Managing Crowds From the Parking Lot to the Mountaintop
Anakeesta used Safari AI to measure ride dispatch, live wait times, park occupancy and arriving vehicle traffic from its existing cameras.
Measured from existing parking, queue and ride cameras
Crowds built up on the mountain before anyone could see them coming.
On busy days, guests arrived in waves from a busy road into limited parking, then spread across rides and walkways at the top. Without live numbers, the team learned about a crowded section or a long line when guests started to complain.
- There was no early signal of arrival surges from the road and the lots
- Crowded sections and long lines were spotted only by walking the park
- Rides launched with empty seats while lines grew
From the road to the rides, one live view.
Connected to parking, queue and ride cameras via an on-premise server
Existing parking, queue and ride cameras fed a lightweight on-premise server Safari AI deployed, so video was processed on site.
Measured arrivals, occupancy and every dispatch
Computer vision counted vehicles arriving and turning in, guests in each park section and queue, and seats filled on every launch.
Sent live alerts when thresholds were crossed
Dashboards showed wait times, section occupancy and arrivals in real time, with alerts when a line, a section or the parking neared its limit.
Note: Illustrative data
Shorter waits, fuller rides, more time to prepare.
Live waits on the most popular rides triggered alerts, so staff redirect guests to quieter areas before lines peak.
Every section's occupancy was measured with real-time alerts, so the team spreads guests out before an area feels crowded.
Vehicle counts on the approach and in the lots gave the team early notice of a crowd, and more time to prepare.
Action Center: From Insight to Action.
Measurements like these feed Safari AI's Action Center, which turns a growing line, a crowded section or an arrival surge into a specific staff action.
- Real-time recommendations to improve KPIs via email, SMS, robocall, mobile app, Power BI, or API.
- Recommendations grounded in your own written SOPs, not generic best practices.
See this on your own attractions.
Anakeesta tracked rides, park sections and arriving traffic from cameras already on site. We'll walk through which rides, areas and lots are the best fit for a pilot on your cameras.
