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3D player pose
Several court cameras see a player from different sides, and the court server builds their pose in three dimensions: arms, torso and legs in every rally. No marker suits or sensors — in normal play, for all four players at once.
What it is and why
One camera sees a player flat: you cannot tell whether the torso is turned, how much the knees bend, where the racket is relative to the body. When several calibrated cameras see the player from different sides, the pose can be rebuilt in 3D — like a biomechanics lab, but on an ordinary court during a game.
3D poses are the base of technique analysis: the player's stroke is compared with a reference movement, angles are measured and you see where the stroke breaks down. The video on this page is a real 3D scene of court 4: people's poses and the ball computed from the court cameras.
What it does
3D player pose
- 3D body pose from several cameras, no sensors on the player
- All four players at once
- The basis for technique and movement analysis
- Computed on the court server in the club
An AI Padel smart court: 4 overview cameras and a court server with a GPU.
How it works
How it works
- Cameras from different sides
Overview cameras film the court from several angles at the same time.
- Joints in the frame
A neural network finds the player's joints — shoulders, elbows, wrists, hips, knees, feet — in every camera frame.
- Building 3D
Using the camera calibration the court server combines joints from several cameras into one pose in metres on court.
- All four players
Poses are built for every match player, tied to time and rally.
- Computed after the match
The heavy computation runs on the court server with a GPU — including at night when the court is free.
- Technique analysis
Poses feed technique analysis: comparison with a reference, angles and tips for coach and player.
- 360° view
On the terminal you can rotate the 3D court scene by touch and look at it from every side.
What you will see
What you will see
Player
In technique analysis — your pose and the reference movement over the video.
Coach
A student's movement in 3D: torso, arm and leg angles in the stroke.
Club
A 3D court scene with poses and the ball — for reviews and demos.
Limits, honestly
Limits, honestly
- If a partner, the net or another player hides the player, the pose in those frames is rebuilt worse or not at all.
- Several calibrated cameras and a court server with a GPU are required.
- Poses are computed after the match, not during play.
- This is a video estimate, not a lab marker-system measurement.
Who it helps
Who it helps
Players
Technique analysis from real play, not a drill on the spot.
Coaches
An objective picture of a student's movement: angles and stroke phases.
Clubs
Technology ordinary courts do not have — for the club's school and coaches.
API
API
The same data in your systems through the open API.
Questions and answers
Questions and answers
Do players need marker suits?
No, normal sportswear.
Where is it computed?
On the court server in the club; video does not leave the club for this.
How many players at once?
All four match players.
When are poses ready?
After the match; the heavy computation may run at night when the court is free.
What does it give a player?
Technique and movement analysis from real play.
How many cameras are needed?
Several overview cameras from different sides, calibrated to the court.
Why does a pose sometimes jump?
When the player is hidden, fewer cameras see them and the estimate is worse.
Is the ball shown in 3D?
Yes, the 3D court scene also shows the ball path computed by the ball cameras.
More features
Heatmap and player movement
Court cameras follow each of the four players through the whole match. After the game the app shows a heat…
Match recording
Every match on a smart court records itself — no operator, no phone on a tripod, no buttons on the cameras.…
Auto scoring
The court cameras see every rally and keep the score by padel rules: 15–30–40, golden point or advantage,…
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