WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19

01/04/2021
by   Zekun Wang, et al.
18

The COVID-19 epidemic has been a significant healthcare challenge in the United States. According to the Centers for Disease Control and Prevention (CDC), COVID-19 infection is transmitted predominately by respiratory droplets generated when people breathe, talk, cough, or sneeze. Wearing a mask is the primary, effective, and convenient method of blocking 80 infections. Therefore, many face mask detection and monitoring systems have been developed to provide effective supervision for hospitals, airports, publication transportation, sports venues, and retail locations. However, the current commercial face mask detection systems are typically bundled with specific software or hardware, impeding public accessibility. In this paper, we propose an in-browser serverless edge-computing based face mask detection solution, called Web-based efficient AI recognition of masks (WearMask), which can be deployed on any common devices (e.g., cell phones, tablets, computers) that have internet connections using web browsers, without installing any software. The serverless edge-computing design minimizes the extra hardware costs (e.g., specific devices or cloud computing servers). The contribution of the proposed method is to provide a holistic edge-computing framework of integrating (1) deep learning models (YOLO), (2) high-performance neural network inference computing framework (NCNN), and (3) a stack-based virtual machine (WebAssembly). For end-users, our web-based solution has advantages of (1) serverless edge-computing design with minimal device limitation and privacy risk, (2) installation free deployment, (3) low computing requirements, and (4) high detection speed. Our WearMask application has been launched with public access at facemask-detection.com.

READ FULL TEXT

Authors

page 1

page 2

page 5

page 6

07/01/2020

Democratizing the Edge: A Pervasive Edge Computing Framework

The needs of emerging applications, such as augmented and virtual realit...
02/06/2021

BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices

Face masks have long been used in many areas of everyday life to protect...
11/30/2021

HRNET: AI on Edge for mask detection and social distancing

The purpose of the paper is to provide innovative emerging technology fr...
06/18/2021

V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing

As we move from 5G to 6G, edge computing is one of the concepts that nee...
10/01/2021

Mask or Non-Mask? Robust Face Mask Detector via Triplet-Consistency Representation Learning

In the absence of vaccines or medicines to stop COVID-19, one of the eff...
10/09/2020

Real-time Mask Detection on Google Edge TPU

After the COVID-19 outbreak, it has become important to automatically de...
06/01/2020

Understanding Uncertainty of Edge Computing: New Principle and Design Approach

Due to the edge's position between the cloud and the users, and the rece...

Code Repositories

mask-detector

Real-time video streaming mask detection based on Python. Designed to defeat COVID-19.


view repo
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.