On the use of Deep Learning Enabled Face Mask Detection for Access/Egress Control Using TensorFlow Lite Based Edge Deployment on a Raspberry Pi

Reenu Mohandas, Mangolika Bhattacharya, Mihai Penica, Karl Van Camp, Martin J. Hayes

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

Abstract

This paper presents a face mask detection system that can be easily retrofitted to a standalone Access and Egress control system and can be deployed using any Edge processing subsystem. In this work, the widely available Raspberry Pi is used incorporating novel TensorFlow lite based training methods to demonstrate the utility of the approach. This subsystem achieves real-time face mask detection with high accuracy of over 89% in face mask detection at a confidence level of greater than 90% with excellent detection speeds of less than 3ms. The performance of the Raspberry Pi based implementation compares very favorably with GPU desktop-based alternative approaches that require excellent real time cloud enabled communications. The system is shown to work robustly with minimal human intervention and can be easily deployed at entrance points to lab or other employee facilities where face masks are mandatory for employee safety. The proposed algorithm consists of a single stage object detector together with an adaptive training dataset. This dataset comprises a hybrid combination of locally collected training data together with publicly available datasets and it is shown to be most appropriate for the face mask detection use case at hand.

Original languageEnglish
Title of host publication2021 32nd Irish Signals and Systems Conference, ISSC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665434294
DOIs
Publication statusPublished - 10 Jun 2021
Event32nd Irish Signals and Systems Conference, ISSC 2021 - Athlone, Ireland
Duration: 10 Jun 202111 Jun 2021

Publication series

Name2021 32nd Irish Signals and Systems Conference, ISSC 2021

Conference

Conference32nd Irish Signals and Systems Conference, ISSC 2021
Country/TerritoryIreland
CityAthlone
Period10/06/2111/06/21

Keywords

  • Deep Learning
  • Edge Computing
  • Mask Detection
  • Raspberry Pi

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