An Automated Face-mask Detection System using YOLOv5 for Preventing Spread of COVID-19 Article Swipe
Md. Asifuzzaman Jishan
,
Md Shahabub Alam
,
Imran Rashid Mazumder
,
Khan Raqib Mahmud
,
Abul Kalam Al Azad
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.47839/ijc.22.1.2880
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.47839/ijc.22.1.2880
Object detection systems based on deep learning have been immensely successful incomplex object detection tasks images and have shown potential in a wide range of real-life applicationsincluding the COVID-19 pandemic. One of the key challenges in containing and mitigating the infectionamong the population is to ensure and enforce the proper use of face masks. The objective of this paperis to detect the proper use of facial masks among the urban population in a megacity. In this study, wetrained and validated a new dataset to detect images such as ‘with mask’, ‘without mask’, and ‘masknot in position’ using YOLOv5. The dataset is comprised of 6550 images with the three classes. Thedataset attained a commendable performance accuracy of 95% on mAP. This study can be implementedfor automated scanning for monitoring the proper use of face masks in different settings of public spaces.
Related Topics
Concepts
Coronavirus disease 2019 (COVID-19)
Artificial intelligence
Computer science
Computer vision
Face masks
Face (sociological concept)
Population
Range (aeronautics)
Face detection
Object detection
Position (finance)
Facial recognition system
Pattern recognition (psychology)
Engineering
Medicine
Business
Environmental health
Infectious disease (medical specialty)
Social science
Finance
Pathology
Sociology
Disease
Aerospace engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.47839/ijc.22.1.2880
- https://computingonline.net/computing/article/view/2880/1083
- OA Status
- diamond
- Cited By
- 1
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4362469947
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4362469947Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.47839/ijc.22.1.2880Digital Object Identifier
- Title
-
An Automated Face-mask Detection System using YOLOv5 for Preventing Spread of COVID-19Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-29Full publication date if available
- Authors
-
Md. Asifuzzaman Jishan, Md Shahabub Alam, Imran Rashid Mazumder, Khan Raqib Mahmud, Abul Kalam Al AzadList of authors in order
- Landing page
-
https://doi.org/10.47839/ijc.22.1.2880Publisher landing page
- PDF URL
-
https://computingonline.net/computing/article/view/2880/1083Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://computingonline.net/computing/article/view/2880/1083Direct OA link when available
- Concepts
-
Coronavirus disease 2019 (COVID-19), Artificial intelligence, Computer science, Computer vision, Face masks, Face (sociological concept), Population, Range (aeronautics), Face detection, Object detection, Position (finance), Facial recognition system, Pattern recognition (psychology), Engineering, Medicine, Business, Environmental health, Infectious disease (medical specialty), Social science, Finance, Pathology, Sociology, Disease, Aerospace engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- References (count)
-
37Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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