FaceTrack-Surveillance-GUI

A real-time face recognition and gaze-tracking surveillance system with a Tkinter GUI. Built using OpenCV, dlib, and face_recognition, it detects known and unknown individuals, tracks gaze direction, and flags suspicious activity.

🔧 Features

• ✅ Save and register known faces via GUI
• Real-time face detection and identification
• Eye gaze tracking using facial landmarks (dlib)
• 🚨 Flags and pauses on 5 off-focus gaze violations
• Saves session metadata and violation snapshots
• Tkinter-based GUI for easy control and visualization
• 🗂️ Saves frame-by-frame recordings in session folders

🖥️ Interface

• SAVE FACE – Captures and registers a new known face.
• START – Begins surveillance session.
• STOP – Stops surveillance without closing the app.
• RESUME – Manually resumes after 5 gaze-off violations.
• EXIT – Safely closes the app and saves session data.

FOLDER STRUCTURES

facedetection/
├── known_faces/                  # saved known faces
│   └── JOHN.jpg
├── sessions/
│   └── 2025-05-12_1510/
│       ├── frame_00001.jpg
│       ├── unknown_151202.jpg
│       ├── gaze_violation_151310.jpg
│       └── metadata.json

⚙️ Installation

Using pip:

pip install face_recognition dlib opencv-python numpy Pillow Using conda:

conda install -c conda-forge face_recognition dlib opencv numpy pillow Note: You must also download the facial landmarks model.

📥 Required File

Place the following file in the same directory as your Python script:

shape_predictor_68_face_landmarks.dat

📎 Download: https://github.com/davisking/dlib-models/raw/master/shape_predictor_68_face_landmarks.dat

🚀 Usage

Run the application:

face detect.ipynb