๐Ÿง  How It Works
FASTAG MLFF ยท End-to-End Intelligent Tolling Architecture
๐Ÿค– AI-Powered MLFF Pipeline
โ— System Architecture

Barrierless tolling powered by FASTag, ANPR and multi-frame AI intelligence.

FASTAG MLFF identifies a moving vehicle, reads its registration plate, verifies the associated record, processes the toll decision, and updates operational analytics โ€” without requiring a conventional toll barrier.

End-to-End MLFF Processing Flow

From vehicle entry to transaction or violation decision.

โ— Pipeline Active
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Step 01

Vehicle Enters Zone

A vehicle enters the free-flow tolling zone without stopping at a physical barrier.

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Step 02

FASTag Identification

The system receives the FASTag identifier supplied to the scan workflow for vehicle verification.

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Step 03

ANPR Capture

Image or video input is processed to locate the vehicle registration plate.

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Step 04

AI Recognition

YOLO detects the plate; OCR reads it; video tracking and multi-frame consensus improve reliability.

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Step 05

Verify & Process

The recognized plate is matched with registered data to process a toll transaction or violation.

Detection
Ultralytics YOLO
Recognition
PaddleOCR + EasyOCR
Video Intelligence
ByteTrack + Consensus
Application Layer
FastAPI + PostgreSQL

MLFF System Demonstration

Visual demonstration of the barrierless tolling and AI recognition workflow.

๐ŸŽฌ How FASTAG MLFF Works

Vehicle detection, ANPR recognition and automated toll processing.
System Demo

Inside the AI Pipeline

How raw visual input becomes a verified tolling event.

01

Plate Detection

The ANPR pipeline analyzes uploaded images or video frames. A trained YOLO model identifies the license-plate region and extracts the plate crop for recognition.

YOLOOpenCVANPR
02

OCR & Plate Normalization

PaddleOCR and EasyOCR analyze enhanced plate crops. Recognition candidates are cleaned and validated before being accepted as plate evidence.

PaddleOCREasyOCRPreprocessing
03

Multi-Frame Video Intelligence

ByteTrack maintains identity across frames. Multiple OCR observations are accumulated and fuzzy-clustered so the final plate is selected from consistent evidence instead of one frame.

ByteTrackRapidFuzzConsensus Voting
04

Database Verification & Toll Decision

The recognized registration is checked against registered vehicle and FASTag records. The system records a successful toll transaction or flags a violation for review.

FastAPIPostgreSQLTransaction Logging

Decision Outcome

Every recognized vehicle event reaches one of these operational outcomes.

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Verified Transaction

Registered vehicle and FASTag data match. Toll processing is recorded and dashboard analytics are updated.

OR
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Violation Event

An unmatched or unregistered plate event is recorded for operational review and shown in the violations dashboard.