Parking Space Counter

This project uses OpenCV to count the number of available parking spaces from a video feed. The system can detect and update the status of parking spots in real-time based on the number of cars occupying them.

Project Overview

This project provides a simple parking space counter application using image processing techniques with OpenCV. It allows the user to:

• Define parking spots on a reference image.
• Count the available parking spots based on a video input feed.
• View results with real-time updates of available parking spots.

Installation

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/TOUZOUZ-Adnane/Parking-Space-Counter.git

2. Navigate to the project directory:

   cd Parking-Space-Counter

3. Install the required dependencies:

   pip install -r requirements.txt

Installation

The project consists of two parts:

1. Parking Spot Selection:

• This part allows you to manually select the parking spots by clicking on an image. The coordinates of the selected spots are stored in a .pkl file for later use.

2. Parking Spot Detection:

• A video feed (e.g., from a camera) is analyzed to determine whether each parking spot is occupied. The available spots are highlighted in green, and occupied spots are shown in red.

Key Libraries:

• OpenCV: A powerful library for image processing and computer vision tasks. It provides tools for reading images, processing them, and analyzing visual data.
• Pickle: A Python module for serializing and deserializing Python objects. In this project, it's used to save and load the positions of parking spots.
• cvzone: A library that simplifies the use of OpenCV for tasks like displaying text and drawing shapes on images.

Usage:

1. Parking Spot Selection: To mark parking spots on an image:

• Run the script that allows manual selection of spots:

  python ParckingSpacePicker.py

• Left-click on the image to add a parking spot, and right-click to remove one.
• The coordinates will be saved in 'assets/positions.pkl'.

2. Parking Spot Detection: To start the parking space counter:

• Run the detection script:

  python main.py

• The available parking spots will be shown on the video with real-time updates.

Demo Video

Watch the demo video to see the project in action:

Demo Video

Contact

If you have any questions or need further assistance, feel free to contact me:

• LinkedIn: Adnane Touzouz
• Email: [email protected]