx | | Person and vehicle (Medium) | GeneralNMHumanAndVehicle_Medium_v1.0_onnx | GeneralNMHumanAndVehicle_Medium_v1.0_CPU_IR10_FP16 | | GeneralNMHumanAndVehicle_Medium_v1.0_GPU_onnx | | Person and vehicle (Large) | GeneralNMHumanAndVehicle_Large_v1.0_onnx | GeneralNMHumanAndVehicle_Large_v1.0_CPU_IR10_FP16 | | GeneralNMHumanAndVehicle_Large_v1.0_GPU_onnx |
- The frame rate per second in the video stream from the camera is at least 8 for solving typical tasks
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- Neural tracker-based analytics works with both colorless (gray) and color images. When you use a neural filter, we recommend using color cameras.
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- When you use black-and-white cameras, the recognition quality can be noticeably worse
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| - Correct operation of the detector isn't guaranteed if you use frames that were masked before they got into Axxon One by an IP camera or similar methods.
- Correct operation of the Neural tracker isn't guaranteed if you use a fisheye camera.
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| Lighting | - Lighting in the scene is at least 50 lux
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- . In conditions of insufficient or excessive lighting (night or light-striking), stable operation of the
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- No abrupt changes in lighting
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| - Moving objects are visually separable from each other
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- The background is mostly static and
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- Moving objects are minimally obscured by static objects in the scene (columns, trees,
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- doesn't have reflective surfaces and sharp shadows from moving objects. If present, they
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- doesn't result in image offsets greater than 1% of the frame size
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Correct operation of the Neurotracker is not guaranteed when using a fisheye lens. |
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Hardware requirements for neural analytics operation
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