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. # Face Recognition Attendance System

A real-time face recognition system for tracking and monitoring people's presence using computer vision and deep learning.

Key Features

  • One-Shot Face Recognition: Register people with just a single photo using face encodings
  • Real-Time Video Processing: Live video tracking with minimal latency
  • Attendance Tracking: Automatically logs entry/exit times of registered people
  • Multiple Detection Models:
    • YOLO v8 for person detection
    • Face detection and recognition using face_recognition library
  • Unknown Person Detection: Tracks and logs unknown people in the frame
  • Status Monitoring: Maintains current in/out status of all registered people

main1 and main2 are two different implementtaion

Requirements

ultralytics==8.0.0
face-recognition==1.3.0
opencv-python==4.8.0
numpy==1.24.3
pandas==2.0.3
torch==2.1.0
dlib==19.24.0

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