33% OFF Smart Parking System Using Python with OpenCV and YOLO
An AI-based Smart Parking System built with Python, Flask, OpenCV, and YOLO to detect vehicles, monitor parking slot availability, manage bookings, calculate parking fees, and generate parking analytics.
Read more- Built with
- PythonMachine LearningBootstrapHTML/CSSJavaScript
- You get
- Source codeDatabaseProject reportPPTSetup guide
- Delivery
- Instant download after payment
Project Overview
The Smart Parking System Using Python with OpenCV and YOLO is an AI-based application designed to automatically detect available and occupied parking spaces. It uses computer vision and YOLO object detection to identify vehicles from uploaded videos, webcams, images, and IP camera streams.
The desktop-based parking management system provides separate Admin and Driver panels. Administrators can manage parking facilities, cameras, parking slots, bookings, payments, and reports. Drivers can register, search for available parking spaces, book slots, and track their parking history.
Key Features
- AI Vehicle Detection: Detects cars, motorcycles, buses, trucks, and bicycles using YOLO.
- Multiple Camera Sources: Supports uploaded videos, webcams, still images, and RTSP/HTTP streams.
- Automatic Slot Detection: Identifies occupied and available parking spaces using manually defined slot regions.
- Live Parking Map: Displays parking availability using green, red, and yellow colours.
- Parking Booking: Drivers can search for available slots and book parking spaces.
- Automatic Entry and Exit Records: Records vehicle entry and exit when parking occupancy changes.
- Fee Calculation: Calculates parking charges based on duration and configured fee rules.
- ML-Based Forecast: Uses RandomForest to forecast occupancy after sufficient parking snapshots are collected.
- Analytics and Reports: Displays occupancy trends, vehicle types, revenue, and parking activity.
- CSV Export: Allows administrators to export reports.
Technologies and Libraries Used
- Python
- Flask
- OpenCV
- YOLO (Ultralytics)
- scikit-learn
- SQLite
- HTML, CSS, JavaScript
- Bootstrap 5
Admin
- Dashboard
- Facilities Management
- Camera Management
- Slot Region Editor
- Entries and Exits Management
- Bookings Management
- Users and Vehicles Management
- Fees and Payments Management
- Analytics and Reports
- Settings
Driver
- Registration and Login
- Profile and Vehicles Management
- Live Parking Availability
- Search Parking
- Book Parking Slot
- Booking Tickets
- Parking History
- Install Python 3.10–3.12.
- Extract the project ZIP file and open the smart_parking folder in VS Code.
- Create a virtual environment:
python -m venv venv
- Activate the environment:
venv\Scripts\activate
- Install required packages:
pip install -r requirements.txt
- Download the YOLO model:
python download_model.py
- Setup the database:
python setup_db.py --starter-lot
- Run the project:
python app.py
- Open in browser:
http://127.0.0.1:5000
Admin Login
Email: admin@updategadh.com
Password: Admin@12345
Stuck while running it? Chat with us on WhatsApp for free installation help.
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