onuralpArsln/EnterpriseCustomerEntranceControlSystemPyQt

User Photo Capture Application

Overview

This is a PyQt-based desktop application for capturing and managing user photos with timestamp tracking.

Features

• Real-time camera feed
• Photo capture functionality
• User photo storage
• Metadata tracking with registration timestamps
• User list view
• Photo preview and details

Prerequisites

• Python 3.7+
• PyQt5
• OpenCV
• Required libraries:

  pip install PyQt5 opencv-python
  

Installation

1. Clone the repository

   git clone https://github.com/yourusername/user-photo-capture.git
   cd user-photo-capture
   

2. Install dependencies

   pip install -r requirements.txt
   

Running the Application

python user_photo_capture.py

Usage Guide

Capturing a Photo

1. Launch the application
2. Click 'Snap Photo'
3. Enter user name
4. Click 'Save User'

Viewing Users

• Click on a username in the left panel
• View photo and registration details
• Return to capture screen with 'Back to Capture'

Project Structure

project_root/
│
├── users/
│   ├── user_metadata.json  # User registration metadata
│   └── *.jpg               # User photos
│
├── user_photo_capture.py   # Main application script
└── README.md               # This documentation

Metadata Storage

• Users are stored in users/ directory
• Metadata tracked in user_metadata.json
• Includes:
  • Photo path
  • Registration timestamp

Troubleshooting

• Ensure camera is connected
• Check Python and library versions
• Verify camera permissions

Contributing

1. Fork the repository
2. Create feature branch
3. Commit changes
4. Push to branch
5. Create pull request

License

[Specify your license here]

Contact

[Your contact information]