Laser Pointer Detection

This project uses OpenCV to detect and track a red laser pointer in real-time using a webcam. It captures each frame, filters for a specified range of red colors in HSV space, and identifies contours matching the color of the laser pointer. When the laser pointer is detected, the program draws a green circle around it and displays its coordinates.

Features

• Real-time red laser pointer detection
• Circle overlay and coordinate display on detected laser spots
• Adjustable HSV color range for tuning to different laser pointer colors

Requirements

• Python 3.x
• OpenCV library
• Numpy library

Installation

1. Clone the repository: https://github.com/msc0v0/detect-a-laser-pointer_winter-hack

   pip install opencv-python-headless numpy
   python import cv2.py

Usage

• Make sure your webcam is connected.
• Run the script as shown in the installation instructions.
• The live video feed from your webcam will appear.
• Point a red laser at the camera view; the program will detect it, draw a green circle around it, and show its coordinates.

Adjusting HSV Range

If the laser pointer is not detected accurately, adjust the HSV range in the script:

lower_red = np.array([160, 100, 100])
upper_red = np.array([179, 255, 255])

Exiting the Program

To close the program, press 'q' on the keyboard in the video window.

License

This project is licensed under the MIT License.

Acknowledgements

• OpenCV for powerful computer vision tools.
• Numpy for efficient array handling.