Custom QR Code Generation
Python, Image Processing
This project implements an automated system for removing backgrounds and applying custom branding to QR codes. It features intelligent image processing that automatically extracts portraits from uploaded images and integrates them with QR code designs, reducing manual editing time and effort. The system generates personalized, branded QR codes while maintaining scan functionality and visual appeal. By streamlining the customization process, it improves brand consistency and enhances user engagement with QR code materials.
Key Metrics
Technologies Used
How It Works
Image Upload
A portrait image is uploaded, and OpenCV isolates the subject by automatically removing the background.
Design Integration
The extracted portrait is composited with the QR code design, preserving scan functionality while applying custom branding.
Branded Output
Matplotlib renders the final branded QR code as a ready-to-use image, tested to confirm it still scans correctly.
Results & Impact
Business Impact
Brand and marketing teams producing personalized QR codes for events, membership cards, or promotions typically rely on manual photo editing for each one, a slow process that does not scale well. By automatically removing backgrounds and compositing portraits into branded QR code designs, this system turns that manual design work into a repeatable process. Teams can produce large batches of personalized, on-brand codes quickly, without a designer touching each image individually or risking codes that no longer scan correctly.