Designing a cost effective method of enforcing mask wearing and collecting data on mask wearing to stop the spread of COVID-19


Summary

Abstract

The COVID-19 pandemic has had enormous effects on the health, safety, and well-being of the entire world population. Since the pandemic started in March, the importance of mask wearing has become utterly clear. In order for places like Washington University in St. Louis to continue in-person activities, mask wearing is a necessity. There is currently no easy way to enforce mask wearing and to collect data on mask wearing. Our Mask Monitor Module will solve both of these problems. The device consists of a Raspberry Pi, speaker, LED screen, and camera. The device will be indoors in a place where people frequently walk by, like a doorway. The device will take pictures of people and use a machine learning model loaded onto the Raspberry Pi to determine if the person is wearing a mask or not. If the person is not wearing a mask, the LED screen and speaker will instruct them to put on a mask. Data on the number of people that are masked and unmasked will be saved and displayed on a website. The Mask Monitor Module is an easy, inexpensive solution to enforcing mask wearing and collecting data on mask wearing. The device will help control the spread of COVID-19, thus minimizing the negative effects of COVID-19 on the health, safety, and well-being of people.

Group Members

Ben van der Sman: Systems Engineering Major, Minor in Computer Science, bvandersman@wustl.edu

Katie Cardwell: Systems Engineering and Supply Chain, katiecardwell@wustl.edu

Elizabeth Gikas: Systems Engineering Major, Minor in Computer Science, elizabethgikas@wustl.edu

Advisors

Professor Jim Feher: Electrical and Systems Engineering Department, jdfeher@wustl.edu

Professor Dorothy Wang: Electrical and Systems Engineering Department, dorothyw@wustl.edu