Cloud-Based Automatic Number Plate Recognition (ANPR) System
Project Overview
The Cloud-Based Automatic Number Plate Recognition (ANPR) System uses cloud computing and machine vision to recognize and manage vehicle license plates efficiently. This system captures vehicle images via cameras, processes them to extract number plate data using OCR (Optical Character Recognition), and stores the information in the cloud for real-time access. It is ideal for parking management, toll booths, and traffic monitoring applications.
Key Features
License Plate Detection
Captures and identifies license plate numbers.
Cloud Storage
Saves vehicle data securely on the cloud.
Real-Time Processing
Processes data instantly for real-time applications.
Multi-Vehicle Support
Supports simultaneous processing of multiple vehicles.
Error Reduction
Enhances recognition accuracy with OCR.
Analytics Dashboard
Offers a web-based dashboard for data insights.
Technologies used
- Programming Language: Python / JavaScript
- Image Processing Library: OpenCV or TensorFlow
- Cloud Platform: AWS / Firebase for data storage
- OCR Engine: Tesseract OCR or Google Vision API
- Dashboard Framework: React.js or Flask
- Camera Integration: IP cameras or Raspberry Pi camera modules
Why Choose This Project?
- ✅ Ideal for mastering cloud computing and real-time data processing.
- ✅ Hands-on experience with OCR and image processing tools.
- ✅ Learn to develop intelligent traffic monitoring solutions.
- ✅ Gain expertise in building scalable cloud-based applications.
- ✅ Build proficiency in creating dashboards for data analysis.
Deliverables From Our Side
- → Complete source code and project documentation
- → Cloud setup and integration instructions
- → Dashboard source code and installation files
- → Simulation or working demo video
