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Robust QR Code Detector

Overview

The Robust QR Code Detector is a Python-based tool designed to detect QR codes from images using multiple preprocessing techniques to improve accuracy. It supports batch processing of images in a directory and generates detailed reports on scan results.

Features

  • Detects QR codes using multiple preprocessing methods
  • Saves detected QR code data in JSON format
  • Logs scan statistics, including detection performance per method
  • Supports batch processing of images in a directory
  • Debug mode for detailed logging and image saving
  • Performance tracking with detailed scan summaries

Dependencies

Ensure you have the following dependencies installed before running the script:

pip install opencv-python numpy pyzbar imghdr

Usage

Running the Script

Run the script to process all images in the current directory:

python script_v1.py

or

python script_v2.py

Debug Mode

To enable debug mode for detailed logs and intermediate image saving, modify the debug parameter:

detector = RobustQRCodeDetector(debug=True)

Output Files

  • QR Code Detection Results: JSON file containing detected QR codes for each image.
  • Scan Summary: qr_scan_summary.json with statistics on the scanning process.
  • Debug Images (if enabled): Preprocessed images stored in debug_preprocessed/.

License

This project is open-source and available under the MIT License.