The Smart Parking System leverages Computer Vision to automatically detect and manage parking spaces in real-time. This solution is ideal for high-traffic areas like parking lots, shopping malls, airports, and urban environments, where efficient parking management is critical for reducing congestion and enhancing user satisfaction.
Key highlights include:
Clone the Repository
git clone https://github.com/bashitalishaikh/smart-parking-system.git cd smart-parking-system
Install Dependencies
Ensure Python 3.x is installed, then run:
pip install opencv-python cvzone numpy pickle twilio
Set Up Parking Lot Data
CarParkPos file to define parking spot coordinates.[(100, 150), (200, 150), (300, 150)]
Run the Parking System
Start the system with:
python main.py
The Smart Parking System is a transformative solution for managing parking efficiently. Its integration with real-time monitoring, mobile apps, and IoT devices offers a seamless and user-friendly experience. Future enhancements like automated entry/exit, reservation systems, and advanced notifications can further revolutionize parking management, making it indispensable for urban development.