Hand Tracking & Safety System

A real-time computer vision application that tracks hand movements and detects proximity to virtual danger zones — built without deep learning frameworks like MediaPipe.
Uses pure OpenCV + NumPy with classical CV techniques.

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Features

• Classical Computer Vision

  • HSV color segmentation
  • Morphological filtering
  • Contour + convex hull extraction
  • Fingertip detection (via hull analysis)

• Safety Logic

  • Detects 3 states:
    • 🟢 SAFE
    • 🟡 WARNING
    • 🔴 DANGER
  • Based on distance from hand to danger zone.

• Analytics

  • Tracks:
    • Total session duration
    • Time spent in danger
    • Time spent in warning

• Visuals

  • Real-time fingertip trails
  • Distance ring guides
  • Blinking danger alerts
  • Optional mask/debug mode

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Requirements

• Python 3.x
• Webcam
• Install dependencies:

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How to Run

1. Connect your webcam.
2. Run the Python script:

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Controls

Key	Action
C	Auto-Calibrate (Hold hand in center box first)
Q	Quit
S	Save Configuration
M	Toggle Mask View (Debug)
D	Toggle Debug Info
T	Toggle Fingertip Trail
G	Toggle Zone Guides
R	Reset Stats