Monitoring Social Distancing Compliance Using Image Processing Algorithm
Since the outbreak in December 2019, Malaysia has been in the throes of the Covid-19 pandemic, which has had a particularly enormous impact on both the country and the people. Although the government has actively constructed a set of effective standard operating procedures (SOP) to ease the epidemic...
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| Format: | Article |
| Language: | English English |
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INTI International University
2022
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1638/ http://eprints.intimal.edu.my/1638/1/ij2022_24r.pdf http://eprints.intimal.edu.my/1638/2/162 |
| _version_ | 1848766942705352704 |
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| author | Lai, Yi Lun Deshinta, Arrova Dewi |
| author_facet | Lai, Yi Lun Deshinta, Arrova Dewi |
| author_sort | Lai, Yi Lun |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Since the outbreak in December 2019, Malaysia has been in the throes of the Covid-19 pandemic, which has had a particularly enormous impact on both the country and the people. Although the government has actively constructed a set of effective standard operating procedures (SOP) to ease the epidemic, such as wearing masks, washing hands often, and maintaining social distance, these have had little effect, and the pandemic continues to grow. As a result, many people have been unable to maintain social distance, allowing the disease to spread to others. According to this viewpoint, a social distancing monitoring system could be a useful tool for monitoring and reminding people to maintain adequate social distance in real time. This system allows for real-time video and CCTV surveillance, as well as effective distance analysis to determine whether the effective social distance has been attained. This strategy can also be used in a variety of venues, including school cafeterias, malls, public spaces, and so on. Otherwise, because shopping malls have a lot of CCTV cameras, the technology can also be deployed there. When a site has a significant number of people but no social distance between them, the system will warn management to improve the location's security measures. |
| first_indexed | 2025-11-14T11:56:47Z |
| format | Article |
| id | intimal-1638 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:59:10Z |
| publishDate | 2022 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-16382025-07-24T01:36:42Z http://eprints.intimal.edu.my/1638/ Monitoring Social Distancing Compliance Using Image Processing Algorithm Lai, Yi Lun Deshinta, Arrova Dewi QA75 Electronic computers. Computer science T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Since the outbreak in December 2019, Malaysia has been in the throes of the Covid-19 pandemic, which has had a particularly enormous impact on both the country and the people. Although the government has actively constructed a set of effective standard operating procedures (SOP) to ease the epidemic, such as wearing masks, washing hands often, and maintaining social distance, these have had little effect, and the pandemic continues to grow. As a result, many people have been unable to maintain social distance, allowing the disease to spread to others. According to this viewpoint, a social distancing monitoring system could be a useful tool for monitoring and reminding people to maintain adequate social distance in real time. This system allows for real-time video and CCTV surveillance, as well as effective distance analysis to determine whether the effective social distance has been attained. This strategy can also be used in a variety of venues, including school cafeterias, malls, public spaces, and so on. Otherwise, because shopping malls have a lot of CCTV cameras, the technology can also be deployed there. When a site has a significant number of people but no social distance between them, the system will warn management to improve the location's security measures. INTI International University 2022-07 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1638/1/ij2022_24r.pdf text en cc_by_4 http://eprints.intimal.edu.my/1638/2/162 Lai, Yi Lun and Deshinta, Arrova Dewi (2022) Monitoring Social Distancing Compliance Using Image Processing Algorithm. INTI JOURNAL, 2022 (24). ISSN e2600-7320 https://intijournal.intimal.edu.my/intijournal.htm |
| spellingShingle | QA75 Electronic computers. Computer science T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Lai, Yi Lun Deshinta, Arrova Dewi Monitoring Social Distancing Compliance Using Image Processing Algorithm |
| title | Monitoring Social Distancing Compliance Using Image Processing Algorithm |
| title_full | Monitoring Social Distancing Compliance Using Image Processing Algorithm |
| title_fullStr | Monitoring Social Distancing Compliance Using Image Processing Algorithm |
| title_full_unstemmed | Monitoring Social Distancing Compliance Using Image Processing Algorithm |
| title_short | Monitoring Social Distancing Compliance Using Image Processing Algorithm |
| title_sort | monitoring social distancing compliance using image processing algorithm |
| topic | QA75 Electronic computers. Computer science T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.intimal.edu.my/1638/ http://eprints.intimal.edu.my/1638/ http://eprints.intimal.edu.my/1638/1/ij2022_24r.pdf http://eprints.intimal.edu.my/1638/2/162 |