Face Detection with OpenCV (C++) Overview This project is a simple face detection program written in C++ using the OpenCV library. It uses your laptop's camera to detect faces in real-time and draws rectangles around detected faces.

How It Works

1. Loads a face detection model (Haar Cascade) from a file.
2. Opens your laptop camera to capture video frames.
3. Processes each frame to detect faces.
4. Draws rectangles around detected faces.
5. Displays the video with rectangles in a window.
6. Stops when you press the ESC key.

Prerequisites • OpenCV installed on your computer (Windows). • The file haarcascade_frontalface_default.xml (download from OpenCV GitHub). • A working laptop camera.

How to Run

1. Build the project in Visual Studio (make sure OpenCV is linked correctly).
2. Copy the file haarcascade_frontalface_default.xml into the same folder as your executable.
3. Run the program. A window will open showing your camera feed with rectangles around detected faces.
4. Press ESC to close the window and stop the program.

Troubleshooting • If you get errors about missing DLLs or unresolved symbols, make sure you have linked OpenCV libraries correctly and copied the required DLLs to your output folder. • If the camera does not open, check that your laptop camera is working and not used by another application.