Week 11: Robot Hardware Building and the Implementation of Face Mask Detection

What we finished in these two weeks:

Hardware for the robots

We have used a tripod to hold the mobile camera. Figure 1&2 demonstrate the graphic design of the robot and how it actually looks like.
A 10 ft extension USB cable will be used to connect the camera and the computer
We estimated the observation distance between the robot and passengers. Between 1.3 meters to 1.5 meters, the robot is able to observe two passengers at once.

Figure 1: The hardware design of face mask detection robot

Figure 2: How the robot looks like in reality

Implementing the face mask detector

We applied the face mask detector designed by Chandrika Deb, which has a 98% accuracy for Face Mask Detection after training via TensorFlow-gpu==2.5.0
The framework used by the detector:

A short demo video of us testing the face mask detector can be found below.

Video 1: Testing the real-time video stream mask detecting

Reference:

https://github.com/chandrikadeb7/Face-Mask-Detection

Comments

Week 9: Project Literature Review & Methodology

L ITERATURE R EVIEW A. The Importance of Mask during COVID-19 In order to slow the spread of COVID-19, limiting physical distancing and using other measurements to decrease the transmission probability are necessary. According to J. Howard et al., if face masks were used by all household members prior to symptoms occurring, it has a 79% effective rate in preventing transmission. Besides, the states with mask mandates to require residents to wear a mask have a lower daily growth rate than those without. As a mask provides a physical barrier that reduces the spread of respiratory droplets and particles into the air, properly wearing a mask can protect the safety of everyone [1]. Figure 1 : The efficiency of mask in blocking the virus B. The Implementation of Mask Detection Robot Currently, mask and temperature detection robots have shown their important role in responding to the COVID-19 pandemic. The U

Week 7: Introduction

Project Introduction In December 2019, the first case of COVID-19 was discovered in Wuhan, China. As of March 11, 118M cases were reported worldwide. In order to help slow the spread of coronavirus, CDC recommends people wear masks in public settings. Starting from February 2, 2021, face masks are required in all forms of public transportation traveling , such as bus, train, and plane. To protect the safety of passengers, in this project, we plan to build a service robot that is able to check the mask-wearing in a public transportation scenario. The robot will act as a security patrol robot and identify the passenger without a face mask immediately. Photo: JEENAH MOON/BLOOMBERG NEWS Project Objectives The robot is able to scan passengers The robot is able to detect if passengers wear facemasks or not The robot is able to move towards the passengers without masks The robot is able to check passenger's temperature The Robot Flowchart Project Plan Week 7~8: Literature review o

Purdue [CNIT 581-SDR/ Spring 2021] Face Mask Detection Robot

Search This Blog