Capacity Traffic Light

Sell tickets based on how fast guests are actually moving.

Your existing cameras become a live capacity signal that tells the box office when to sell more, pause, or stop.

Safari AI: Ticket Release Signal ● LIVE
Recommendation
Sell more tickets
Guests are clearing galleries ahead of pace — 68 spots free up before 4:00 PM.
Real time occupancy
740
Avg guest dwell
2h 24m
Projected occupancy
712
Tickets released
48
3:00–4:00 PM release window · updates every 60 seconds

Trusted by operators across North America & Europe
SUMMIT One Vanderbilt DOE Goodwill Brightline Stanford L'Enfant Calgary Flames StorageMart Herschend Anakeesta Charlotte Hornets Barcelona Aquarium Yum Brands Merlin Entertainments
The Problem

Ticket capacity is set by a static number, not by how the building is actually flowing.

  • Static capacity: allotments never adjust to real flow.
  • Unsold headroom: freed-up spots go unsold, unseen.
  • No feedback loop: crowding compounds all afternoon.
Aquarium hall with ceiling-mounted cameras
Reef Hall
Sell more tickets
68 spots free up by 4:00 PM
The Solution

Safari AI uses metrics from Vision AI to recommend when to release timed entry tickets

Inputs
Camera Feeds
Measures
Vision AI
Real Time Occupancy
Guest Dwell Time
Throughput
Guest Flow
Calculates
Projected Occupancy
Suggests
Stop selling tickets
Pause selling tickets
Sell more tickets
What We Measure

Vision AI turns the cameras you already have into a measurement tool.

Crowded museum gallery with ceiling-mounted cameras
West Gallery
Stop selling tickets
Exhibit is over capacity
Occupancy
Live headcount for every zone, not just the front door.
Dwell Time
How long guests stay — and when space frees up.
Throughput
Measure how many people go through entries and exits.
Guest Flow
Identify which places constrain the whole property.
How It Works

Your existing cameras. Live in 2 weeks.

Day 1 01
Camera review
Send your camera layout. We confirm coverage and flag gaps.
Week 1 02
On-prem install
A server inside your network connects to existing feeds.
Weeks 1–2 03
Calibrate & validate
Models tuned and validated against manual counts.
Live 04
Go live
Recommendations reach the box office via dashboards, alerts, or API.
Option A — Recommend
We send the recommendation to your team
Sell more, pause, or stop — delivered through live dashboards and threshold alerts. Your box office stays in control of every release.
Option B — Connect
We connect directly to your POS via API
Our REST API feeds occupancy, dwell time, and projected capacity straight into your ticketing or POS system, so inventory adjusts without manual steps.
Who It’s For

Any venue where one space sets the pace for the whole property.

Museums
The travelling exhibition that is the first to fill.
Aquariums
Guests stall at the big tanks and back up the route.
Zoos
Feedings and demonstrations pull many guests into one habitat.
Attractions
Indoor shows gate throughput before the front gate does.

Frequently Asked Questions

How accurate is Safari AI’s counting?

Safari AI delivers 99%+ accuracy on guest counts across indoor and outdoor environments. Accuracy is validated against manual ground-truth counts during deployment.

Does this control our ticketing system directly?

The traffic light produces a recommendation, not a forced action. Occupancy, dwell time, and projected capacity are surfaced through live dashboards, real-time threshold alerts, and a REST API, so your team can either act on the signal manually or wire it into the systems that manage inventory.

Do I need to install new cameras?

We prioritize the CCTV and IP cameras you already have, and POCs launch without any new installations. For larger rollouts, clients often install cameras that give specific views of their operations.

How long does deployment take?

Most customers are live within 2 weeks. After a camera compatibility review, we install the on-prem server, connect camera feeds, calibrate the models, and validate accuracy against your baselines before going live. It typically takes just 30 minutes of your IT team’s time — Safari AI engineers handle the configuration.

How does Safari AI handle crowded galleries and exhibit halls?

Safari AI is built for high-density venues — museums, aquariums, zoos, theme parks, and stadium concourses. Models handle occlusion, overlapping visitors, and non-linear movement that defeats traditional beam-break sensors.

Get Started

Turn your capacity into a live signal.

Send your camera layout — we’ll show what occupancy, dwell time, and hour-by-hour release look like on your property.

  • Venue playbooks from museums, aquariums, and zoos
  • Revenue estimate on your existing cameras
  • Free 30-day pilot · SOC 2 · no procurement headaches
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