Face Recognition System (Dockerized)

This is a Dockerized face recognition system built as part of my learning journey into Docker and containerization. It uses OpenCV and face recognition libraries to detect and recognize known faces from a video stream or image.

📦 Project Structure

FACE-RECOGNITION-DOCKER/
├── known_faces/ # Folder to store reference images of known individuals
├── diagnostic.sh # Optional script for system checks or debugging
├── Dockerfile # Main Dockerfile for building the image
├── Dockerfile.backup # Backup version of the Dockerfile
├── docker-compose.yml # Compose file for managing the container
├── face_recognition_system.py # Main Python script for face recognition
├── setup.sh # Optional setup script
├── Docker Documentation.pdf # Learning notes/documentation reference

🚀 Getting Started

Prerequisites

• Docker
• Docker Compose
• Webcam (if using live capture)

Build the Docker Image

docker compose build

Run the Container

docker compose run face-recognition bash

Once inside the container:

python face_recognition_system.py

🔧 Configuration

• Place known faces (reference images) in the known_faces/ directory.
• Update the face_recognition_system.py script as needed for your use case.

🛠️ Technologies Used

• Python 3
• OpenCV
• face_recognition
• Docker
• Docker Compose

📘 Learning Notes

This repository includes a PDF file named Docker Documentation.pdf, which contains my personal notes and learning materials about Docker

---

Author:

Karan Sehgal VIT Vellore