Don't Buy Scanner! Build your own smart scanner using python Project

Date Of Publish 15/06/2024

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Overview

Learn how to create your own scanner python project using 25 lines of Python code! This easy, fun, and innovative project utilizes OpenCV and Pillow libraries, turning your smartphone and laptop into a powerful scanner. Perfect for beginners and tech enthusiasts, this guide will walk you through setting up your Python environment, installing necessary packages, and writing the code to scan and save documents. Follow our step-by-step instructions and start scanning today!

Features

  • Simple Setup: Easy-to-follow guide for beginners to set up Python environment.
  • Minimal Code: Create a functional scanner in just 25 lines of code.
  • OpenCV Integration: Utilize the powerful OpenCV library for image processing.
  • Pillow Library: Implement the Pillow library to handle image manipulation.
  • Smartphone Compatibility: Turn your smartphone camera into a scanner.
  • Detailed Instructions: Step-by-step guide ensures smooth execution.
  • Document Saving: Efficiently scan and save documents in various formats.
  • Customizable: Code can be adapted and enhanced for advanced features.
  • Free Resources: Use freely available Python libraries and tools.
  • Engaging Project: Perfect for tech enthusiasts and programming hobbyists.

Pre-requisites

  • Python Installed: Make sure you have Python 3.x installed on your system.
  • OpenCV Library: Install OpenCV using pip install opencv-python for image processing.
  • Pillow Library: Install Pillow with pip install pillow for image manipulation.
  • Numpy Library: Ensure Numpy is installed using pip install numpy for numerical operations.
  • Basic Python Knowledge: Familiarity with Python programming basics is recommended.

Resources Required

  • Python Environment: Install Python 3.x on your computer.
  • IDE/Text Editor: Use an Integrated Development Environment (IDE) like PyCharm, VS Code, or a simple text editor.
  • Libraries: Install OpenCV (cv2) and Pillow (PIL) libraries using pip (pip install opencv-python pillow).
  • Camera Device: A smartphone or a webcam to capture the images.
  • Internet Connection: For downloading packages and accessing tutorials.
  • Sample Documents: Physical documents to scan and test your code.

Procedure

  1. Set Up Your Environment: Install Python from the official website and set up a virtual environment.
  2. Install Required Libraries: Use pip to install OpenCV (pip install opencv-python) and Pillow (pip install Pillow).
  3. Capture Image: Write a script to capture an image using OpenCV. Use your webcam or smartphone as the input device.
  4. Preprocess Image: Convert the captured image to grayscale, apply Gaussian Blur, and use edge detection to identify the document’s boundaries.
  5. Detect and Transform Document: Find contours, approximate the document’s shape, and apply a perspective transform to obtain a top-down view.
  6. Save the Scanned Image: Save the transformed image using Pillow for high-quality output.
  7. Run Your Scanner: Test your Python scanner by running the script and capturing documents.

By following these steps, you’ll create a functional document scanner with Python, turning physical documents into digital format effortlessly. For detailed code and instructions, visit our blog and subscribe for more Python projects!

Facing Difficultly to understand.

Watch this video to get more clear understanding to setup this project.