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Experience seamless license plate recognition with our Python-based project utilizing YOLOv8. Achieve rapid and accurate detection for diverse applications, from security surveillance to traffic management

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Automatic Vehicle Identification Number Tracker

This project implements an Automatic Vehicle Identification Number using the YOLOv8 object detection algorithm in Python. It provides functionality to detect license plates in images and videos, along with utilities for processing and testing.

Features

  • License plate detection and tracking using YOLOv8.
  • Utilities for image and video processing.

Project Structure

├── README.md
├── model
│   ├── yolov8n.pt
    ├── license_plate.pt
├── sort
├── main.py
├── util.py
├── test.py
├── requirements.txt
├── results
    ├── test.gif

Installation

  1. Clone this repository:

    git clone https://github.com/jaigane6387/Automatic-VIN-Tracker
  2. Navigate to the project directory:

    cd Automatic-VIN-Tracker
  3. Install dependencies:

    pip install -r requirements.txt

Usage

  1. Run the main script main.py to perform car and license plate detection on a video.

    python main.py
  2. Utilize the provided utilities in utils.py for additional processing or customization.

  3. Evaluate the performance of the Automatic Vehicle Identification Number system using the test script test.py.

    python test.py
    

Output

Test output

Tech Stack

Python Pytorch OpenCV

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

Note: If you like this repository, kindly give it a star and share it with your peers , lets explore cutting edge technologies together.

Contact

Connect with me on social media platforms to stay updated on this project and more!

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Experience seamless license plate recognition with our Python-based project utilizing YOLOv8. Achieve rapid and accurate detection for diverse applications, from security surveillance to traffic management

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