AI Camera System

Give Your Crew More Eyes On The Track

Blind jumps, finish lines, start straights, and practice sections are hard to watch all day.

FlaggerAI cameras help your staff see more of the track, feed livestreams and replay clips, and support AI-assisted alerts when something may need attention.

Why Tracks Add Cameras

A camera is not just a livestream feed. In FlaggerAI, it can become part of the race-day system.

Use cameras to:

• watch key sections from the app
• save replay clips from race day
• connect video to timing and rider review
• support AI-assisted incident detection
• give riders and parents a better view of the event

Where It Goes At The Track

Start with the spots that cause the most stress:

• blind landings
• finish lines
• start straights
• practice lanes
• high-speed sections
• areas with limited flagger visibility

You do not need to cover the whole track on day one. Start with the highest-value section first.

What It Connects To

FlaggerAI camera hardware can connect with livestream viewing, replay clips, video archives, device status, marked camera zones, AI-assisted review, and rider video features.

Power And Network Requirements

Each camera setup needs outdoor power, weather protection, a solid mount, and a tested network path.

FlaggerAI can help plan placement around the track layout, available power, internet, camera angle, and the job each camera needs to do.

FAQ

Does one camera cover the whole track?

No. Camera placement should match the section you want to watch. Most tracks should start with the highest-value section first.