Real-Time Intelligence for Every Exhibit, Every Visitor, Every Zone.
Safari AI connects to your existing cameras to deliver live visitor counts, exhibit dwell times, queue wait times, and crowd flow analytics. No construction, live in under two weeks.
Turn every camera feed into a decision your team can act on.
Guest & Door Counts
Real-time visitor traffic at entrances, galleries, and exhibits, throughout the day.
- Optimize crowd distribution before galleries overcrowd
- Trigger capacity controls and timed-entry at defined thresholds
Exhibit Dwell Time
How long visitors engage with each exhibit, broken down by time of day.
- Activate programming to re-engage visitors at underperforming exhibits
- Find which exhibit sequences drive the highest overall satisfaction
Crowd Heatmapping
Density across every gallery and outdoor area visualized on your venue map, live.
- Pinpoint bottlenecks before visitors feel friction
- Guide future exhibit, F&B, and retail investments
Visitor Journey Tracing
Full paths from entrance to exit, including gallery sequence and exit behavior.
- Discover which galleries visitors skip and redesign flow
- Improve layout with data on natural visitor movement patterns
Real-Time Occupancy
Live visitor counts across every gallery, habitat zone, and the full venue.
- Redirect visitors before a gallery hits its comfort threshold
- Trigger safety alerts at defined capacity levels
Speed of Service & Queue Wait
Wait times at ticketing, popular exhibits, café, and gift shop, updated continuously.
- Open additional lanes before queues become a complaint
- Recover visitor satisfaction the same day with staffing recommendations
Every view your operations team needs, live.
From exhibit dwell times to gallery occupancy, Safari AI surfaces the right data at the right moment — and tells your team exactly what to do.
Know which exhibits captivate visitors and which lose them in minutes.
Track how long visitors engage with each exhibit or habitat, updated continuously. When dwell times fall below your benchmarks, your team gets a specific recommendation — not an end-of-month report.
- Per-exhibit dwell time with benchmark thresholds and underperformance alerts
- AI-recommended interventions: programming changes, signage, staff positioning
- Adult vs. child dwell patterns for audience-targeted programming
- Historical trend overlay to spot seasonal and day-of-week patterns
Know when a gallery is about to tip and move visitors before it does.
Track visitor density across every gallery, habitat, and outdoor zone. When any area approaches capacity, Safari AI recommends specific interventions before density becomes a safety or satisfaction issue.
- Color-coded zone tiles from green to red based on live density
- Crowd redistribution recommendations pushed to visitor-facing signage
- Supervisor alerts with suggested rerouting at threshold breach
- Hourly occupancy trend for proactive staffing and timed-entry decisions
Catch ticketing and café queues early — and act before visitors notice.
Know exactly how long visitors are waiting at ticketing, popular exhibits, the café, and the gift shop. When a threshold is breached, your team gets a specific action to take — not just a number to look at.
- Per-location wait time with SLA thresholds and breach alerts
- AI-recommended action dispatched directly to floor supervisors
- Suggested staffing redeployments when queues spike beyond target
- Historical wait trend to anticipate same-day patterns
Understand exactly how visitors move through your venue — and where you lose them.
Trace full visitor paths from entrance to exit. When visitors consistently skip key exhibits or leave without reaching the gift shop, your team gets a specific recommendation to recapture that engagement.
- Full entry-to-exit journey map with gallery sequence and dwell at each stop
- Capture rate analysis for gift shop, café, and secondary attractions
- Bottleneck identification at corridor transitions and timed-entry points
- Adult vs. child path segmentation for targeted programming decisions
Guessing is costing you engagement, revenue, and visitor satisfaction.
Most museums, aquariums, and zoos still rely on end-of-day reports or gut feel. By the time a problem is identified, visitors have already had a poor experience — or left without visiting the gift shop.
- Galleries overcrowd undetected until they're already a safety concern
- Underperforming exhibits discovered too late to act on the same day
- Gift shop and café capture rates unknown until the register closes
- Reports arrive too late to influence same-day staffing or layout decisions
Validated against manual ground-truth counts at your deployment. If any camera view underperforms, we retune the model at no cost before you go live.
Leverage your existing cameras. No construction. Live in under two weeks.
Camera Review
We assess your existing CCTV or IP camera feeds remotely. Compatible views proceed; any incompatible ones are flagged before any commitment.
On-Prem Deployment
A compact server is installed on-site and connected to your camera streams. All video is processed locally. Nothing leaves your network.
Calibrate & Go Live
Models are validated against manual counts at your location. Once accuracy is confirmed, you're live with real-time dashboards and API access from day one.
How leading museums, aquariums & zoos use Safari AI to drive decisions.
See exactly what your cameras can do.
Evaluate Safari AI on your existing camera infrastructure for 30 days. No credit card, no commitment.
30-day free pilot · No credit card required · Uses your existing cameras · Video processed on-premise
Frequently Asked Questions
How accurate is Safari AI's footfall counting?
Safari AI delivers 99%+ accuracy on pedestrian and footfall counts across indoor and outdoor environments. Accuracy is validated against manual ground-truth counts during deployment. If a camera view underperforms, we retune the model to your specific environment before you go live, at no additional cost.
Do I need to replace my cameras to use Safari AI?
No. Safari AI works with the CCTV and IP cameras you already have. No rip-and-replace, no construction, no re-wiring. An on-premise server is installed to process video locally; your existing camera infrastructure stays exactly as it is.
How long does Safari AI deployment take?
Most customers are live within days to a few 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.
Can Safari AI handle high-density crowds?
Yes. Safari AI is built for high-density venues — theme parks, NBA and NHL arenas, outlet centers, and stadium concourses. Models handle occlusion, overlapping visitors, and non-linear movement that defeats traditional beam-break sensors. Clients include LEGOLAND, Charlotte Hornets, and Calgary Flames.
Can Safari AI integrate with Tableau, Power BI, Snowflake, or our POS?
Yes. Footfall counts and analytics are available via live dashboards, scheduled exports, and a REST API. You can pipe data into Tableau, Power BI, Snowflake, your POS, or any internal system. Most customers run Safari AI alongside existing BI and RevOps workflows.
How does Safari AI pricing work?
Pricing is per-camera and scales with the number of cameras, sites, and measurement types. Pedestrian counts, occupancy, dwell time, queue wait time, and more can be layered on the same feeds. A free 30-day pilot with no credit card required is available so you can validate accuracy and ROI before committing.