Requirements for the operation of the Neural tracker and its sub-detectors are given in the table:
| Camera | Resolution must be at least 640x360 pixels- The optimal resolution for solving typical tasks is 1280x720. We
also - don't recommend using a resolution higher than 1920×1080, since a higher resolution doesn't increase the detection quality
, - but significantly increases the consumption of resources. The
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 | Minimum resolution |
|---|
| Vehicle | GeneralNMCar_v1.0_onnx | 300x300 | | GeneralNMCar_v1.0_onnx__int8 | | Person | GeneralNMHuman_v1.0_onnx_ | | GeneralNMHuman_v1.0_onnx_int8 | | GeneralNMHuman_v1.0GPU_onnx | | Person (top-down view) | GeneralNMHumanTopView_v0.8_onnx | | GeneralNMHumanTopView_v0.8_onnx_int8 | | Person (top-down view Nano) | GeneralNMHumanTopView_Nano_v1.0_onnx | 576x320 | | Person (top-down view Medium) | GeneralNMHumanTopView_Medium_v1.0_onnx | | GeneralNMHumanTopView_Medium_v1.0_GPU_onnx | | Person (top-down view Large) | GeneralNMHumanTopView_Large_v1.0_onnx | | Person and vehicle (Nano) | GeneralNMHumanAndVehicle_Nano_v1.0_GPU_onnx | 1152x640 | | GeneralNMHumanAndVehicle_Nano_v1.0_onnx | | GeneralNMHumanAndVehicle_Nano_v1.0_onnx_int8 | | Person and vehicle (Medium) | GeneralNMHumanAndVehicle_Medium_v1.0_onnx | | GeneralNMHumanAndVehicle_Medium_v1.0_onnx__int | | Person and vehicle (Large) | GeneralNMHumanAndVehicle_Large_v1.0_onnx | | GeneralNMHumanAndVehicle_Large_v1.0_onnx_int8 |
- The frame rate per second in the video stream from the camera is at least 8 for solving typical tasks
- Neural tracker-based analytics works with both colorless (gray) and color images. When you use a neural filter, we recommend using color cameras. When you use black-and-white cameras, the recognition quality can be noticeably worse
| Note |
|---|
| - 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.
|
|
| 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
|
| 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% of the frame size
|
