HOME SECURITY SYSTEM

Video Demo

Table of Contents

1. About The Project
   • Salient Features
   • Built With
   • Compatible Platforms
Getting Started
• Prerequisites
• Installation
2. Navigating through the App

About The Project

• Face Recognition Security System project built during Microsoft Engage 2022 program.
• This programme processes frames from live video and compares detected faces against a set of known face encodings.
• If there is no match found, the person is considered to be an intruder and an email is sent with an image of the intruder by invoking a shell script..

Salient Features

• Real Time Security
• It deals with non frontal face detection.
• Identify unknown persons that are not registered and send notifications via emails with current date and time.

Built With

Tech Stack:

• Front-end : HTML5, CSS3,Javascript, Bootstrap
• Back-end : Flask, Python
• Face Recogntion library: Opencv, cv2, os, sys, face_recognition

Compatible Platforms

Laptops, Desktops and Tablet PCs

Getting Started

To install and run the project on your local system, following are the requirements:

Prerequisites

The requirements.txt file should list all Python libraries that your notebooks depend on, and they will be installed using:

pip install -r requirements.txt

Instruction

To run the application run the command

  python app.py

• Web Application

To separately run the Web application on your local host, perform the following steps:

Run the following commands to start the server side.

  npm install && npm start

Run the following commands to start the client side and run it on your local host

  cd templates

  node index.js

Features & Interfaces (Glimpses of Web Application):

Landing page

Performing Face Recognition

This programme processes frames from live video and compares detected faces against a set of known face encodings.

Untitled.design.1.mp4

Services