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.