Know exactly who walks through every door.
Safari AI counts every guest and door interaction using your existing cameras at 99%+ accuracy. Know your real traffic, optimize staffing, and make decisions from live data. Trusted by Taco Bell, Charlotte Hornets, LEGOLAND, 7-Eleven, and the Calgary Flames.
Manual counts and IR beams are giving you the wrong numbers.
Most venues rely on infrared beam sensors or manual clickers at the door. These methods miss groups, miscount strollers and carts, and give you no real-time visibility into who is actually on-site.
- Beam-break sensors undercount by 15 to 40% in crowd conditions1
- Manual counts take labor hours and arrive days after the fact
- No breakdown by entrance, zone, or time-of-day
- No alerting when thresholds are crossed. You find out too late
Validated against manual ground-truth counts at deployment. If a camera view underperforms, we retune the model to your environment before you go live, at no additional cost.
Accurate guest counts from your existing cameras. 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 guest and door count data to drive decisions.
Charlotte Hornets
The Charlotte Hornets leverage their existing cameras to measure real-time KPIs and drive higher revenue without adding staff.
Read Hornets Case Study →
L'Enfant Plaza
This large shopping mall in DC measures door counts and guest flow patterns to help leasing agents and tenants identify traffic patterns for more accurate pricing.
Read L'Enfant Plaza Case Study →
Barcelona Aquarium
The Barcelona Aquarium leverages their existing cameras to measure real-time KPIs, improve speed of service, and drive higher revenue.
Read Barcelona Aquarium Case Study →Guest and door count analytics that actually works.
Benchmark customer flow across time periods to adapt faster to changing conditions.
Back pricing decisions with accurate foot traffic data.
Identify peak periods across locations and put the right staff in the right place.
Prove visitor volume to prospective tenants and fill spaces faster.
Per-Door Guest Counts
Count guests independently at every entrance and exit. Understand exactly which doors drive the most traffic and when.
Real-Time Occupancy Alerts
Set capacity thresholds per door or zone. Get instant alerts when guest counts hit limits so staff can react before issues compound.
POS and BI Integration
Push guest count data into Tableau, Power BI, Snowflake, or your POS via REST API. Safari AI fits into your existing analytics stack.
Cross-Location Benchmarking
Compare guest counts across every location in your portfolio. Identify top-performing sites and replicate what is working across your organization.
Frequently Asked Questions
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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.
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.
IR beam-break sensors are documented to miscount in high-traffic or wide-entrance conditions due to simultaneous crossings and non-human obstructions. Accuracy in crowd conditions can fall to 60 to 85%, representing a 15 to 40% undercount error. Sources: People Counting Systems — Infrared Sensors; V-Count — People Counting Technologies Guide; Milesight VS360 IR Sensor (up to 80% accuracy noted).
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