Color Detection using OpenCV

This project performs real-time color detection using a webcam. It detects blue, green, and red objects in the frame, removes noise, and draws bounding boxes with labels.

Features

• Real-time webcam capture
• HSV-based color segmentation
• Noise removal using morphological operations
• Contour detection with bounding boxes
• Supports multiple colors simultaneously

Tech Stack

• Python
• OpenCV (cv2)
• NumPy

How It Works

1. Capture video from webcam
2. Convert frame from BGR to HSV
3. Create masks for:
   • Blue
   • Green
   • Red (two ranges for HSV wrap-around)
4. Apply noise removal:
   • Morphological Opening
   • Morphological Closing
5. Detect contours
6. Draw bounding boxes and labels on detected objects
7. Display:
   • Original frame
   • Mask
   • Result (masked output)

Noise Removal

• Kernel: 5x5
• Operations:
  • Opening (removes small noise)
  • Closing (fills gaps)

Usage

Install dependencies

pip install opencv-python numpy