Project Design and Implementation of Face Recognition, Fever Detection, and Attendance Record Based on Sensing Technology Article Swipe
Minchuan Huang
,
I‐Ping Chen
,
Hsiang-Lin Huang
,
Shih-Fu Sung
,
Aiguo Wang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.18494/sam.2021.3203
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.18494/sam.2021.3203
We applied sensing principles using sensing technology, redeveloped efficient software using its standardized methods, and expanded the use of networks.The sensing principle and sensing technology can be applied to research and analysis in business processes such as facial recognition, body temperature testing, and automated attendance recording of web technology.On the basis of the results of market demand analysis, we successfully proposed a system to simplify the design, demonstrating the various functions of the attendance recognition software based on web technology.The new system avoids the deficiencies of the old system, making it more innovative.We used software such as HTML, CSS, JS, Django, MySQL, and WeChat programs among multiple frameworks and developments for our system, and used MySQL to store employee facial information, basic personal information, attendance records, personal temperature test results, and health records.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18494/sam.2021.3203
- https://sensors.myu-group.co.jp/sm_pdf/SM2573.pdf
- OA Status
- gold
- Cited By
- 6
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3171066625
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3171066625Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18494/sam.2021.3203Digital Object Identifier
- Title
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Project Design and Implementation of Face Recognition, Fever Detection, and Attendance Record Based on Sensing TechnologyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2021Year of publication
- Publication date
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2021-05-31Full publication date if available
- Authors
-
Minchuan Huang, I‐Ping Chen, Hsiang-Lin Huang, Shih-Fu Sung, Aiguo WangList of authors in order
- Landing page
-
https://doi.org/10.18494/sam.2021.3203Publisher landing page
- PDF URL
-
https://sensors.myu-group.co.jp/sm_pdf/SM2573.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://sensors.myu-group.co.jp/sm_pdf/SM2573.pdfDirect OA link when available
- Concepts
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Attendance, Computer science, Facial recognition system, Face (sociological concept), Face detection, Artificial intelligence, Machine learning, Pattern recognition (psychology), Political science, Sociology, Law, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 2, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.basic | 121 |
| abstract_inverted_index.basis | 50 |
| abstract_inverted_index.store | 117 |
| abstract_inverted_index.using | 4, 10 |
| abstract_inverted_index.MySQL, | 101 |
| abstract_inverted_index.WeChat | 103 |
| abstract_inverted_index.avoids | 82 |
| abstract_inverted_index.demand | 56 |
| abstract_inverted_index.facial | 37, 119 |
| abstract_inverted_index.health | 131 |
| abstract_inverted_index.making | 89 |
| abstract_inverted_index.market | 55 |
| abstract_inverted_index.system | 62, 81 |
| abstract_inverted_index.Django, | 100 |
| abstract_inverted_index.applied | 1, 27 |
| abstract_inverted_index.design, | 66 |
| abstract_inverted_index.results | 53 |
| abstract_inverted_index.sensing | 2, 5, 20, 23 |
| abstract_inverted_index.system, | 88, 112 |
| abstract_inverted_index.various | 69 |
| abstract_inverted_index.analysis | 31 |
| abstract_inverted_index.business | 33 |
| abstract_inverted_index.employee | 118 |
| abstract_inverted_index.expanded | 15 |
| abstract_inverted_index.methods, | 13 |
| abstract_inverted_index.multiple | 106 |
| abstract_inverted_index.personal | 122, 126 |
| abstract_inverted_index.programs | 104 |
| abstract_inverted_index.proposed | 60 |
| abstract_inverted_index.records, | 125 |
| abstract_inverted_index.records. | 132 |
| abstract_inverted_index.research | 29 |
| abstract_inverted_index.results, | 129 |
| abstract_inverted_index.simplify | 64 |
| abstract_inverted_index.software | 9, 75, 94 |
| abstract_inverted_index.testing, | 41 |
| abstract_inverted_index.analysis, | 57 |
| abstract_inverted_index.automated | 43 |
| abstract_inverted_index.efficient | 8 |
| abstract_inverted_index.functions | 70 |
| abstract_inverted_index.principle | 21 |
| abstract_inverted_index.processes | 34 |
| abstract_inverted_index.recording | 45 |
| abstract_inverted_index.attendance | 44, 73, 124 |
| abstract_inverted_index.frameworks | 107 |
| abstract_inverted_index.principles | 3 |
| abstract_inverted_index.technology | 24 |
| abstract_inverted_index.recognition | 74 |
| abstract_inverted_index.redeveloped | 7 |
| abstract_inverted_index.technology, | 6 |
| abstract_inverted_index.temperature | 40, 127 |
| abstract_inverted_index.deficiencies | 84 |
| abstract_inverted_index.developments | 109 |
| abstract_inverted_index.information, | 120, 123 |
| abstract_inverted_index.networks.The | 19 |
| abstract_inverted_index.recognition, | 38 |
| abstract_inverted_index.standardized | 12 |
| abstract_inverted_index.successfully | 59 |
| abstract_inverted_index.demonstrating | 67 |
| abstract_inverted_index.innovative.We | 92 |
| abstract_inverted_index.technology.On | 48 |
| abstract_inverted_index.technology.The | 79 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.80723575 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |