Requirements for the operation of Neurotracker the Neural tracker and its sub-tools detectors are given in the table:
Resolution must be at least 640x360 pixels- The optimal resolution for solving typical tasks is 1280x720. We
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also - don't recommend using a resolution higher than 1920×1080, since a higher resolution doesn't increase the detection quality
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, - but significantly increases the consumption of resources. The
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optimal resolution for solving typical tasks is 1280x720- 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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Neurotracker- Neural tracker-based analytics works with both colorless (gray) and color images. When you use a
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neurofilter- neural filter, we recommend using color cameras. 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
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of Neurotracker - of the Neural tracker isn't guaranteed
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when using - if you use a fisheye camera.
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| Lighting | - Lighting in the scene is at least 50 lux. In conditions of insufficient or excessive lighting (night or light-striking), stable operation of the analytics isn't guaranteed
- No abrupt changes in lighting
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| Scene and camera angle | - Moving objects are visually separable from each other
- The background is mostly static and doesn't change abruptly
- Moving objects are minimally obscured by static objects in the scene (columns, trees, and so on)
- The analyzed scene doesn't have reflective surfaces and sharp shadows from moving objects. If present, they must be masked
- Camera shake doesn't result in image offsets greater than 1%
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of the frame sizeObject images | The detected object must be clearly distinguishable by the human eyeWidth and height of objects in the image must not exceed 75% When you use a neurofilter, the minimum width or height of an object must be at least 5% of the width/height of the frameThe image isn't noisy and not distorted by the artifacts of compression algorithmThe duration of the object visibility is at least six framesBetween two frames, an object must move in the direction of a distance not exceeding its size. This condition is necessary for the correct calculation of object trackThe minimum value of pixel density per meter is observed:
| Image resolution | Object type | Minimum pixel density per meter (ratio of the object width in pixels to the object width in meters) | Minimum object size in pixels, width x height | Ratio of the object width to the frame width as a percentage |
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| 1920x1080 | Human | 55 | ~25x105 | ~3% |
| 1280x720 | Human | 35 | ~17x70 | ~3% |
| 640x360 | Human | 17 | ~10x42 | ~3% |
| 1920x1080 | Light vehicle (2 axles) | 55 | ~354x300 | ~20% |
| 1280x720 | Light vehicle (2 axles) | 35 | ~240x205 | ~20% |
640x360 | Light vehicle (2 axles) | 17 | ~132x112 | ~20%