Parking Spotter is a Rust application that helps you detect free parking spaces in your yard using a camera. The application processes the video feed in real-time and sends an email alert and plays a sound notification when a free parking space is detected. You can use any camera that suits your needs, such as the Logitech C920.
Follow these instructions to build and run the Parking Spotter application on your local machine.
- Rust: 1.57 or newer
- OpenCV: 4.5 or newer
- opencv-rust (Rust crate): 0.54 or newer
- Camera like Logitech C920
- Ensure you have Rust and OpenCV installed on your system.
- Clone the repository.
- Update the
Cargo.tomlfile with the appropriate dependencies. - Run
cargo buildto build the project. - Run
cargo run --releaseto run the project.
The application detects free parking spaces using a series of image processing techniques. First, it preprocesses the video frames by converting them to grayscale and applying Gaussian blur to reduce noise. Then, it uses background subtraction to generate a foreground mask and applies a threshold to create a binary image. The percentage of white pixels in the region of interest (ROI) is calculated and compared to a detection threshold to determine if a free parking space is available.
- Real-time video feed monitoring
- Parking space detection
- Email alerts
- Sound notifications
I welcome contributions to improve the Parking Spotter application. If you have ideas or suggestions, please feel free to open an issue or submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for more information.