Why process at the edge
Reduce latency, network load and exposure of raw sensor data.

TeraFlow connects roadside sensors, 3D perception and tracking to show what is happening and how traffic is changing.
CAMERA + LIDAR
EDGE PROCESSING
3D TRACKING

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
Continuous traffic-state awareness
Camera and LiDAR sensor fusion
Vehicles, pedestrians, cyclists and transit
Local perception and event filtering
Works with existing traffic systems

TeraFlow can process perception at the edge, limit retention and provide operational views that focus on movement rather than identity.


Add sensing and perception by site.

Process locally, operate centrally.

Manage many intersections and corridors.

Replay events and review decisions.


Monitor live traffic, inspect incidents and review site health across multiple locations.
Move between camera, 3D traffic context and recorded events without losing context.
Edge processing
TeraFlow can run selected perception and event tasks near the sensors, then pass required outputs to central systems.
Reduce latency, network load and exposure of raw sensor data.
Detection, tracking, privacy filtering and event logic selected for the site.
Apply privacy zones and filtering before data leaves the road environment.
Send only the agreed data and formats to central review and storage.
Choose edge hardware against the sensors, models and workload for the site.
Monitor node health and manage configuration under the agreed operating model.
Controller connections and physical actions require separate testing and acceptance.