Lighting Conditions
Lighting conditions describe how evenly and brightly the subject is illuminated. This means poor lighting is one of the top causes of low-quality video and degraded pose estimation.
Camera sensors need light to capture motion without blur or noise. Backlit subjects (standing in front of a window or bright sky) appear as silhouettes and make landmark detection unreliable. Dim indoor environments introduce noise that breaks tracking mid-swing. The ideal is consistent, even, natural light with the light source behind the camera rather than behind the athlete. SwingVantage flags backlit and low-light conditions on its own in the quality gate and explains the specific problem so it is easy to correct.
Record outdoors with the sun behind the camera, or indoors under bright, even overhead lighting. Avoid recording with a window or bright light source behind you.
Even distribution of light across the whole body matters more than overall brightness. Side-lit subjects create half-shadow half-highlight conditions that confuse landmark detection on one side of the body.
Example
Recording in front of a bright window produces a dark, underexposed subject that scores poorly on lighting. This means moving outdoors with the sun behind the camera fixes it.
How it shows up on video
Backlighting makes the subject appear as a silhouette. This means shoulder and hip landmarks disappear or drift to the edge of the body outline rather than tracking accurately.
Common mistakes
- Standing in front of a window — the single most common lighting mistake and one of the easiest to fix.
- Recording indoors with a single overhead spotlight that creates harsh shadows on the face and joints.
- Assuming a bright sunny day is always good — direct sun from the side creates extreme shadow contrast that hurts tracking.
- Not checking the video quality score after moving to a new location.
In SwingVantage Motion Lab
In Motion Lab, poor lighting produces a skeleton with joints shown as low-confidence (dimmed or dashed). This means these joints are excluded from angle calculations or marked as estimated. This reduces the usefulness of the 3D view.
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. This means 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. This means the single biggest controllable factor in analysis accuracy.
- Phone Video LimitationsPhone video limitations are the practical constraints of recording on a smartphone. This means lens distortion, stabilization artifacts, variable frame rate, and compressed color depth. This means that can reduce analysis accuracy relative to purpose-built cameras.
- Pose EstimationPose estimation is the computer-vision process that detects the positions of major body joints (keypoints) in each video frame. This produces the skeleton that SwingVantage uses to measure angles and movement patterns.
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