Give every guest an accurate wait time, in real time.
Safari AI turns your existing cameras into a live queue analytics system. Track actual wait times, predict queue length, and provide dynamically updated ETAs that adjust as conditions change throughout the day.
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Without accurate wait time data, guests plan around bad numbers and trust erodes.
Most parks post static wait times based on guesses or outdated sensor data. When the posted time doesn't match reality, guests lose confidence and satisfaction scores drop. The result is frustrated guests, poor queue decision-making, and no ability to intervene before waits spiral.
- —Posted wait times are based on estimates rather than real-time queue measurements
- —No predictive capability means operations teams can't staff up before a peak arrives
- —Guests make attraction choices based on inaccurate ETAs, leading to poor experience distribution across the park
- —No historical actual vs. predicted data makes it impossible to improve forecast accuracy over time
Validated against ground-truth manual counts at deployment. If a camera view underperforms, we retune before you go live at no cost.
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; 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. Once accuracy is approved, you're live with real-time dashboards and API access from day one.
How leading operators use Safari AI queue wait time data to drive decisions.
Anakeesta
Anakeesta leverages existing cameras to measure real-time KPIs including dispatch optimization, real-time occupancy monitoring, predicted wait times, and vehicle traffic analysis.
Read Anakeesta Case Study Theme Parks & Cultural Attractions
Herschend Family Entertainment
Herschend optimizes guest experiences by measuring dispatch performance, throughput, and predicted wait time reporting across their portfolio of parks.
Read Herschend Case Study Theme Parks & Cultural Attractions
Global Theme Park Operator
A leading theme park operator enhances guest experiences by measuring critical operational metrics including predicted queue wait time, ride dispatch performance, throughput, and merge ratio optimization.
Read Park Operator Case Study Theme Parks & Cultural AttractionsEverything queue wait time analytics should do, and actually does.
Track real wait times guests experience to build accurate historical records.
Live predictions per attraction to enable proactive queue management.
Continuously updated arrival time estimates that adjust as conditions change.
Actual Wait Time
Tracks the actual wait times experienced by guests at each attraction to provide accurate historical data, enabling operations teams to improve future predictions and benchmark performance across days and seasons.
Predicted Wait Time
Provides live wait time predictions for each attraction based on current queue length, dispatch rate, and historical patterns, enabling businesses to mitigate longer queues through proactive staffing and operations decisions.
Dynamic ETA
Continuously updates estimated arrival times for guests in queue, adjusting predictions in real time as conditions change, so posted wait times stay accurate and guests can make better decisions about where to go next.
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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, and our computer vision models are trained on enterprise-scale datasets from theme parks, stadiums, retail destinations, and QSRs. If a camera view underperforms, we tune the model to your specific environment before you go live.
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No. Safari AI works with the CCTV and IP cameras you already have — no camera rip-and-replace, no construction, no re-wiring. Deployment requires an on-premise server to process the video feeds locally at your site, which we spec and configure as part of onboarding. Your existing camera infrastructure stays exactly as it is.
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Most customers are live within days to a few weeks, depending on server provisioning and site access. After an initial camera review to confirm compatibility, we install the on-prem server, connect your existing camera feeds, calibrate the models, and validate accuracy against your baselines.
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Safari AI is built for high-density venues — we measure crowd counts and pedestrian flow at theme parks, NHL and NBA arenas, outlet centers, and stadium concourses. Our models handle occlusion, overlapping visitors, and non-linear movement patterns that break traditional sensor-based or beam-break counting systems. Reference clients include LEGOLAND, the Charlotte Hornets, and the Calgary Flames.
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Yes. Counts and analytics are available through live dashboards, scheduled exports, and REST APIs, which means you can pipe footfall data into Tableau, Power BI, Snowflake, your POS, or any internal system. Most enterprise customers run Safari AI alongside existing BI and RevOps workflows rather than as a standalone dashboard.
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Pricing is per-camera and scales based on the number of cameras, sites, and measurements you need — pedestrian counts, occupancy, dwell time, queue wait, and more can be layered on the same feeds. We offer a free 90-day pilot using your existing cameras with no credit card required, so you can validate accuracy and ROI before committing. Contact us for a tailored quote.
Frequently Asked Questions
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.