This project was developed as our Semester 4 Mini Project. It is a web-based Automated Parking Management System that allows users to view available parking slots in real time using Django and OCR integration.
Frontend: HTML, CSS, Javascript.
Backend: Django (Python Framework)
OCR: Pytesseract (Python wrapper for Tesseract OCR)
The website allows users to view available parking slots in a selected mall.
OCR data is fetched via Pytesseract every 15 seconds, which updates the backend database with:
✅ Current parked vehicles
✅ Slot occupancy
✅ Slot availability is updated in real-time on the frontend.
Pytesseract processes images from a camera to scan and extract pictures of license plate numbers or relevant vehicle information.
This information is matched against the slot allocation logic to track active parking slots.
✅ Real-time parking slot updates
✅ Visual display of slot availability
✅ OCR-based number plate recognition (via Pytesseract)
✅ Django-powered backend with periodic updates (every 15 seconds)
This website uses HTML, CSS, and the Django framework for the backend.
This is the main page for the website. The user can see the available parking slot in a specific mall by clicking on the View Slots.
The backend requests information from the Pytesseract OCR every 15 seconds and will update relevant details.
- Clone the repository:
git clone https://github.com/Sai25Hajime/Automated-Parking-Management-System.git cd Automated-Parking-Management-System - Install dependencies:
pip install -r requirements.txt
- Run the Django server:
python manage.py runserver