BallerCam uses AI and computer vision throughout the filming and replay experience to help follow the action, keep games in frame, identify important plays, and reduce the amount of manual work required during and after a game.
AI-powered features vary by sport and filming setup, and some features require additional setup before the game.
π₯ AI-Powered Game Tracking
For supported sports, BallerCam uses AI to analyze what's happening on the field or court and help the camera follow the action.
This includes:
- Detecting court and field boundaries
- Tracking the ball and overall game action
- Automatically panning to follow play
- Adjusting zoom levels when appropriate
- Automatically adjusting camera tilt when needed
These features work together to help keep the important action visible without requiring someone to manually operate the camera throughout the game.
ποΈ Field and Court Detection
Before and during filming, BallerCam can identify the playing area for supported sports.
This helps the system understand:
- Where the field or court begins and ends
- Where gameplay is taking place
- How far the camera can safely pan
- How to keep the action framed during play
For the best results, position BallerCam so the entire playing area is clearly visible and avoid objects that block the camera's view.
π Auto-Panning
BallerCam's AI can automatically move the camera as the action moves across the playing area.
Instead of having someone manually control the camera, BallerCam follows the overall flow of the game and adjusts the camera position accordingly.
Auto-panning availability depends on the sport and filming setup.
For the best tracking performance:
- Keep the full playing area visible.
- Avoid blocked sightlines.
- Use a stable tripod.
- Position the camera at the recommended height and location.
- Make sure players and important areas of play remain within the camera's view.
π Automatic Zoom and Tilt
BallerCam can also adjust the camera view while tracking the game.
Depending on the sport and situation, the system may:
- Zoom in or out to keep the action appropriately framed
- Adjust the camera tilt to maintain a useful view of play
Automatic zoom adjustments are especially useful in sports such as Soccer, where the action can move across a large playing area.
π Basketball Scoreboard Detection
For Basketball, BallerCam can automatically read information from the physical scoreboard at the venue using the camera feed.
The detected information can include:
- Home score
- Away score
- Period
- Game clock
BallerCam can then display the detected score and clock on the livestream overlay, reducing the need to enter that information manually.
How Scoreboard Detection Works
Before the game, position the Scoreboard Detection area so it captures the relevant information from the physical scoreboard.
The detection area should include:
- Home score
- Away score
- Period
- Clock
Avoid including the shot clock, since it can interfere with detection.
Set up Scoreboard Detection before the game begins whenever possible.
Scoreboard Detection Tips
During the game:
- Confirm the detected score updates after baskets.
- Check that free throws update correctly.
- Verify the period at quarter transitions.
- Watch for digit misreads, particularly similar-looking numbers such as 6 and 8 or 1 and 7.
- Manually correct the score if the detected value becomes inaccurate.
- If the clock cannot be detected reliably, clock detection can be disabled and the clock entered manually.
π Volleyball Scoreboard Detection
BallerCam also supports Scoreboard Detection for Volleyball.
Depending on the scoreboard, BallerCam can identify information such as:
- Team scores
- Set or game number
- Team identifiers
- Match score
- Other scoreboard information when available
For reliable detection, keep the scoreboard clearly visible and avoid glare, reflections, obstructions, or extreme viewing angles.
At set transitions, confirm that the set count and point score are detected correctly.
π AI Plays for Basketball
AI Plays uses AI to analyze a recorded Basketball game and identify key shot events.
BallerCam can detect:
- Made shots
- Missed shots
- Layups
- Dunks
Detected events are connected to the corresponding video clips, making it easier to find important plays without searching through the entire replay.
AI Plays Shot Detection
After processing, AI Plays organizes detected Basketball events into an interactive replay experience.
You can browse detected plays and narrow the results using options such as:
- Player
- Play type
- Half
Selecting a detected play takes you directly to the corresponding video clip.
π AI Plays Shot Chart
AI Plays also includes a Shot Chart that displays detected made and missed shots on an interactive Basketball court.
You can use the available filters and select a shot to jump directly to its video clip.
This can help coaches, players, and families review:
- Made shots
- Missed shots
- Shot locations
- Individual plays
- Key game moments
π¬ AI-Detected Clips
AI Plays can reduce the time required to find specific moments in a Basketball replay.
Detected clips can be useful for:
Fast Replay
Jump directly to a detected play instead of manually scrubbing through the entire game.
Sharing
Find makes, layups, dunks, and other moments that may be useful for highlights and sharing.
Review
Use both made and missed shots when reviewing:
- Shot selection
- Spacing
- Decision-making
- Practice opportunities
π€ Does AI Automatically Identify Every Player?
Not yet.
Player identification should not be assumed to be fully automatic.
If an AI-detected Basketball play doesn't have a team or player assigned, you may need to manually select:
- The correct team
- The player's jersey number
Jersey-number recognition and broader automatic play tagging are still in development.
β οΈ AI Plays Is Not an Official Box Score
AI Plays is designed to make important moments easier to find, but it should not be treated as an official or complete statistical record of the game.
AI may:
- Miss a shot
- Misclassify an event
- Detect a play before all processing has finished
- Require manual team or player attribution
If accurate statistics are important, continue using BallerCam's live scoring and stat-tracking tools.
π€ Processing Matters
Some AI features depend on the game's HD recording being uploaded and processed.
Before reviewing AI-generated results:
- Allow the HD upload to complete.
- Wait for post-game processing to finish.
- Confirm team and player information before sharing detected plays.
A missing AI Play does not necessarily mean the system failed to detect it; processing may still be underway.
π§ Features Still in Development
BallerCam continues to expand its AI capabilities.
Features described as being developed include:
- Jersey-number recognition
- Broader automatic tagging of certain play types
- Soccer kickoff detection
These capabilities may change as additional AI features are released.
π‘ Best Practices for Better AI Results
To help BallerCam's AI perform consistently:
- Set up BallerCam so the full playing area is visible.
- Follow the recommended camera position and height for your sport.
- Avoid spectators, equipment, or structures blocking the camera.
- Minimize glare and difficult lighting conditions.
- Use a stable tripod.
- Keep scoreboards clearly visible when using Scoreboard Detection.
- Allow HD upload and post-game processing to complete before reviewing AI Plays.
- Review detected events before relying on them for statistics or sharing.
- Use live scoring from a secondary device when accurate game statistics are important.
β Key Reminders
- BallerCam uses AI to help detect the playing area, track game action, pan, zoom, and adjust the camera view.
- AI-powered features vary by sport and setup.
- Basketball Scoreboard Detection is available now and can read the physical scoreboard's score and clock for the livestream overlay.
- Volleyball also supports Scoreboard Detection.
- AI Plays for Basketball can detect made and missed shots, layups, and dunks and connect them to video clips.
- AI Plays includes an interactive Shot Chart.
- AI Plays is not an official or complete box score and may miss or misclassify events.
- Player identification is not fully automatic; manual team or player attribution may still be needed.
- Jersey-number recognition and broader automatic tagging remain in development.
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