Recent development of crowd monitoring technology solution for Covid-19 prevention at airport terminal
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Universiti Malaysia Perlis (UniMAP)
2022
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my.unimap-752102022-05-13T07:10:32Z Recent development of crowd monitoring technology solution for Covid-19 prevention at airport terminal N., Fadzil N. H., Abu Bakar S. M., Idrus A. I., Azmi S. H., Mohammad N., Ali sevia@utm.my Crowd Monitoring, Covid-19 Machine learning Thermal Detection Image Processing Link to publisher's homepage at http://ijneam.unimap.edu.my Public social distancing has been a great concern for the worldwide community as the World Health Organization (WHO) has declared the COVID-19 pandemic as a Public Health Emergency of International Concern (PHEIC). With regards to this global issue, this paper will share the latest commercially available solution and technology on crowd monitoring systems to determine the number of people in confined and crowded spaces at airport terminals which may have the potential for contagious diseases infection. Estimation of crowd dynamics is essential for crowd monitoring to ensure public safety by reducing the possibility of being infected by the COVID-19 virus. In this report a number of commercial and under development crowd monitoring products are reviewed and presented. Research and development of crowd monitoring technology is increasingly demanding to monitor crowds at strategic locations such as entry and exit points of closed areas to ensure public safety and to control the pandemic. In particular for the strategic area at the airport terminal, an efficient crowd monitoring solution is expected to support huge data collection and real time analysis, as well as providing online monitoring of crowds based on non-contact sensors for movement counting to restrain COVID-19 outbreaks. 2022-05-13T07:10:31Z 2022-05-13T07:10:31Z 2021-12 Article International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 227-236 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75210 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP) |
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Malaysia |
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| language |
English |
| topic |
Crowd Monitoring, Covid-19 Machine learning Thermal Detection Image Processing |
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Crowd Monitoring, Covid-19 Machine learning Thermal Detection Image Processing N., Fadzil N. H., Abu Bakar S. M., Idrus A. I., Azmi S. H., Mohammad N., Ali Recent development of crowd monitoring technology solution for Covid-19 prevention at airport terminal |
| description |
Link to publisher's homepage at http://ijneam.unimap.edu.my |
| author2 |
sevia@utm.my |
| author_facet |
sevia@utm.my N., Fadzil N. H., Abu Bakar S. M., Idrus A. I., Azmi S. H., Mohammad N., Ali |
| format |
Article |
| author |
N., Fadzil N. H., Abu Bakar S. M., Idrus A. I., Azmi S. H., Mohammad N., Ali |
| author_sort |
N., Fadzil |
| title |
Recent development of crowd monitoring technology solution for Covid-19 prevention at airport terminal |
| title_short |
Recent development of crowd monitoring technology solution for Covid-19 prevention at airport terminal |
| title_full |
Recent development of crowd monitoring technology solution for Covid-19 prevention at airport terminal |
| title_fullStr |
Recent development of crowd monitoring technology solution for Covid-19 prevention at airport terminal |
| title_full_unstemmed |
Recent development of crowd monitoring technology solution for Covid-19 prevention at airport terminal |
| title_sort |
recent development of crowd monitoring technology solution for covid-19 prevention at airport terminal |
| publisher |
Universiti Malaysia Perlis (UniMAP) |
| publishDate |
2022 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75210 |
| _version_ |
1738511720053211136 |
| score |
13.222552 |