24/7 Pedestrian Counts From Your Existing Camera Infrastructure
Replace expensive manual counts with continuous, automated pedestrian volume data. Classify pedestrians, vehicles, and bicycles simultaneously — deployed on existing infrastructure in days.
Continuous multimodal counting, automated
No manual counters. No temporary studies. Connect your cameras and get permanent pedestrian volume data across every entrance, pathway, and zone on your property.
Continuous Counts + Historical Baselines
Get 24/7 pedestrian volume data — not a 2-day snapshot. Build permanent baselines, track seasonal trends, and compare any time period against historical norms automatically.
Multimodal Classification
Simultaneously detect and classify pedestrians, vehicles, and bicycles with separate directional counting for each mode. Understand exactly how guests, visitors, and vehicles move through your property.
Dashboard + API + Data Export
Custom dashboards built by the Safari AI team for your specific operations. Full REST API for integration with your existing systems. All data exportable by time interval, direction, and classification mode.
Trusted by venues, operators, and property teams
From theme parks to national property portfolios, Safari AI delivers the pedestrian data that drives operational and investment decisions.
#2 Outlet Operator in North America
Deployed Safari AI across a national portfolio to measure pedestrian volumes, vehicle flow, parking utilization, and dwell patterns — giving operations teams multimodal traffic visibility for guest experience optimization and property management across dozens of destinations.
Taco Bell
Uses Safari AI to quantify pedestrian and vehicle volume at potential new locations — replacing expensive manual traffic studies with continuous camera-based counts to validate site selection decisions before signing leases.
Brightline
Leverages Safari AI to monitor passenger volumes and pedestrian flow across station zones — providing continuous foot traffic data for operations planning, staffing decisions, and guest experience optimization across their properties.
From entrance counts to property-wide intelligence
Pedestrian volume data is the foundation. What you build on top of it — operational decisions, guest experience improvements, investment justifications — is where the value lives.
Pedestrian Volume Tracking
Get continuous pedestrian counts at every entrance, pathway, and zone across your property. Replace intermittent manual counts with permanent 24/7 automated data that shows you exactly how guests move through your space.
Multimodal Classification
Simultaneously count and classify pedestrians, vehicles, and bicycles with separate directional tracking. Know how many guests arrive by car vs. on foot, and track vehicle flow through parking areas and drop-off zones.
Site Evaluation & Investment Validation
Quantify pedestrian footfall before signing a lease or expanding a property. Validate traffic assumptions for new locations, expansions, and tenant mix decisions with continuous baseline data.
Before/After Impact Measurement
Measure the pedestrian impact of layout changes, new attractions, signage updates, or property renovations. Continuous baseline and post-change data to prove ROI on every improvement you make.
Field-validated accuracy across real deployments
Not lab conditions. Not controlled environments. These are measured results from Safari AI deployments at real venues, properties, and destinations.
See multimodal detection in real-world conditions
Real camera feeds. Real detections. Pedestrians, vehicles, and bicycles classified simultaneously.
Multimodal Detection
Simultaneous vehicle, pedestrian, and bicycle detection with directional counting. Each mode classified and tracked independently across entrances, parking areas, and pathways.
Pedestrian Flow Tracking
Directional ingress/egress tracking with net pedestrian counts. Real-time flow arrows and density visualization for entrance and zone monitoring.
Frequently asked questions
Safari AI delivers 95%+ counting accuracy in real-world conditions including crowds, variable lighting, and partial occlusion. The system distinguishes between pedestrians, vehicles, and bicycles to avoid false counts across your property.
Yes. Safari AI simultaneously detects and classifies pedestrians, vehicles, and bicycles with separate ingress/egress counting for each mode. This gives property operators a complete picture of how guests arrive, move through the property, and interact with parking areas.
Safari AI works with existing IP cameras, CCTV networks, and security cameras. If you have cameras covering the entrances, pathways, or zones you want to count, we can typically deploy without any new hardware.
All data is available via API or through a custom dashboard built by the Safari AI team specifically for your operations. You can view counts by time interval, direction, and classification mode — and integrate with your existing BI tools or property management systems.
Our AI models are trained on diverse real-world conditions including rain, snow, glare, low light, and nighttime. Accuracy remains 95%+ across environmental conditions.
Yes. Safari AI supports multi-zone and multi-site deployments with centralized dashboard access. Monitor every entrance, pathway, parking area, and attraction zone — and compare pedestrian volumes across properties from a single interface.
See your cameras counting pedestrians in minutes
Book a live demo. We'll show Safari AI classifying pedestrians, vehicles, and bicycles on your actual camera feeds — no obligations.
