Identify every vehicle entering your locations, automatically.
Safari AI turns your existing cameras into a live LPR system. Automate access control, enforce parking policies, and streamline guest check-in.
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Without LPR, parking enforcement and access control rely on manual processes that don't scale.
Most facilities track vehicle access through gate attendants, paper logs, or badge systems that have no connection to real-time camera data. The result is unauthorized vehicles slipping through, slow guest check-ins, and enforcement that arrives too late.
- —Unauthorized vehicles enter restricted zones before staff can intervene
- —Guest check-in requires manual verification that slows front desk operations during peak arrivals
- —Parking violations are logged after the fact with no real-time alert to security teams
- —No historical record of vehicle patterns makes it impossible to identify repeat offenders or optimize access policies
Validated against ground-truth manual records 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 records. Once accuracy is approved, you're live with real-time dashboards and API access from day one.
How leading operators use Safari AI LPR to drive decisions.
Brightline
Brightline assesses curbside activity surrounding train stations through vehicle counts and dwell time data to enhance management of their mobility fleet operations.
Read Brightline Case Study Parking, Garages & Loading Dock Management
JBG Smith
JBG Smith manages and monitors parking for visiting guests at their new Experience Center through license plate recognition and real-time parking occupancy tracking.
Read JBG Smith Case Study Commercial Real Estate
Stanford
Stanford measures KPIs at loading zones including vehicle counts and dwell time analysis to optimize usage of limited space and inform planning for future construction.
Read Stanford Case Study Parking, Garages & Loading Dock ManagementEverything LPR should do, and actually does.
Seamless access control based on pre-registered vehicle data.
Instant alerts when unauthorized vehicles enter restricted zones.
Automated vehicle identification to streamline front desk operations.
Track vehicle patterns and manage allocation with automated monitoring.
Automated Reservations
Automatically captures license plate data to enable seamless parking reservations and access control based on pre-registered vehicle information, eliminating manual check-in bottlenecks at entry points.
Parking Enforcement
Advanced LPR technology identifies unauthorized vehicles and enforces regulations by instantly alerting security when illegal parking occurs, reducing violations without requiring additional staff patrols.
Guest Check-In
Real-time license plate monitoring streamlines guest check-in processes and reduces front desk workload through automated vehicle identification, enabling faster arrivals and a better first impression.
Security Monitoring
Comprehensive LPR data enables businesses to track vehicle patterns, manage parking allocation, and improve overall security through automated monitoring with a full timestamped record of every read.
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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.