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. We also don't recommend using a resolution higher than 1920×1080, since higher resolution doesn't increase the detection quality, but significantly increases the consumption of resources. The optimal resolution for solving typical tasks is 1280x720
- 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
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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% of the frame size
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