Note that there will be two seperate programs!!!!

Progarm 1 => Number Plate Detection and OCR (Optical Character Recognition)

Program 2 => Parking-Space-Counter

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Installtion of Program-1

#Progarm 1 => Number Plate Detection and OCR (Optical Character Recognition) 🚗 This Python script detects number plates in a video stream, highlights them, and performs OCR to extract text from the detected number plates. 🚗

Table of Contents

• Installation
• Implementation

Installation

1. Clone the Repository:

   git clone https://github.com/ShreyasPrabhu26/Number-Plate-Detection-and-OCR
   

2. Install Dependencies:

• OpenCV: For capturing video frames and image processing.
• PyTesseract: For OCR (Optical Character Recognition).
• Pillow (PIL): For opening and processing images.

You can install these dependencies using pip:

   pip install -r requirements.txt

3. Tesseract OCR Engine:

Download and install the Tesseract OCR engine from https://github.com/UB-Mannheim/tesseract/wiki. Ensure that you set the correct path to the Tesseract executable (pytesseract.pytesseract.tesseract_cmd) in the script.

Implementation

1. Run the Script:

python main.py

2. Usage:

• The script captures video from the primary camera (you can adjust the camera source in the script).
• Detected number plates are highlighted in green rectangles, and "Number Plate" text is displayed above them.
• To save a detected number plate for OCR, press 's'.
• OCR is performed on the saved number plate image, and the extracted text is saved to the extracted_text.txt file.
• Press 'q' to exit the script.

3. Output:

• The extracted text from the number plates is saved in extracted_text.txt.

4. Enjoy! 🚗

Feel free to customize and extend this script to suit your specific needs. Happy coding! 😊👍

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Program 2 => Parking Space Counter

First open the folder (Parking Space Counter) and install all the dependencies required to run these programs 2. Install Dependencies:

• OpenCV: For capturing video frames and image processing.
• PyTesseract: For OCR (Optical Character Recognition).
• Pillow (PIL): For opening and processing images.
• cvzone: A computer vision library used for various computer vision tasks and utilities.

You can install these dependencies using pip:

   pip install -r requirements.txt

Parking Space Picker

This Python script allows you to define and manage parking spaces in an image interactively.

Usage

1. [IMP]Run the script and allocate the Parking Space!:

      python parkingSpacePicker.py
   

2 Terminate the Program after defining Parking Space

3. Run the Main Script

     python main.py
   

4. [OPTIOANL]Adjust the Parameter in the dialog Box