Count and classify vehicles.
Any camera. No extra hardware.

Turn any camera into a traffic sensor. Classify cars, trucks, motorcycles, buses, and bikes — with lane-level counts, speeds, and direction data. Deploy in the cloud or on the edge.

96%+classification accuracy
Multi-lanemulti-direction, per-lane counts
Any camerafrom webcams to PTZ

Deployed for smart cities, highway operators, retail parking, logistics hubs, and event traffic

Our models

Three ways to see the road.

Standard vehicle classes, custom class trees, or edge-optimised inference for on-camera deployment.

Fastest

Standard Vehicle Model

Prebuilt engine covering cars, trucks, buses, motorcycles, bicycles, and pedestrians. Live in minutes.

  • Live in minutes
  • Standard vehicle taxonomy
  • Best cost per stream
Try standard model →
Edge-ready

On-Edge / On-Camera

Quantised builds for Jetson, Coral, and smart cameras — perfect for pole-mounted deployments and locations without connectivity.

  • Runs on Jetson / Coral
  • No cloud dependency
  • Aggregated counts only (privacy)
Discuss edge deployment →
Deployment options

Pick your level of ownership.

From a fully managed pipeline to raw model weights on your servers — you choose how deep we go.

01

Hosted API & Dashboard

We host the model. Stream your camera feeds, get real-time counts, speeds, and dashboards.

REST APIRTSPDashboardSLA
02
Turn-key

Full-service Pipeline

Cameras, edge box, and cloud dashboard — installed and monitored. You get counts, alerts, and reports.

Site installEdge inferenceReportsAlerts
03

Model Weights Delivered

Prefer to run it yourself? We hand over the trained weights, inference code, and a runbook. Deploy anywhere.

PyTorch / ONNXTensorRTRunbookSupport
Who it's for

Wherever traffic decisions get made.

🏙️

Smart Cities

Traffic counts by lane and class for signal timing, planning, and mobility studies.

🛣️

Highway Operators

Free-flow monitoring, incident detection, and dynamic-lane usage.

🅿️

Retail Parking

Track occupancy, entry / exit rates, and dwell time from a single camera per zone.

🚛

Logistics Hubs

Yard traffic, dock-door queues, and truck-class analytics for capacity planning.

🎪

Event Traffic

Stadium and festival ingress/egress monitoring for staffing and safety.

📐

Infrastructure Planning

Baseline counts and pre/post studies for road changes, bike lanes, and BRT.

How we work

From brief to deployed model in under two weeks.

1

Scoping call

Free 30-min call to understand your cameras, sites, and the metrics that matter.

2

Site tuning

We define zones, lanes, and class taxonomy on your specific feeds.

3

Validation

You review counts against ground truth. We iterate until numbers hold.

4

Deployment

Hosted, edge, or weights — plus dashboards for your team.

FAQ

Quick answers.

Which vehicle classes do you handle?

Out of the box: cars, vans, trucks (light / heavy), buses, motorcycles, bicycles, and pedestrians. Custom taxonomies (e.g. emergency vehicles, scooters, trams, agricultural machinery) are trained per project.

Can you measure speed and direction?

Yes — via tracking across frames plus camera calibration. Speed accuracy depends on angle and resolution; we validate on your site during setup.

Does it work on PTZ or moving cameras?

Fixed cameras are ideal. PTZ works if positions are stable during counts, or with position-aware compensation. Moving cameras (drones, vehicles) require a different pipeline — talk to us.

What about privacy?

By default we output only aggregated counts and classes — no images or plates stored. For sites needing zero personal data, edge deployment keeps video on-site.

What does it cost?

Standard hosted: per-camera monthly rate. Custom + edge: fixed setup plus monthly. Send us your camera count and metrics needed — we come back with a quote.

Let's talk

Tell us about your traffic project.

Describe your sites, camera setup, and metrics — we come back with a plan and a quote.

No spam, ever