Merge pull request #155 from AbhijitMotekar99/main

Added Number plate detection system : Issue no #125

Image processing/Number plate detection/README.md

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+# Car-Number-Plates-Detection
+
+## Hardware Requirements: 
+ - Camera (to capture images/video feed) 
+ - Computer or embedded system capable of running OpenCV and required libraries 
+ - Sufficient memory and processing power for real-time image processing 
+
+## Software Requirements: 
+ - OpenCV: An open-source computer vision library for image and video processing. 
+ - EasyOCR: A Python library for Optical Character Recognition (OCR). 
+ - Matplotlib: A plotting library for Python (optional, for visualization purposes). 
+ - Google Colab (if using cloud-based computing resources). .
+
+## Resources: 
+ - Haarcascade XML file (haarcascade_russian_plate_number.xml): This file contains 
+   the trained data for detecting Russian number plates. It is used in the project for plate 
+   detection. 
+ - Sample image dataset: Contains images of vehicle license plates, used for testing and 
+   training the detection algorithm. 
+
+## How to run
+ - Just run the numer_plate.py file using python number_plate.py.
+ - The program will capture images from the camera and display the detected number plates.
+ - The detected number plates will be saved in the 'detected_plates' folder.
+ - The program will also display the recognized text from the detected number plates.
+ - give path of saved image to jupyter notebok file.