Traffic & mobility / Flagship demonstration
Automated vehicle counts, classification and speed monitoring for roads, junctions and car parks. Build evidence for transport planning, traffic calming and active travel without reading number plates.
| Entry | Exit | |
|---|---|---|
| Arm 1 | 0 | 0 |
| Arm 2 | 0 | 0 |
| Arm 3 | 0 | 0 |
| To 1 | To 2 | To 3 | Total | |
|---|---|---|---|---|
| From 1 | 0 | 0 | 0 | 0 |
| From 2 | 0 | 0 | 0 | 0 |
| From 3 | 0 | 0 | 0 | 0 |
The measurement brief
See which vehicles use the road, when they pass and which routes they take through a junction.
Count cars, buses, motorcycles and bicycles. Delivery vans, HGVs, trucks and service vehicles use a unified utility class; pedestrian detection supports active travel studies.
Examine peak hours, historical patterns, junction turning movements and queue lengths. Combine current dashboards with repeatable reporting periods.
Measure speeds in a calibrated zone, set thresholds and review traffic-calming interventions. Optional speed-event snapshots provide evidence without continuous recording.
Field conditions
The traffic model is custom-trained for UK monitoring conditions, rather than relying only on eye-level photographs.
Perspective-matched training covers vehicle roof profiles, along-road views, side-on positions and oblique junction angles. Distant vehicles occupy a smaller part of the frame.
Vans, trucks and service vehicles are grouped consistently rather than relying on incompatible commercial-vehicle labels across datasets.
Training addresses partly occluded vehicles at barriers and frame edges. Stable multi-object tracks help reduce duplicate detections and improve count continuity.
A site pilot checks performance in the conditions you expect. Lighting, weather, camera angle and vehicles hidden from view can all affect accuracy.
See the original work
Six original demonstrations, filmed from a drone at lamppost height above each junction. These are demonstration recordings, not evidence of permanent installations at the locations.
Film 01 / Day
YouTube / offOptional YouTube video. Loading sends your IP address to Google/YouTube and may let it use cookies or similar storage for measurement and advertising. You can withdraw in Media settings.
Film 02 / Night
YouTube / offOptional YouTube video. Loading sends your IP address to Google/YouTube and may let it use cookies or similar storage for measurement and advertising. You can withdraw in Media settings.
Film 03 / Day
YouTube / offOptional YouTube video. Loading sends your IP address to Google/YouTube and may let it use cookies or similar storage for measurement and advertising. You can withdraw in Media settings.
Film 04 / Night
YouTube / offOptional YouTube video. Loading sends your IP address to Google/YouTube and may let it use cookies or similar storage for measurement and advertising. You can withdraw in Media settings.
Film 05 / Day
YouTube / offOptional YouTube video. Loading sends your IP address to Google/YouTube and may let it use cookies or similar storage for measurement and advertising. You can withdraw in Media settings.
Film 06 / Night
YouTube / offOptional YouTube video. Loading sends your IP address to Google/YouTube and may let it use cookies or similar storage for measurement and advertising. You can withdraw in Media settings.
Put the evidence to work
Use a common measurement approach across routine studies and changing road conditions.
Replace time-limited manual counting with automated monitoring by vehicle type, direction and time of day.
Identify speeding hotspots, gather event evidence and compare the effect of interventions.
Use turning movements and queue lengths to inform signal timing, capacity and safety reviews.
Review entry and exit counts, occupancy trends and turnover for capacity and pricing decisions.
Count cyclists and pedestrians alongside vehicles to inform infrastructure investment.
Monitor roadworks, assess changing traffic patterns and plan diversions using observed data.
Changes that need attention
Traffic alert rules can flag unexpected inactivity, increased volume or speed events.
No vehicles detected at a monitored location for a configurable period.
Expected vehicle traffic has stopped; review possible road closures, access issues or monitoring conditions.
Vehicle count exceeds a configured limit within a defined time window.
A vehicle exceeds the configured threshold in a calibrated speed zone.
Alerts are evaluated on a configured cadence and delivered near real-time. They are signals for review, not a guarantee of immediate detection. Models and rules can be configured per tenant, device and location; custom alert types can be scoped for your workflow.
Share the location, camera position and the decision your survey needs to support. We can scope a demonstration or site pilot.
Describe your site, your cameras and the question you need answered. We can discuss the right approach for your project.
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