Automated Toll Tax Estimation System

A real-time AI-powered Traffic Monitoring System that detects vehicles, tracks their movement, and automatically calculates toll tax revenue based on vehicle type. Built using YOLOv8, DeepSORT, and OpenCV.

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This project contains 02 Modules.

Module 01 (Using Pretrained model Yolov8 and DeepSorting for vehicle tracking to avoid toll tax re-charge across frames)

Demo

Status: Module 1 Complete (Pre-trained Baseline + Tracking Algorithms).

Module 2 (Fine-tuning + Tracking Algorithms + Comparative Analysis) Completed.

🚀 Features

• 🚗 Vehicle Detection: Classifies Cars, Trucks, Buses, and Motorcycles in real-time.
• 📍 Object Tracking: Uses DeepSORT/ByteTrack to assign unique IDs to vehicles (prevents double counting).
• 💰 Automatic Billing: Calculates total revenue dynamically based on a configurable price list.
• 📊 Live Dashboard: Displays vehicle counts and total revenue overlay on the video feed.
• 📝 Summary Report: Generates a text summary of total traffic volume and tax collected upon exit.

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🛠️ Tech Stack

• Language: Python
• torch, openCV, keras, shutil, os, ...
• Detection Model: YOLOv8 via ultralytics
• Tracking: deep-sort-realtime / ByteTrack
• Computer Vision: OpenCV (cv2)

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⚙️ Installation

1. Clone the Repository

   git clone [https://github.com/SobanHM/Automated-Toll-Tax-System.git](https://github.com/SobanHM/Automated-Toll-Tax-System.git)
   cd Automated-Toll-Tax-System