Shipping, Trucking & Logistics | Safari AI
Shipping, Trucking & Logistics

Real-Time Intelligence for Every Gate, Every Dock, Every Vehicle.

Safari AI connects to your existing cameras to deliver live vehicle counts, dwell time analytics, queue management, and license plate recognition across your logistics facilities. No construction, live in under two weeks.

What We Do

Turn every camera feed into a decision your team can act on.

Vehicle Counts

Inbound and outbound volume at every gate.

  • Spot peak windows and prevent gate congestion
  • Track volume trends for capacity planning

Vehicle Dwell Time

Time per zone to catch overstays before they cascade.

  • Flag overstays and trigger action immediately
  • Set dock time limits with real data

License Plate Recognition

Automated carrier check-in and unauthorized detection.

  • Automate gate access, flag unauthorized vehicles
  • Generate verified arrival logs for compliance

Queue Management

Live queue length and wait times at every gate.

  • Alert before queues reach the public road
  • Redirect traffic to open gates proactively

Vehicle Classification

Vehicle type detection for automatic lane and dock routing.

  • Route oversized vehicles without manual gate checks
  • Flag unauthorized types in restricted zones

Throughput Monitoring

Flow per lane to catch shortfalls with time to recover.

  • Alert when below target while there's still time to act
  • Compare shifts to drive scheduling improvements
See the Dashboard

Every view your operations team needs, live.

From vehicle dwell times at the dock to queue lengths at the gate, Safari AI surfaces the right data at the right moment and tells your team exactly what to do.

Know which docks are running over time and act before the yard backs up.

Track how long every vehicle spends at each zone. When a vehicle exceeds its allocated dwell time, your team gets a specific action rather than discovering the bottleneck when the next truck arrives.

  • Per-zone dwell flagged against your defined limits to the minute
  • Overstay alerts dispatched with zone, plate, and duration
  • Peak dwell analysis by shift to inform time allocation and scheduling
  • Weekly trend to support facility layout and capacity planning
Book a Demo
Action Center
LIVE09:18:44
Morning deliveries
Overstay Alert · 09:15
Dock 4 at 3hr 12min (limit: 90 min). Next arrival at 09:30. Dispatch yard ops to Dock 4 now to relocate the vehicle before the incoming carrier arrives.
Plate: TRK-8841 · Heavy truck · Dock 4Mark as Acted →
Dwell by Dock (min) 90 min limit
90m 240 90 62 74 118 192 58 104 D1 D2 D3 D4 D5 D6
OKWarningOver
Current Dwell
Dock 4
192 min
Dock 6
104 min
Dock 3
118 min
Dock 1
62 min

Stop queue backups from reaching the public road before your team knows about them.

Track gate queue lengths and wait times in real time. When queues exceed your threshold, your team gets a specific action to redistribute traffic before it becomes a road safety or regulatory issue.

  • Live queue length by gate updated throughout every shift
  • Threshold alerts with traffic redistribution recommendations
  • Peak queue hour identification for gate staffing and scheduling
  • Daily trend to validate the impact of scheduling and lane changes
Book a Demo
Action Center
LIVE09:18:44
Morning deliveries
Queue Alert · 09:16
Gate A at 14 vehicles, extending toward the public road (limit: 8). Open Gate A Lane 2 immediately and redirect inbound carriers to Gate B via yard radio. Gate B currently at 3 vehicles.
Estimated wait at Gate A: 28 minMark as Acted →
Queue Length by Gate Today
Limit 16 8 2 7am 9am Now
Gate AGate BGate C
Queue by Gate
Gate A
14 vehs
Gate C
7 vehs
Gate B
3 vehs

Automate carrier check-in and eliminate unauthorized entry without adding gate staff.

Recognize authorized carriers the moment they approach your gate. When an unregistered plate enters a restricted area, your team is alerted immediately with the plate, vehicle type, location, and time on site.

  • Real-time plate matching against your authorized carrier database
  • Instant alerts when unregistered vehicles enter restricted zones
  • Verified arrival and departure timestamps for compliance reporting
  • Access log exportable for security audits and shipper reporting
Book a Demo
Action Center
LIVE09:18:44
Morning deliveries
Unauthorized Entry · 09:17
Plate VXM-3392 entered secure yard at Gate B with no carrier authorization. Dispatch security to Gate B staging area. Medium box truck. No prior site access history.
Time on site: 1 min · Location: Gate B stagingMark as Acted →
Gate Activity Today Authorized vs Unauthorized
80 50 20 7am 9am Now
AuthorizedUnauthorized
Scans Today
Authorized
312
Unauthorized
5
No Read
3

Know where your facility is losing processing capacity and recover it the same shift.

Track vehicle flow through every processing lane and gate. When throughput falls below target, your team gets a specific recommendation to recover flow before it impacts carrier commitments.

  • Vehicles-per-hour by gate and lane updated throughout operations
  • Throughput drop alerts with recommended lane or scheduling adjustments
  • Daily total vs target with end-of-shift forecast
  • Shift-over-shift comparison to drive continuous improvement
Book a Demo
Action Center
LIVE09:18:44
Morning deliveries
Throughput Alert · 09:12
Facility 18% below daily target through the first 2 hours. At current pace you will miss today's goal by 42 vehicles. Open Gate C second lane and increase dock assignment for Docks 2 and 5 to recover before midday.
Estimated recovery if acted now: on target by 12:00Mark as Acted →
Vehicles/hr Actual vs target
Target 60 45 25 7am 9am Now
TargetActual
Throughput by Gate
Gate A
28/hr
Gate B
32/hr
Gate C
20/hr
The Problem

Guessing is costing you throughput, carrier relationships, and operational control.

Most logistics facilities rely on manual gate logs or end-of-shift summaries. By the time a bottleneck or unauthorized vehicle is identified, the damage to throughput and compliance is already done.

  • Dock overstays undetected until the next carrier arrives with nowhere to unload
  • Gate queues backing onto public roads before operations staff know they exist
  • Manual carrier check-in slowing gate throughput with no automated audit trail
  • Throughput gaps found at end of shift with no time left to recover them
See How Safari AI Solves This
95%+
Counting Accuracy

Validated against manual ground-truth counts at your deployment. If any camera view underperforms, we retune at no cost before you go live.

<2wk
Time to Live
$0
New Hardware
24/7
Live Data
How It Works

Leverage your existing cameras. No construction. Live in under two weeks.

Step 01

Camera Review

We assess your existing CCTV or IP camera feeds remotely. Compatible views proceed; any incompatible ones are flagged before any commitment.

Step 02

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.

Step 03

Calibrate and Go Live

Models are validated against manual counts at your location. Once accuracy is confirmed, you are live with real-time dashboards and API access from day one.

Free 30-Day Pilot

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

Rather we reach out? Fill out the form and someone from our team will be in touch to schedule a demo.

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.