Pune, India • Ontario, Canada • California, USAinfo@ritais.com

Barrier-free tolling built on trusted vehicle identity.

Rassa MLFF architecture combines RFID, ANPR, LiDAR, 4D radar, vehicle classification, enforcement and back-office workflows into a unified tolling platform.

The problem

At highway speed, tolling is not a payment problem. It is an identity problem.

Vehicles change lanes, overlap, occlude number plates, move in mixed traffic and sometimes have unreadable tags. The system must determine which object was present, which lane it occupied, what class it belongs to and what charge applies.

Rassa MLFF stack

  • RFID tag reading and lane-zone attribution
  • ANPR/OCR plate capture and evidence image processing
  • 4D radar tracks with elevation and velocity
  • LiDAR profile and classification support
  • Sensor fusion and transaction confidence scoring
  • Back-office settlement and exception handling
Video placeholders

MLFF demo video library

Use these as generation briefs for short demo videos. Replace the placeholder thumbnails with final MP4/WebM clips later.

The Future of Tolling

Show queues and toll booths transforming into free-flow traffic through an MLFF gantry.

Sensor Fusion Architecture

Animate RFID, ANPR, LiDAR and 4D radar feeding one transaction engine.

4D Radar Explained

Visualize range, azimuth, velocity and elevation creating a moving point cloud.

Transaction Journey

Follow one vehicle from detection to tag read, plate evidence, transaction and settlement.