See exactly where your guests go and where they don't.
Safari AI turns your existing cameras into a live traffic visualization system. Identify high and low-traffic zones, test layout changes, and optimize space utilization across every area of your venue.
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Without traffic visualization, space optimization relies on guesswork.
Most venues manage congestion and layout based on observation and complaint rather than data. High-traffic zones go uncorrected until they cause incidents, while underused areas represent lost revenue opportunity that never gets addressed. The result is persistent congestion, poor product placement, and layouts that underperform their potential.
- —No visibility into which zones are congested or underused until guests complain or incidents occur
- —Layout and placement decisions are made based on intuition rather than traffic data
- —A/B testing of physical changes has no measurement framework to evaluate what actually worked
- —Revenue opportunities in low-traffic areas go unaddressed because operators don't know they exist
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 heatmapping to drive decisions.
Calgary Flames
The Calgary Flames measure and optimize real-time KPIs including guest entrance throughput, concessions queue analytics, and pedestrian footfall heatmapping throughout the arena.
Read Calgary Flames Case Study Stadiums, Arenas & Venues
Barcelona Aquarium
The Barcelona Aquarium leverages their existing cameras to measure various real-time KPIs, improve speed of service, and drive higher revenue across their visitor experience.
Read Barcelona Aquarium Case Study Museums, Aquariums & ZoosEverything heatmapping analytics should do, and actually does.
Visual heat maps showing high and low-traffic zones in real time.
A/B test physical layouts with before-and-after traffic data.
Test product placement and redirect customers to higher revenue areas.
Traffic patterns that reveal bottlenecks and reduce wait times long-term.
Traffic Visualization
Creates visual heat maps that identify high and low-traffic zones in real time, enabling businesses to redirect visitors, reduce congestion, and act on spatial data before problems escalate.
Layout Testing
Advanced heatmapping data supports A/B testing of physical layouts and marketing tactics, giving teams a measurement framework to evaluate what changes actually improved space usage and revenue.
Strategic Placement
Real-time analytics help businesses test product placement strategies and redirect customers to higher revenue areas, enabling data-driven decisions about where to position offerings for maximum impact.
Operational Improvements
Comprehensive traffic insights enable long-term improvements by revealing patterns that help reduce wait times and identify bottlenecks, giving operations teams a continuous feedback loop for space optimization.
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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.