Parking management with [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) ensures efficient and safe parking by organizing spaces and monitoring availability. YOLOv8 can improve parking lot management through real-time vehicle detection, and insights into parking occupancy.
## Advantages of Parking Management System?
- **Efficiency**: Parking lot management optimizes the use of parking spaces and reduces congestion.
- **Safety and Security**: Parking management using YOLOv8 improves the safety of both people and vehicles through surveillance and security measures.
- **Reduced Emissions**: Parking management using YOLOv8 manages traffic flow to minimize idle time and emissions in parking lots.
## Real World Applications
| Parking Management System | Parking Management System |
|  |  |
| Parking management Aeriel View using Ultralytics YOLOv8 | Parking management Top View using Ultralytics YOLOv8 |
## Parking Management System Code Workflow
### Selection of Points
!!! Tip "Point Selection is now Easy"
Choosing parking points is a critical and complex task in parking management systems. Ultralytics streamlines this process by providing a tool that lets you define parking lot areas, which can be utilized later for additional processing.
- Capture a frame from the video or camera stream where you want to manage the parking lot.
- Use the provided code to launch a graphical interface, where you can select an image and start outlining parking regions by mouse click to create polygons.
!!! Warning "Image Size"
Max Image Size of 1920 * 1080 supported
```python
from ultralytics.solutions.parking_management import ParkingPtsSelection, tk
root = tk.Tk()
ParkingPtsSelection(root)
root.mainloop()
```
- After defining the parking areas with polygons, click `save` to store a JSON file with the data in your working directory.
