Index

• Team
• Preface
• Tools and Technologies
• Pre-requisites
• Mission
• Current Features
• Watch Our Demo
• Future Features

Team

• Cameron Beaulieu
• Evan Kilburn
• Brandon Ye
• Barrett Arbour

Preface

This project was created as part of the HackHer Hackathon through Queen's University. The design was built as an attempt to create a solution to a modern issue facing society, namely Covid-19

Tools and Technologies

Languages

• Python 3.8.6
• JavaScript
• CSS
• HTML

Frameworks

• Flask
• React

Library

• TensorFlow

Other

• Make Image Classifier
• Face Recognition 1.3.0
• Has only been tested for MacOS Terminal

Pre-requisites

Run The Following Before Running Program

• pip install "tensorflow~=2.0"
• pip install "tensorflow-hub[make_image_classifier]~=0.6"

Mission

Veil was developed in hopes of being able to identify those not wearing masks as to create a tool used to help stop the spread of covid. While this was implemented in a web app as a proof of concept, ultimately configuring it to work with real time video capture and integrating it with security cameras would give business a way to identify those not abiding by mask laws.

Current Features

• Image can be captured using laptop camera
• Image is processed to identify and isolate faces in seperate files
• Faces are processed through machine learning model to determine whether or not the person in the image is wearing a face mask
• The faces are displayed to the screen with an indication of whether or not they are wearing a face mask

Watch Our Demo

Demo Video

Future Features

• Train with a larger database to create a more accurate model that can handle more edge cases
• Change the image capturing to video capture allowing for real time calls to the model
• Train the model on improper mask use such as someone not covering their nose