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Camera:

• resolutionResolution: 720 х 576 720x576 (CIF4) or 360 х 288 360x288 (CIF1) pixel resolution. Using pixel resolutions higher than CIF4 do not lead to higher recognition accuracy;.
• frames Frames per second: 25;.
• colorColor: color camera is obligatory;.
• no No camera jitter is allowed.

Illumination:

• best Best recognition results are achieved under moderate illumination. If the scene is under- or over-illuminated, the recognition accuracy may drop down;.
• sharp Sharp changes in illumination may lead to improper operation of analytics.

Scene and viewing angle:

• vertically Vertically downward position is the best for the purpose.  The closer to vertical, the more accurate counting;.
• camera Camera FOV dimensions: min. 2 x 2m2x2 m, optimal 4 x 4m;4x4 m.
• The the background must be primarily static and not undergo sudden changes;.
• the The counting area must not contain any moving objects except for humans;.
• reflective Reflective surfaces and harsh shadows from moving objects can affect the quality of analytics;.
• leafageLeafage, TV screens or any periodic object movement in the background may cause analytics glitches;.
• if If possible, avoid obstruction of the humans by static objects such as pillars, trees, etc.

Images of objects within the scene:

• image Image quality: the image must be clear and sharp with no visible compression artifacts;.
• the The allowable size of a person is described in the Requirements for the person size in the frame.

Other requirements:

• the The visitors must not move in a continuous flow; smaller groups of humans are counted correctly.