Sensor alignment
Synchronize camera, LiDAR and road context in time and space.
One system for sensing, understanding and operating traffic.
TeraFlow connects roadside sensors, 3D perception and tracking to show what is happening and how traffic is changing.
CAMERA + LIDAR
EDGE PROCESSING
3D TRACKING
See more than a camera can show.
Camera provides appearance. LiDAR provides geometry and depth.
TeraFlow combines camera and LiDAR into a traffic view that can be measured, replayed and reviewed.
TeraFlow ResearchPerception → Twin → Decision Support
REAL TIME
Continuous traffic-state awareness
SENSOR FUSION
Camera and LiDAR sensor fusion
3D TRACKING
Vehicles, pedestrians, cyclists and transit
EDGE AI
Local perception and event filtering
CONNECTED
Works with existing traffic systems
Understand movement without turning traffic monitoring into identity tracking.
TeraFlow can process perception at the edge, limit retention and provide operational views that focus on movement rather than identity.
- Edge processing
- Privacy zones · Configurable retention · 2D and 3D operational views
A live model of the road, not a static map.
TeraFlow continuously rebuilds road activity into a spatial traffic model.
Vehicles, motorcycles, pedestrians, lanes, movement and events stay connected across camera footage, 3D perception and historical playback.
MODULAR
Add sensing and perception by site.
EDGE + CENTRAL
Process locally, operate centrally.
MULTI-SITE
Manage many intersections and corridors.
AUDITABLE
Replay events and review decisions.
A traffic system should show what it sees, how conditions are changing and when a person needs to intervene.
TeraFlow engineering principle
TeraFlow Command
Monitor live traffic, inspect incidents and review site health across multiple locations.
Move between camera, 3D traffic context and recorded events without losing context.
- Live road and intersection views
- Camera + 3D traffic context
- Site and sensor health
- Incident review and playback
- Remote configuration
Bring us a road problem.
Technology
How TeraFlow builds a live traffic model
Each stage has a clear input, output and operating role.
Detection and classification
Turn sensor observations into spatial detections with confidence and source data.
Multi-object tracking
Link detections into trajectories through movement, occlusion and sensor handoff.
Traffic digital twin
Connect tracks, lanes, zones, events and infrastructure state in a live road model.
Edge processing
Run selected detection, tracking and privacy tasks close to the road.
Privacy controls
Configure privacy zones, data retention and access for each deployment.
Operator review
Inspect live and recorded traffic state, trajectories, events and system health.