Team Tech Vanguard Presents

Women Safety SOS https://github.com/RAVI-RAJPUT-UMATH/Women_Safety : A quick emergency response system for women's safety.

Signal Automation https://github.com/pawankushwahh/Signal_Automation : An AI-driven system for optimizing traffic signals based on real-time traffic density.

Traffic Rule Violation Detection and Notification System** (This repository): Automated detection of traffic rule violations using computer vision.

Video Demonstration https://drive.google.com/file/d/1GaEdtEzO_qE81oPrjO9-C9Vlkk_zl1CV/view?usp=sharing

Traffic Rule Violation Detection and Notification System

An automated system that detects traffic rule violations using computer vision, processes the violations, and sends notifications to both violators and traffic authorities.

Features

• Real-time Violation Detection: Uses YOLOv8 for detecting vehicles and identifying violations
• Multiple Violation Types: Detects various violations including:
  • No Helmet
  • Wrong Side Driving
  • Signal Jump
• Automated Notifications: Sends instant notifications to:
  • Vehicle owners (SMS)
  • Traffic authorities (SMS + Email)
• Violation Logging: Maintains detailed logs of all violations
• Fine Generation: Automatically calculates fines based on violation type

Prerequisites

1. Python 3.8 or higher
2. Twilio account for SMS notifications
3. CSV files with required data:
   • vehicle_database.csv: Vehicle owner information
   • location_authorities.csv: Traffic authority contact details
   • violation_log.csv: Log of detected violations

Installation

1. Clone the repository:

   git clone https://github.com/pawankushwahh/traffic-violation-detection.git
   cd traffic-violation-detection

2. Install required packages:

   pip install -r requirements.txt

3. Set up environment variables in .env file:

   TWILIO_ACCOUNT_SID=your_account_sid
   TWILIO_AUTH_TOKEN=your_auth_token
   TWILIO_PHONE_NUMBER=your_twilio_phone
   

Project Structure

rule_1/
├── data/
│   ├── vehicle_database.csv      # Vehicle owner information
│   └── location_authorities.csv  # Authority contact details
├── violations/
│   └── violation_log.csv        # Violation records
├── notification_logs/           # Notification history
├── violation_detector.py        # Main detection script
├── notification_system.py       # Notification handling
└── requirements.txt            # Project dependencies

Usage

1. Start the Violation Detection System:

   python violation_detector.py

2. Process Violations and Send Notifications:

   python notification_system.py

   To test without sending actual notifications:

   python notification_system.py --simulation

Data File Formats

1. vehicle_database.csv:

   Vehicle_Number,Owner_Name,Phone_Number,Address
   UP32UV1111,Aditya Mishra,+91XXXXXXXXXX,45 Indira Nagar
   

2. violation_log.csv:

   Vehicle_Number,Violation_Type,Location,Violation_Time,Fine_Amount
   UP32UV1111,No Helmet,Hazratganj,2025-02-15 08:20:00,500
   

Notification Format

1. Violator Notification:

   Traffic Violation Notice
   Dear [Owner Name],
   Your vehicle ([Vehicle Number]) was detected violating traffic rules:
   Violation: [Violation Type]
   Location: [Location]
   Time: [Timestamp]
   Fine Amount: Rs. [Amount]
   

2. Authority Notification:

   New Traffic Violation Detected
   Vehicle Number: [Number]
   Violation Type: [Type]
   Location: [Location]
   Time: [Timestamp]
   Vehicle Owner: [Name]
   Owner Contact: [Phone]
   Fine Amount: Rs. [Amount]
   

Troubleshooting

1. No Notifications Being Sent:

   • Check if Twilio credentials are correctly set in .env
   • Verify vehicle exists in database
   • Check network connectivity

2. Vehicle Not Found:

   • Ensure vehicle information is present in vehicle_database.csv
   • Check if vehicle number format matches database format

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

mail - Kushwahpawan2005@gmail.com Project Link: https://github.com/pawankushwahh/traffic-violation-detection