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This is a simple project to detect security features on Philippine banknotes using the YOLO object detection algorithm.

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πŸ’΅ Philippine Money Security Features Detection

This Python script utilizes the Ultralytics YOLO model in conjunction with OpenCV and CvZone to detect various security features on Philippine peso bills.

🧰 Features

  • Detects multiple security elements such as:

    • Concealed Value
    • Security Thread
    • See-through Mark
    • Serial Number
    • Value
    • Watermark
  • Visualizes detections with bounding boxes and labels.

πŸ›  Requirements

  • Python 3.7 or higher
  • OpenCV
  • CvZone
  • Ultralytics YOLO

Install the required packages using pip:

pip install opencv-python cvzone ultralytics

πŸ“‚ Usage

  1. Place your target image in the image/ directory.
  2. Ensure your YOLO model weights (money.pt) are located in the weights/ directory.
  3. Run the script:
pythin main.py

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This is a simple project to detect security features on Philippine banknotes using the YOLO object detection algorithm.

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