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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