E-COV

E-COV is a desktop app that detects face, face mask, and alerts authorities of people not wearing face mask on prohibited areas. It uses a deep learning model to build the face and face mask detection, and a face recognition library to recognize people not wearing a face mask. It is built to slow down the spread of the Corona pandemic.

version 1.0.0

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites (Linux)

• Python

sudo add-apt-repository ppa:jonathonf/python-3.7
sudo apt-get update
sudo apt-get install python3.7

• pip3

sudo apt update
sudo apt install python3-pip

• Pyinstaller

pip3 install pyinstaller

Installing

For Development

1. Clone the Repo

    git clone https://github.com/jedisam/E-COV.git

2. cd into repo

   cd E-COV

3. Install Requirements

    pip3 install requirements.txt

4. Run the App

    flask run

To Package & Build

1. Build the Python app using pyinstaller (This might take some time).

    pyinstaller main.py

   Go into dist director and run the app

   cd dist/
   ./main

2. cd into Electron folder and install dependencies

    cd ../Electron && npm install

   For Linux

   npm run package-linux

   For Windows

   npm run package-win

   For Mac

   npm run package-mac

3. Run the Desktop app Get into the build directory (for linux)

   cd e-cov-linux-x64
   ./e-cov

Testing

   python3 test.py

Tools and Technologies used

• Deep learning
• Flask
• Pyinstaller
• Electron
• Node.Js (Email)
• Docker
• HTML, CSS
• Azure(Machine Learning Studio)

Authors

• Yididya Samuel Website