Video Quality Gate
The Video Quality Gate is the automatic pre-analysis check that evaluates a submitted clip's usability and blocks or warns before processing video that is too low-quality to produce reliable analysis.
The gate runs on-device before any upload or analysis begins. It checks frame rate, lighting, subject visibility, camera angle suitability, and clip length. If the gate determines the video is likely to produce a very low-confidence result, it explains the specific problem in plain English and suggests a fix — rather than letting the analysis run and returning an unhelpfully vague result. The gate is an honesty mechanism: it sets a minimum quality bar and communicates it clearly.
Example
A video recorded at 24 fps in dim indoor light triggers the quality gate with: 'Low frame rate and poor lighting detected — switch to 60 fps and move to a brighter location for reliable analysis.'
Why it matters
Processing a bad video wastes time and can produce confident-looking but meaningless results. The gate catches it early.
Related terms
- Video Quality ScoreA Video Quality Score is a pre-analysis rating (0–100) that tells you how usable a submitted clip is before pose estimation begins — catching bad angles, motion blur, or poor lighting early.
- Camera Angle QualityCamera angle quality describes how well the recording position allows the system to see the relevant joints and movement plane — the single biggest controllable factor in analysis accuracy.
- Frame RateFrame rate (frames per second, fps) is how many individual images your camera captures each second — higher frame rates freeze fast motion better and produce more reliable pose tracking.
- Lighting ConditionsLighting conditions describe how evenly and brightly the subject is illuminated — poor lighting is one of the top causes of low-quality video and degraded pose estimation.
- Phone Video LimitationsPhone video limitations are the practical constraints of recording on a smartphone — lens distortion, stabilization artifacts, variable frame rate, and compressed color depth — that can reduce analysis accuracy relative to purpose-built cameras.
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