https://github.com/miteshgupta07/car-parking-space-detection-using-computer-vision

A computer vision-based car parking space detection system that identifies and monitors available parking spots in real-time, optimizing parking management and enhancing user convenience.
https://github.com/miteshgupta07/car-parking-space-detection-using-computer-vision

computer-vision cvzone opencv

Last synced: 3 months ago
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A computer vision-based car parking space detection system that identifies and monitors available parking spots in real-time, optimizing parking management and enhancing user convenience.

• Host: GitHub
• URL: https://github.com/miteshgupta07/car-parking-space-detection-using-computer-vision
• Owner: miteshgupta07
• License: mit
• Created: 2024-05-29T12:09:04.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-05-29T12:28:29.000Z (11 months ago)
• Last Synced: 2024-12-28T03:27:46.201Z (4 months ago)
• Topics: computer-vision, cvzone, opencv
• Language: Python
• Homepage:
• Size: 21.5 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Car Parking Space Detection Using Computer Vision

This project uses computer vision techniques to detect empty parking spaces in a video feed of a parking lot. It processes the video frames to identify and count the number of available parking spots.

![Screenshot (195)](https://github.com/miteshgupta07/Car-Parking-Space-Detection-Using-Computer-Vision/assets/111682782/0a0489ea-af77-4a65-8a5a-d6cec55ce086)

## Getting Started

1. Clone the repository: `git clone https://github.com/miteshgupta07/Car-Parking-Space-Detection-Using-Computer-Vision.git`

2. Install the required dependencies: `pip install -r requirements.txt`

## Usage

1. Video Path Configuration: Set the path to your video file and the file containing parking positions in the code.

2. Running the Script: Run the Python script to start processing the video feed and detecting empty parking spaces.

## Contributing

Contributions are welcome! If you have any suggestions, feature requests, or bug reports, please open an issue or submit a pull request.

## Contact

For inquiries or collaborations, please contact me at [email protected].