The ID Scanner project is a versatile application designed to scan identification cards, read barcodes, and detect faces within the ID cards. Built with Python, this project leverages image processing and computer vision techniques to extract information from ID cards efficiently. Whether used for identity verification, access control, or data collection, the ID Scanner offers a powerful solution for various applications.

• ID Card Scanning: The application allows users to scan identification cards quickly and accurately, capturing essential information such as name, ID number, and date of birth.

• Barcode Reading: With barcode reading capabilities, the ID Scanner can extract data encoded in barcodes printed on ID cards, providing additional information for verification purposes.

• Face Detection: Using advanced facial recognition algorithms, the project can detect and analyze faces within the scanned ID cards, enabling identity verification and facial biometrics.

• Versatility: The ID Scanner supports a wide range of identification card formats and types, making it suitable for various industries and use cases, including security, hospitality, and healthcare.

1. Python: Ensure you have Python installed on your system. You can download it from python.org.

2. Required Libraries : This project uses several Python libraries for data analysis and GUI development. You can install these dependencies using the following command:

  pip install -r requirements.txt

1. Clone the project

  git clone https://github.com/RaST-EDITH/ID-Scanner.git

2. Go to the project directory

  cd ID-Scanner

3. Create a virtual environment (recommended):

  python -m venv venv

4. Activate the virtual environment:

• On Windows:

  .\venv\Scripts\activate

• On macOS and Linux:

  source venv/bin/activate

5. Install the project dependencies from the requirements.txt file:

  pip install -r requirements.txt

6. Now, you have all the necessary packages installed in your virtual environment. You can start using the project. To deactivate the virtual environment when you're done, simply run:

  deactivate

• Database Integration: The extracted information is stored in a centralized database along with employee records and access permissions.

• Access Point Deployment: Access control points equipped with ID Scanners are installed at various entry points throughout the premises.

• Identity Verification: When an employee approaches an access point, they present their ID card to the scanner.The ID Scanner reads the barcode on the ID card and performs facial recognition to verify the employee's identity.

• Access Granting: If the employee's identity is successfully verified and they have the necessary access permissions, the access control system grants them entry.

• Real-Time Monitoring: The ID Scanner continuously monitors access points and logs entry/exit events in real-time. Security personnel can view access logs and receive alerts for any unauthorized access attempts.

Contributions to this project are welcome. If you have ideas for improvements or would like to extend its functionality, please consider forking the repository and submitting a pull request.

If you have any questions or need assistance with the project, please don't hesitate to contact us at