Automatic Face Mask Detection and Violation of Social Distancing Application
- DOI
- 10.2991/978-94-6463-094-7_34How to use a DOI?
- Keywords
- Social distancing violation; mask and head count detection; Euclidean analysis
- Abstract
Ever since worldwide COVID-19 epidemic, social distancing has been prioritised and advised to practice everywhere on a daily basis. It has been and will continue to be one of the most efficient and effective measures to fight the pandemic and saving lives. In Malaysia, social distancing is a proactive action to minimize the spread of COVID-19 among human beings. No matter we are staying indoor or outdoor, a tolerable distance among each other will save ourselves and others. However, there are a lot of constraints to govern the violation of social distancing manually. In this research, an automatic detection of the violation of social distancing is proposed to create a healthier environment. The proposed research could be conducted in public places or confined places. Particularly, a security camera combined with another camera is used to monitor the social distancing in a confined area. Social distancing violation will be detected using Euclidean distance analysis.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jordan Pang Min Han AU - Chuan-Chin Teo AU - Han-Foon Neo PY - 2022 DA - 2022/12/27 TI - Automatic Face Mask Detection and Violation of Social Distancing Application BT - Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022) PB - Atlantis Press SP - 439 EP - 447 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-094-7_34 DO - 10.2991/978-94-6463-094-7_34 ID - Han2022 ER -