An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic

01/05/2021
by   Moein Razavi, et al.
25

The COVID-19 pandemic has caused many shutdowns in different industries around the world. Sectors such as infrastructure construction and maintenance projects have not been suspended due to their significant effect on people's routine life. In such projects, workers work close together that makes a high risk of infection. The World Health Organization recommends wearing a face mask and practicing physical distancing to mitigate the virus's spread. This paper developed a computer vision system to automatically detect the violation of face mask wearing and physical distancing among construction workers to assure their safety on infrastructure projects during the pandemic. For the face mask detection, the paper collected and annotated 1,000 images, including different types of face mask wearing, and added them to a pre-existing face mask dataset to develop a dataset of 1,853 images. Then trained and tested multiple Tensorflow state-of-the-art object detection models on the face mask dataset and chose the Faster R-CNN Inception ResNet V2 network that yielded the accuracy of 99.8 Faster R-CNN Inception V2 to detect people. A transformation matrix was used to eliminate the camera angle's effect on the object distances on the image. The Euclidian distance used the pixels of the transformed image to compute the actual distance between people. A threshold of six feet was considered to capture physical distance violation. The paper also used transfer learning for training the model. The final model was applied on four videos of road maintenance projects in Houston, TX, that effectively detected the face mask and physical distance. We recommend that construction owners use the proposed system to enhance construction workers' safety in the pandemic situation.

READ FULL TEXT

page 3

page 4

page 5

research
10/05/2022

Facemask Detection to Prevent COVID-19 Using YOLOv4 Deep Learning Model

The on-going global Covid-19 pandemic has impacted everyone’s life. Worl...
research
03/16/2021

A Computer Vision System to Help Prevent the Transmission of COVID-19

The COVID-19 pandemic affects every area of daily life globally. To avoi...
research
06/10/2021

Face mask detection using convolution neural network

In the recent times, the Coronaviruses that are a big family of differen...
research
09/17/2020

Face Mask Detection using Transfer Learning of InceptionV3

The world is facing a huge health crisis due to the rapid transmission o...
research
03/11/2021

Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm

The COVID-19 virus has caused a global pandemic since March 2020. The Wo...
research
08/03/2022

Image-based Detection of Surface Defects in Concrete during Construction

Defects increase the cost and duration of construction projects. Automat...
research
04/20/2023

Social Distance Detection Using Deep Learning And Risk Management System

An outbreak of the coronavirus disease which occurred three years later ...

Please sign up or login with your details

Forgot password? Click here to reset