Arrow Detection with OpenCV

This project is a Python-based implementation using OpenCV to detect arrows in a live video feed from a webcam. The code allows for real-time contour detection and tracks the orientation of arrow-like shapes.

Features

• Real-time video processing: The webcam feed is processed live for arrow detection.
• Contour detection: Arrows are detected based on their contour shapes.
• Angle calculation: The angle of the detected arrow is calculated and displayed on the screen.

How it Works

• The webcam captures the video feed.
• The frame is converted to HSV color space.
• Lower and upper bounds for HSV are set using trackbars.
• A binary mask is created to filter out colors that do not fall within the HSV range.
• Contours are detected from the mask.
• If a contour resembles an arrow, the angle of the arrow is calculated and displayed.

Authors

• GitHub: @Akshath Dubey
• Instagram: @akshath_dubey

License

This project is licensed under the MIT License.