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Documentation for Intellect 4.11.0-4.11.3. Documentation for other versions of Intellect is available too.
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For video analytics to work correctly, the following requirements must be met:
- Camera requirements:
- Resolution:
- at least 640x480 pixels for smart video detection tools.
- at leasr 320x240 pixels for other video detection tools.
- Framerate:
- at least 6 frames per second for smart video detection tools.
- at least 1 frame per second for other video detection tools.
- Video analytics works with both black-and-white and color images.
- Camera shaking must not cause image shifting of more than 1% of the frame size.
- Resolution:
- Lighting requirements:
- Moderate lighting. Lighting that is too little (night) or too much (bright sunlight) may impact the quality of video analytics.
- No major fluctuations in lighting levels.
- Scene and camera angle requirements:
- Moving objects must be visually separable from each other in the video.
- The background must be primarily static and not undergo sudden changes.
- Minimal obscuration of moving objects by static objects (columns, trees, etc.).
- Reflective surfaces and harsh shadows from moving objects can affect the quality of analytics.
- Long single-color objects may not be tracked properly.
- Object requirements:
- An object must be visible on the image.
- There is no noise on the video image and there are no artifacts caused by the compression algorithm.
- The width and height of objects in the video should not be less than 1% of the frame size (at resolutions not less than 1920x1080 pixels) or 15 pixels (at lower resolutions).
- The width and height of objects in the video should not be more than 75% of the frame size.
- It is recommended that the linear measurements of objects in the frame do not exceed 75% of the frame size.
- The speed of objects in the frame must be at least 1 pixel per second.
The object is to be visible at not less than 8 frames.
Within two adjacent frames the object cannot move in the movement direction for the distance that is longer than its size.
- Quantity of simultaneously tracked objects on a frame – not more than 25.
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