Lane Departure Warning

Lane models identify unintended drift and unsafe lane behaviour.

How Rassa solves it

Rassa uses computer vision, lane marking detection and trajectory prediction to warn drivers and log risky patterns.

Edge-first design

Events are detected close to the vehicle, reducing latency and bandwidth load.

Control-room integration

Alerts, video and vehicle location are presented to operators for quick decision making.

Evidence workflow

Events are stored, searchable and retrievable for audit, training and claims.