Computer Vision for Tennis

Every ball, every step, every point - tracked automatically.

SwiftTennis turns a single court-side camera into a full tracking system. It follows the ball frame by frame, maps every player movement, reads the court lines, and counts the score - so your footage tells you exactly what happened, point by point.

0Ball tracking accuracy
0Body keypoints tracked
<80msDetection latency
Live Detection Cam 01
0Ball accuracy %
0Keypoints
<80ms latency
1Camera needed
The Problem

Manual scoring and analysis waste hours after every match.

Coaches still pause footage, mark points by hand, and lose consistency between sessions. Players get delayed feedback. Broadcasters rely on expensive multi-camera rigs. SwiftTennis removes the bottleneck.

Capabilities

Six models. One continuous read of the match.

From a single video stream, SwiftTennis detects the ball, players, pose, court geometry, and score in real time.

Ball Tracking

Frame-by-frame trajectory with bounce and in/out context for every rally.

Player Tracking

Continuous identity across the court - position, speed, and coverage heatmaps.

Pose & Keypoints

29 body landmarks per player for stroke analysis and form feedback.

Court Detection

Automatic line and zone mapping so every ball event is spatially grounded.

Auto Scoring

Point, game, and set logic without a human scorer on the sideline.

Winner / Loser

Who won the point and why - forced error, unforced, winner, or ace.

Pipeline

From camera to analytics in four steps.

01

Capture

Point any stable camera at the court. Upload or stream the video.

02

Detect

Models run on ball, players, pose, and court lines in parallel.

03

Score

Events are sequenced into points, games, and match state.

04

Analyze

Dashboards, heatmaps, and reports ready minutes after the match.

Why SwiftTennis

Manual analysis vs. computer vision.

Capability Traditional SwiftTennis
Ball trajectoryManual reviewAutomatic, every frame
Player movementRough notesContinuous tracking + heatmaps
ScoringHuman scorerReal-time automatic
HardwareWearables / multi-camOne camera, no crew
Time to full reportHours of loggingMinutes after final point
Trusted on court

Built with coaches who live the problem.

“We stopped spending evenings tagging footage. The report is ready before the players leave the club.”

MK
Maria K.Academy Director

“Ball tracking accuracy is high enough that we use it for match review with juniors. No wearables to fight over.”

JR
James R.High-performance coach

“One camera and we’re producing analytics that used to need a full production team.”

AL
Alex L.Broadcast ops
Get Started

Point a camera at your next match. See what it catches.

Book a walkthrough with our team and run SwiftTennis on your own footage during the call.