https://github.com/dhruv-26/parkease-pro
ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.
https://github.com/dhruv-26/parkease-pro
automatic-number-plate-recognition computer-vision easyocr multiprocessing numpy opencv pickle pil python sql tkinter-gui
Last synced: 9 days ago
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ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.
- Host: GitHub
- URL: https://github.com/dhruv-26/parkease-pro
- Owner: Dhruv-26
- Created: 2025-02-10T04:46:00.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-11T17:25:46.000Z (over 1 year ago)
- Last Synced: 2025-02-28T22:34:48.271Z (over 1 year ago)
- Topics: automatic-number-plate-recognition, computer-vision, easyocr, multiprocessing, numpy, opencv, pickle, pil, python, sql, tkinter-gui
- Language: Python
- Homepage:
- Size: 10.8 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ParkEase Pro
ParkEase Pro is an AI-powered smart parking system designed to streamline parking management. It automatically calculates parking fees using ANPR technology to detect vehicle number plates, track entry-exit times, and determine parking duration-based charges. The system provides real-time monitoring, detects cars using AI, and identifies empty parking spots to ensure a hassle-free experience for users. By displaying occupied and available slots, it reduces manual errors and makes the parking process more efficient and accurate.
## Problem
Traditional parking systems are inefficient and time-consuming. Drivers often spend a lot of time searching for an empty parking space, leading to congestion in the parking lot. Additionally, traditional parking systems can be difficult to manage, and parking lot operators may struggle to keep track of occupancy rates and collect payments.
## Solution
ParkEase Pro can address these challenges by automating the parking process and providing real-time information to drivers and parking lot operators. The system can use cameras and image processing algorithms to detect the presence of cars and identify empty parking spaces. This information can then be used to direct drivers to available spaces and to calculate parking charges based on the length of time they are parked.
## Flow Diagram
## 🛠️ Tech Stack
- **Programming Languages:** Python `3.11.3` , SQL
- **Python Libraries:** OpenCV, Pickle, NumPy, PIL, Tkinter
- **IDE:** PyCharm
## Demo Video
https://github.com/user-attachments/assets/2573cea9-5400-426c-9df0-26912f46b6b1
## ParkingLot Monitoring Video
https://github.com/user-attachments/assets/3120f0d1-0ce8-44d1-83c1-c3bb8ed27640
## Screenshots
### Vehicle Entry
### Vehicle Exit
## Note
This is our **Minor Project**, where we aim to develop a system that will **automatically calculate parking charges** based on the duration of vehicle parking and perform **real time monitoring of parking lot** .
## 👨💻 Project Members
- [Dhruv Kumar](https://github.com/Dhruv-26)
- [Rachit Sharma](https://github.com/developer-rachit)
- [Naveen Chandra](https://github.com/Nc-upadhyay)
## Research Paper
[ParkEasePro_research_paper.pdf](https://github.com/user-attachments/files/18730177/ParkEasePro_research_paper.pdf)
## PowerPoint Presentation
[ParkEasePro.pptx](https://github.com/user-attachments/files/18730517/ParkEasePro.pptx)
## Certificates
## Contributing
Contributions are welcome If you have any suggestions or find any issues, please feel free to open an issue or a pull request.
## Contact
- Email: [dhruvkushwaha83@gmail.com](mailto:dhruvkushwaha83@gmail.com)
- LinkedIn: [https://www.linkedin.com/in/dhruv-kushwaha/](https://www.linkedin.com/in/dhruv-kushwaha/)