Open Source! Smart Parking Management System C++ Version, Fully Open Source with Complete Code

Smart Parking Management System C++ Version, fully open source with complete code

Source Code

https://www.gitpp.com/haichuang007/project-parking_system

Technical Overview: QT+C++ +MySQL +OpenCV License Plate Recognition to build a parking management system

Client

QT5.12.1
C++11
MySQL 8.0.27
OpenCV 3.2.0
Install K-Lite_Codec_Pack_1676_Standard to decode video (install all default options)

WeChat Mini Program

Backend

CentOS 7.6.1810 x86_64
“Nginx 1.18.0`
PHP-5.6.40

Smart Parking Management System C++ Version: In-depth Analysis of the Open Source Project

Project Positioning and Technology Stack

This project is an open-source smart parking management system based on C++, designed with a modular architecture. The technology stack includes QT 5.12.1 (cross-platform GUI framework), C++11 (core logic), MySQL 8.0.27 (data storage), OpenCV 3.2.0 (license plate recognition and image processing), along with a WeChat mini program client and Linux backend service (CentOS 7.6 + Nginx 1.18.0 + PHP-5.6.40). The system supports multi-platform deployment on Windows/Linux/macOS, and utilizes K-Lite Codec to decode video streams, achieving full-process automated management from vehicle recognition to payment settlement.

Core Functional Modules

Intelligent License Plate Recognition

Image preprocessing based on OpenCV (grayscale, filtering, morphological operations) and license plate detection algorithms (such as YOLO/SSD models or EasyPR optimized version), supporting license plate recognition under various angles and complex lighting conditions.
Real-time video stream processing: Accessing IP cameras via RTSP protocol, combined with multithreading technology to achieve millisecond-level frame processing and state synchronization.

Dynamic Parking Space Management

Real-time monitoring of parking space status: Using a “static ROI division + dynamic status update” strategy, determining parking space occupancy status through edge detection, background subtraction, or deep learning models, supporting a historical frame voting mechanism to avoid misjudgment.
Visual parking space map: The frontend integrates pie charts and heat maps to display the distribution of available parking spaces, with the WeChat mini program supporting real-time parking space queries and reservations.

Billing and Payment System

Flexible billing rules: Automatically calculating fees based on time, vehicle type (small/large/new energy), night discounts, etc., integrating WeChat/Alipay/UnionPay payment interfaces, supporting contactless payments and coupon redemption.
Payment exception handling: In scenarios of network or power outages, staff can manually enter records through the app, and the system automatically synchronizes to the cloud database.

User and Data Management

Account system: Supporting user registration, login, information management (such as license plate binding, payment account configuration), with the backend able to independently configure payment merchant numbers for each parking lot.
Data persistence: MySQL stores vehicle entry and exit records, parking space status, payment transactions, supporting data export and visualization report generation (such as parking duration distribution, revenue trends).

Backend and Extension Capabilities

Microservices architecture: Implementing multi-server collaboration based on Zookeeper, supporting unified management of hardware devices (such as cameras, ground magnetic sensors) and real-time communication via long connections.
Exception monitoring and IM functionality: Integrating an instant messaging module to push real-time notifications of device failures, payment exceptions, etc., supporting industry social and marketing functions (such as parking lot ratings, nearby shopping malls).

Application Scenarios and Advantages

Commercial Scenarios: Suitable for high-traffic parking lots such as shopping centers, office buildings, and airports, enhancing user experience and reducing congestion through parking space reservations and navigation guidance.
Community and Public Facilities: Residential communities, hospitals, and public parking lots can achieve parking space sharing and staggered parking through the system, optimizing resource allocation.
Smart Traffic Integration: As a subsystem of a city-level smart traffic platform, supporting integration with traffic lights and navigation apps to achieve dynamic parking space guidance and congestion warnings.
Technical Advantages: The high-performance characteristics of C++ ensure real-time processing capabilities, QT’s cross-platform features reduce deployment costs, OpenCV + deep learning models enhance recognition accuracy, and modular design facilitates secondary development and customization.

Open Source Value and Extensibility

The project code is fully open source, supporting hardware compatibility extensions (such as adapting to different brands of cameras), payment channel expansions, and third-party API integrations. Developers can optimize license plate recognition algorithms based on the existing architecture, add AI prediction models (such as parking space occupancy rate prediction), or develop enterprise-level BI analysis modules. The system has passed multi-scenario stress testing, supporting high concurrency processing and fault recovery, ensuring stable operation 24/7.

Project Address:https://www.gitpp.com/haichuang007/project-parking_systemTarget Audience: Parking lot operators, smart city developers, university research teams, and corporate IT departments, providing a full-process solution from prototype design to production deployment.