Project Overview
QR Vision SS is a full-stack web-based QR code generation and scanning system developed as part of practical learning in Digital Signal and Image Processing.
The project combines frontend development, backend API development, image processing, computer vision, and deployment into one complete application.
Users can generate QR codes from text or links, upload QR images for decoding, and scan QR codes in real time using a webcam.
Key Features
- QR code generation from text or URL
- QR image upload and decoding
- Real-time webcam QR scanning
- FastAPI backend integration
- OpenCV-based image processing logic
- Frontend-backend API communication
- Responsive and deployed web application
- Separate frontend and backend deployment
- Browser-based camera access
- Practical computer vision implementation
Learning Outcomes
- Applied image processing concepts in a real-world web application
- Practiced OpenCV-based QR detection and decoding
- Built API-based communication between frontend and backend
- Integrated browser webcam access into a web application
- Practiced full-stack deployment workflow
Technologies & System Stack
Core Stack
Screenshots
QR Vision SS homepage
QR Vision SS multi-device responsive showcase
QR Vision SS real-time webcam scanning
QR Vision SS webcam QR code decoding results
QR Vision SS file upload and decode system
QR Vision SS backend API documentation in dark mode
QR Vision SS theoretical image processing background
QR Vision SS mobile view layout
QR Vision SS GitHub repository