QR Code Detection on Metal Surfaces 🖼️✨

This project is an image processing solution designed to detect QR codes, even on challenging surfaces such as metal. It leverages advanced algorithms to ensure accurate detection and decoding of QR codes under various conditions. 🔍

Features ✨

• Robust Detection: Capable of detecting QR codes on reflective and metallic surfaces. 🛡️
• High Accuracy: Optimized for precision in decoding QR codes. 🎯
• Versatile: Works with a variety of image inputs and lighting conditions. 💡

Prerequisites 🛠️

Before using this solution, ensure you have the following installed:

• Python 3.x 🐍
• Required Python libraries (e.g., OpenCV, NumPy) 📦
• Flask framework (for web-based interface) 🌐

Installation 📥

1. Clone this repository: 📂

   git clone <repository-url>

2. Navigate to the project directory: 📁

   cd EASE

3. Install the required dependencies: ⚙️

   pip install -r requirements.txt

Usage 🚀

1. Place the image files to be processed in the designated input folder. 🖼️
2. Run the main script: 🏃

   python main.py

3. The detected QR codes and their data will be displayed in the console or saved to the output folder. 📤

Contributing 🤝

Contributions are welcome! Feel free to submit issues or pull requests to improve this project. 💡