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🩸 Vein Detection System – OpenCV Based

A low-cost, non-invasive Computer Vision system to enhance and detect human veins using Python and OpenCV. This project is a prototype for potential use in healthcare diagnostics, educational demonstrations, and medical device innovation in low-resource settings.

🔧 Features

  • Image-based vein detection using contrast and channel enhancement
  • Works on standard smartphone-captured images
  • No expensive hardware or infrared needed
  • Easily extensible with machine learning for improved accuracy

📁 Files

  • vein_detect_image.py: Base image processing pipeline
  • enhance.py: Enhanced contrast and channel manipulation logic
  • v_enh_3.py: Experimented version with different enhancement parameters

🧰 Tech Stack

  • Python 🐍
  • OpenCV 🎥
  • NumPy

🚀 How to Run

python vein_detect_image.py

Make sure your image file is in the same directory, and update the path in the script if needed.

📸 Input Format

Use clear images of the skin taken under good lighting (preferably with visible vein contours).

📌 Status

✅ Functional prototype 🛠️ Open to improvements (real-time video stream, ML enhancement, mobile adaptation)