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Camera

• Resolution: 720 х 576 720х576 (CIF4), 360 х 288 360х288 (CIF1) is also allowed to use. Increasing the resolution above CIF4 does not doesn't improve the operating quality performance of the recognition algorithm.
• FPS is at least 6Frames per second: 6 or more.
• Color: color or greyscale.analytics works with both gray and color images
• No camera jitter is allowed.shake

Lighting

• The best performance of the detection tool is

Illumination

• Best recognition results are achieved under moderate illumination. If the scene is under- or over-illuminated, the recognition accuracy may drop down.lighting. In conditions of insufficient (night) or excessive (light-striking) lighting, the algorithm performance can decrease
• Abrupt changes in lighting can lead to short-term incorrect operation of analyticsSharp changes in illumination may lead to improper operation of analytics.

Scene and camera angle

• Vertically downward The best position of is the camera is the best for the purpose. The closer to verticallooking down at the scene. The better this requirement is met, the more accurate the estimation.estimate is
• Dimensions of the camera FOVCamera FOV dimensions: minimum 3x3 m (6x6 humanspeople), optimal 4x4 m (8x8 humanspeople), maximum 8x8 m (16x16 humanspeople).
• The background should be primarily static and should not undergo sudden changes.is mostly static and doesn’t change abruptly
• Analytics can work incorrectly on reflective surfaces, and if there are sharp Reflective surfaces and harsh shadows from moving objects can affect the quality of analytics.
• Analytics may not can work correctly incorrectly if there are periodic movements of the background objects in the camera FOV (leafagetrees, TV screens, etc.).

Images of objects

• Image quality: the image should be clear, with no visible compression artifacts.
• Dimensions of a human in scene: bounding rectangle has to occupy from 0,25% to 10% of the frame area.is on, and so on)