Precision AIOne camera.
Every player.
Every frame.
Precision AI builds the computer vision that turns single-camera footage of soccer, basketball and ice hockey into tracking data, analytics and automated production. We are the specialist engineering team behind sports camera, streaming and data companies.
Three sports.
Three ways to break a vision model.
We specialise in the three where a single camera has the most to give, and the most to get wrong.
Soccer
Far-side players 20 pixels tall, long absences from view, and a ball that spends most of the game hidden at someone's feet. Full-match identity is the hard part.
Basketball
Ten players in constant contact under the basket, possession changing every few seconds, and a ball that lives in the air. Shots, makes and misses read straight from video.
Ice hockey
A puck a few pixels wide at 150 km/h, boards and glass in the way, and line changes every 45 seconds. Tracking that survives all three.
The hard perception layer, for footage that was never meant for analysis
Amateur grounds, one wide-angle camera, floodlights, a phone on a tripod behind the bench. That is where off-the-shelf models stop working, and where we start.
Player tracking and identity
Every player followed for the full game in real-world metres, with identities held through pile-ups, exits from view and substitutions.
Field registration
A camera model for every frame, including fisheye and stitched panoramas, on surfaces with worn or overlapping markings.
Ball and puck trajectory
A 12-pixel ball or a 4-pixel puck found among socks, sticks and line markings, then resolved into one physically consistent path.
Auto-follow virtual camera
A broadcast-style view cut from a static wide shot, with a camera path that pans like a human operator.
Events and analytics
Possession, passes and shots, plus distance, speed, team shape and pass networks, each reported with its quality figure.
Edge and real time
Models exported and tuned for the chip in your camera, with accuracy, latency and size measured together.
One video file to a game state you can build on
Video
Timebase, shot cuts, view type.
Calibrate and detect
Camera model, players, officials, ball.
Track and identify
Tracklets, global links, team, shirt number.
Game state
Every player and the ball, in metres, per frame.
Events, analytics, video
Data files, a match report, radar and auto-follow renders.
Three ways to work with us
Each one is bounded, measured against agreed metrics, and ends with something your own engineers can run.
Pipeline audit
2 to 3 weeks · fixed fee- You provide
- Sample footage and your current tracking or auto-production output.
- You get
- Your pipeline benchmarked stage by stage, failure cases on video, and a ranked fix list.
Build sprint
6 to 12 weeks · fixed scope- You provide
- One problem that matters: identity switches, ball loss, calibration, camera jitter.
- You get
- A working module integrated in your stack, with before and after numbers on your footage.
Retainer
ongoing · days per month- You provide
- A roadmap and a team that needs senior computer vision depth.
- You get
- A principal-level vision lead for design reviews, model decisions and hands-on work.
See the output before you talk to us
Each demo is cut straight from the pipeline, with the measured result next to it.
tracking to radar
Tracking to radar
Annotated game footage beside a top-down radar of every player and the ball.
auto-follow camera
Auto-follow camera
Raw wide-angle footage beside the virtual camera render.
hard cases
Hard cases
Floodlights, overlapping markings and a low camera, before and after.
Every claim comes with a number
We score the pipeline on public benchmarks and on our own hand-labelled clips from difficult grounds. Every change is tested against both before it ships.
- Game stateGS-HOTA on SoccerNet Game State Reconstruction
- TrackingHOTA, association accuracy and IDF1 on SoccerNet Tracking and SportsMOT
- CalibrationReprojection error in metres and share of in-play frames calibrated
- Ball and puckShare of in-play time with a position
- Auto-followShare of in-play frames with the ball inside the crop
A specialist computer vision firm
Precision AI Technologies is a computer vision engineering company based in Hyderabad, India. We do one thing: make single-camera sports video understandable to software.
Our engineers have spent more than a decade building computer vision systems in production, including player tracking and automated camera production for live sports streaming.
We work with camera makers, streaming platforms, data providers, leagues and clubs in soccer, basketball and ice hockey.
Send ten minutes of footage. Get the output back.
Tell us the camera, the sport and what is going wrong. You get tracking data and a short annotated clip in return, with no commitment.