See exactly how guests move through your space, in real time.
Safari AI turns your existing cameras into a live guest path analytics system. Trace journeys from entrance to exit, measure dwell time by zone, and optimize layouts to improve flow and guest satisfaction.
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Without journey data, visitor flow decisions are based on observation and assumption.
Most venues have no systematic way to trace how individual guests move through their space. Layout decisions, staffing placements, and experience designs are built on anecdote rather than data, leading to persistent bottlenecks, underutilized zones, and missed opportunities to extend visit duration.
- —No visibility into which areas guests skip, rush through, or abandon before engaging
- —Bottlenecks are only discovered after guests complain or staff notice a physical backup
- —Dwell time data from ticket systems shows entry but never how long guests spent in each zone
- —Layout and experience redesigns rely on anecdotal feedback rather than actual path data
Validated against ground-truth manual observation 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 observation. Once accuracy is approved, you're live with real-time dashboards and API access from day one.
How leading operators use Safari AI guest journey data to drive decisions.
Everything guest journey analytics should do, and actually does.
Trace individual guest paths from entrance to exit across every zone.
Measure how long guests spend in each area to optimize attraction design.
Reveal bottlenecks and navigation gaps to improve layout efficiency.
Understand visitor preferences to design better experiences and increase retention.
Journey Analytics
Tracks individual guest paths from entrance to exit, enabling businesses to understand exactly how visitors navigate their space, which areas draw attention, and where experience duration can be extended.
Dwell Time Analysis
Precise zone-level dwell measurements help operations teams identify peak engagement periods and enhance attraction elements based on actual visitor behavior, not survey responses or staff observations.
Flow Optimization
Complete journey data reveals how visitors navigate spaces, enabling businesses to optimize layouts, remove bottlenecks, and improve circulation efficiency without relying on anecdote or periodic observation.
Behavioral Insights
Individual tracking provides rich insights into visitor preferences and movement patterns, helping businesses design better experiences, increase guest retention rates, and maximize revenue per visit.
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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.