Automated Traffic Monitoring System

An end-to-end AI-powered Traffic Monitoring and Management System that automates vehicle detection, tracking, number plate recognition, traffic violation detection, and real-time analytics.
The system integrates YOLOv8, DeepSORT, and EasyOCR for vision-based intelligence, coupled with a database backend and a real-time dashboard for live monitoring and traffic insights.

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🧩 Overview

This system provides a comprehensive solution for smart traffic management by combining object detection, optical character recognition (OCR), vehicle tracking, and analytics in one unified pipeline.

Core Functionalities:

1. Vehicle Detection using YOLOv8.
2. Number Plate Detection using a secondary YOLOv8 model.
3. Number Plate Text Extraction with EasyOCR.
4. Vehicle Tracking using DeepSORT.
5. Traffic Violation Detection (e.g., overspeeding).
6. Vehicle Entry–Exit Logging in a central database.

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🧠 Key Features

• 🚘 Accurate Multi-Vehicle Detection:
  Detects and classifies multiple types of vehicles in real-time using YOLOv8.

• 🔢 Automatic Number Plate Recognition (ANPR):
  Extracts and reads number plates using EasyOCR with high accuracy across varying conditions.

• 🎯 Vehicle Tracking with Identity Persistence:
  DeepSORT maintains consistent vehicle IDs across frames for reliable multi-object tracking.

• 🚦 Traffic Violation Detection:
  Automatically flags vehicles involved in overspeeding.

• 💾 Database Logging:
  Stores detected vehicle information (plate number, timestamp, entry/exit, violation data) in a structured database for further analysis.

🚀 Upcoming Features

• 🪖 Helmet Detection:
  Detects whether two-wheeler riders are wearing helmets and logs information of riders found without helmets.

• 📲 Real-Time User Notifications:
  Sends instant alerts to drivers who violate traffic rules via SMS or WhatsApp messages.