🚗 Vehicle Entry System - License Plate Detector

A real-time license plate detection and recognition system built with Python, YOLOv8, OpenCV, and Flask. This application can stream video from multiple cameras, detect license plates, and log them into a database.

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✨ Features

• Multi-Camera Support: Stream from webcams or IP cameras (via RTSP).
• High-Accuracy Detection: Uses a YOLOv8 model for robust license plate detection.
• OCR Engine Options: Supports both Tesseract and EasyOCR for character recognition.
• Universal Plate Filter: A flexible filter to detect various international plate formats.
• Database Logging: Automatically logs every detected plate with a timestamp.
• Web Interface: A clean web UI built with Flask and Bootstrap to view live feeds and logs.

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🛠️ Tech Stack

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🚀 Getting Started

Prerequisites

• Python 3.8+
• Git
• Tesseract OCR Engine installed on your system

Installation

1. Clone the repository:

   git clone [https://github.com/Ashakk69/license-plate-detector.git](https://github.com/Ashakk69/license-plate-detector.git)
   cd license-plate-detector

2. Create and activate a virtual environment:

   python -m venv .venv
   source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`

3. Install the required libraries:

   pip install -r requirements.txt

   (Note: You'll need to create a requirements.txt file by running pip freeze > requirements.txt in your terminal)

Running the Application

1. The YOLOv8 model will be downloaded automatically on the first run.

2. Start the Flask server:

   python app.py

3. Open your web browser and navigate to http://127.0.0.1:5000.

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🖼️ Screenshots

Live Feed	Detection Logs
![Live Feed Screenshot]
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)	![Logs Screenshot]
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📄 License

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