Mask Classification and Head Temperature Detection Combined with Deep Learning Networks

Isack Farady, Chih Yang Lin, Amornthep Rojanasarit, Kanatip Prompol, Fityanul Akhyar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

Due to the COVID-19 pandemic, wearing a mask is mandatory in public spaces, as properly wearing a mask offers a maximum preventive effect against viral transmission. Body temperature has also become an important consideration in determining whether an individual is healthy. In this work, we design a real-Time deep learning model to meet current demand to detect the mask-wearing position and head temperature of a person before he or she enters a public space. In this experiment, we use a deep learning object detection method to create a mask position and head temperature detector using a popular one-stage object detection, RetinaNet. We build two modules for the RetinaNet model to detect three categories of mask-wearing positions and the temperature of the head. We implement an RGB camera and thermal camera to generate input images and capture a person's temperature respectively. The output of these experiments is a live video that carries accurate information about whether a person is wearing a mask properly and what his or her head temperature is. Our model is light and fast, achieving a confidence score of 81.31% for the prediction object and a prediction speed below 0. 1s/image.

Original languageEnglish
Title of host publication2020 2nd International Conference on Broadband Communications, Wireless Sensors and Powering, BCWSP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages74-78
Number of pages5
ISBN (Electronic)9781728174495
DOIs
StatePublished - 28 Sep 2020
Event2nd International Conference on Broadband Communications, Wireless Sensors and Powering, BCWSP 2020 - Yogyakarta, Indonesia
Duration: 28 Sep 202030 Sep 2020

Publication series

Name2020 2nd International Conference on Broadband Communications, Wireless Sensors and Powering, BCWSP 2020

Conference

Conference2nd International Conference on Broadband Communications, Wireless Sensors and Powering, BCWSP 2020
Country/TerritoryIndonesia
CityYogyakarta
Period28/09/2030/09/20

Keywords

  • RetinaNet
  • deep learning
  • neural network
  • object detection

Fingerprint

Dive into the research topics of 'Mask Classification and Head Temperature Detection Combined with Deep Learning Networks'. Together they form a unique fingerprint.

Cite this