Created by Yadav, Siddant, last modified on Feb 22, 2022
NameNetIDSection
Phillip Xiepx4ECE 120
Brian Kimbrianhk2ECE 110
Siddant Yadavsky2ECE 120


Statement of Purpose

Our project utilizes computer vision to detect whether a person is wearing a mask or not. Based on whether they are an action will be performed. If they aren’t wearing a mask our device will dispense a mask for them. 

This project’s applications are that these cheap devices can be placed in multiple areas across the university campus or even various places, to ensure that everyone is following proper mask procedures to help us stay safe during the pandemic.

Background Research

Our project will consist of three key parts: face detection, mask detection, and a mask dispenser. The device we will be primarily utilizing (raspberry pi camera module) will need to detect the presence of an individual's face. Once the face has been detected, our software will continue analyzing the individual’s face to check for a mask. If the software fails to detect a mask, our mask dispenser will dispense a single mask.

The benefits of building a small, cheap mask detector is quite necessary especially in today’s status quo. With the introduction of the Omnicron variant, those spending most of their time indoors need to wear masks to prevent the spread of this virus. By dispensing masks to those without one, we can do our part to fight the virus – for just under $100.

Block Diagram / Flow Chart

System Overview

A breakdown of our detection system consists of computer vision where we will design and train an algorithm in order to check for whether a mask is present. The part breakdown consists of a Raspberry Pi and Raspberry Pi camera module. In regards to our interaction with the user, we have two actions: one where a mask dispenses if a mask isn’t detected and another where a green flag raises for the mask detected.

Parts

PartsQuantityPurposeVendorPrice
Raspberry Pi1

To act as the main computer for our project. Runs the computer vision algorithm

N/AAlready Owned

Raspberry Pi Camera Module

1

To allow our computer system to “see”. Serves to send a video feed to the raspberry pi for processing

https://www.walmart.com/ip/Raspberry-Pi-Camera-Module-5MP-1080p-Webcam-OV5647-Sensor-Adjustable-Focus-Len/192013270?wmlspartner=wlpa&selectedSellerId=18988&&adid=22222222227000000000&wl0=&wl1=g&wl2=c&wl3=42423897272&wl4=aud-393207457166:pla-51320962143&wl5=9022185&wl6=&wl7=&wl8=&wl9=pla&wl10=125210027&wl11=online&wl12=192013270&veh=sem&gclid=CjwKCAiAsNKQBhAPEiwAB-I5zVid6aNJj4cejErokRefRlfNYvdjfJ3QnqdNURa7evVp2DXW3F6SkBoC7sEQAvD_BwE&gclsrc=aw.ds$12.35
Arduino1

To control our servos and interact with the computer vision algorithm with the raspberry pi.

ECE Supply Center$18.99
Servo2

To dispense a mask and to raise the green flag if they are wearing one

https://www.adafruit.com/product/2307$11.95
3D printing filament1

To 3D print our mask container and dispenser systems

https://hobbyking.com/en_us/hobbyking-3d-printer-filament-1-75mm-pla-1kg-spool-magenta.html?queryID=afcc24a11d2feb797c758ddbe2dccadb&objectID=77782&indexName=hbk_live_products_analytics$22.99


Possible Challenges

  1. Establishing a connection between the raspberry pi and arduino could be an issue as we have no experience working with both of them simultaneously. 

  2. Designing our mask dispenser is a serious concern as of now because we have no idea how to make a system to dispense a mask easily. 

References

https://circuitdigest.com/microcontroller-projects/face-mask-detection-using-raspberry-pi-and-opencv

Attachments:

Screen Shot 2022-02-22 at 5.28.28 PM.png (image/png)
Screen Shot 2022-02-22 at 5.31.47 PM.png (image/png)

Comments:

Approved. Team #24.
Posted by shomikc2 at Feb 28, 2022 15:23