Face Detection System

This project implements a simple face and eye detection system using OpenCV in Python. It uses Haar Cascades to detect faces and eyes in real-time through a webcam feed.

Installation (phase 1 and 2)

Install the required Python packages:

pip install opencv-python numpy

Usage (phase 1 and 2)

To run the face detection system, execute the following command in the root directory of the project:

python detection.py

Ensure your webcam is enabled and properly configured as the application uses the default camera device.

Phase 1

The project has successfully passed phase 1, including the detection of objects in one camera device.

Phase 2: Dual Camera Support

Second phase completed, we plan to enhance the system to support simultaneous detection using three diffrent camera devices (integrated,external,network). This will allow for more robust face detection in diverse scenarios.

Phase 3: Gathering and displaying LAN Streams on a central Machine

In this phase,each machine should run a script to stream its camera feed using a simple HTTP flask server .Finally ,The central machine will run a script to collect these streams and display them in a single window

Installation

Camera server machines

pip install opencv-python flask

Central Machine

pip install opencv-python numpy

Usage

Streaming Script(camera_server.py)

python camera_server.py

On the central machine (client.py)

python client.py