Maximize flow at every entry point, in real time.
Safari AI turns your existing cameras into a live throughput analytics system. Measure flow at every entry point, identify bottlenecks before they compound, and optimize capacity utilization across your entire operation.
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Without throughput data, bottlenecks are discovered too late to act on.
Most venues learn about flow problems through guest complaints or staff observations, both of which arrive well after the damage is done. Capacity is being left on the table and wait times are longer than they need to be because no one has real-time visibility into where flow is breaking down.
- —Entry bottlenecks at peak times go undetected until queues back up and guests abandon
- —Staff deployment at entry points is based on schedule rather than live throughput data
- —No timestamped throughput history makes it impossible to benchmark improvements after changes
- —Capacity utilization targets are set without knowing the actual maximum achievable rate
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 throughput data to drive decisions.
Calgary Flames
The Calgary Flames measure and optimize real-time KPIs including entrance throughput, queue analytics, and footfall heatmapping throughout the arena.
Read Calgary Flames Case Study Stadiums, Arenas & Venues
Herschend Family Entertainment
Herschend Family Entertainment optimizes guest experiences by measuring dispatch performance, throughput, and predicted wait times 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 Attractions
Merlin Entertainments
Merlin Entertainments optimizes guest flow across their parks using camera-driven insights including ride dispatch frequency, occupancy, and visitor throughput.
Read Merlin Case Study Theme Parks & Cultural AttractionsEverything throughput analytics should do, and actually does.
Measure throughput at key points to find constraints before they compound.
Deploy staff and resources based on live throughput data during peak periods.
Time-stamped tracking to maximize capacity and ensure optimal pre-launch flow.
Shorter wait times and higher revenue by optimizing flow and eliminating constraints.
Bottleneck Identification
Measures throughput at key operational points to identify bottlenecks that impact guest satisfaction and limit venue capacity, giving operations teams the data to intervene before queues build and guests abandon.
Resource Optimization
Real-time analytics help businesses evaluate where to add staff, open lanes, or redirect guests based on live performance data during peak periods, replacing schedule-based staffing with data-driven deployment.
Capacity Utilization
Time-stamped throughput tracking enables operations teams to maximize capacity utilization and ensure optimal flow before launching services, with a historical record to benchmark against on future events.
Operational Efficiency
Comprehensive throughput measurements help businesses achieve shorter wait times and higher revenue by optimizing flow and eliminating constraints at every point in the guest or customer journey.
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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.