Footfall Analytics
Know exactly how many people walk past — or into — every site you operate. Safari AI turns your existing cameras into enterprise-grade footfall analytics with 99%+ accuracy.
Get In TouchTry Safari AI free for 90 days
Use your existing cameras to evaluate Safari AI before committing.
Book a DemoSafari AI Clients Measuring Pedestrian Counts / Footfall
Taco Bell
Taco Bell measures pedestrian traffic analytics at potential new locations to make data-driven decisions about store investments through footfall analysis.
Read Taco Bell Case Study →
7-Eleven
7-Eleven measures and optimizes real-time KPIs including pedestrian traffic analysis for property evaluation and door count conversion rates at over 10 NYC locations.
Read 7-Eleven Case Study →
#2 Outlet Operator in North America
The second-largest outlet operator in North America optimizes guest experiences across their retail destinations by measuring parking utilization, vehicle flow tracking, people counts, guest dwell times, and restroom usage analytics.
Read Outlet Operator Case Study →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.