Please use this identifier to cite or link to this item: https://publication.npru.ac.th/jspui/handle/123456789/1663
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dc.contributor.authorTubtimkeaw, Pavarit-
dc.contributor.authorSirisukpoca, Ubonrat-
dc.contributor.authorSimalaotao, Paisan-
dc.date.accessioned2022-08-19T16:42:45Z-
dc.date.available2022-08-19T16:42:45Z-
dc.date.issued2022-07-08-
dc.identifier.urihttps://publication.npru.ac.th/jspui/handle/123456789/1663-
dc.description.abstractThe objectives of this research are: 1) to analyze, design and develop an intelligent information system to screen the wearing of masks by machine learning combined with the internet of things, and 2) to determine the effectiveness of the development of intelligent information system to screen the wearing of masks by machine learning combined with the internet of things. Data used in machine learning are 700 pictures of faces of people without masks, 750 pictures of faces of people wearing masks. The research tools consisted of development tools, experimental tool and data collecting tool. Development tools include the arduino IDE teachable machine and visual studio code. Experimental tool is the intelligent information system to screen the wearing of masks by machine learning combined with the internet of things developed with HTML, JavaScript, CSS, and C++. Data collecting tool is system efficiency evaluation form. Research methodology can be classified into 6 steps: 1) preliminary study, 2) system requirements determination, 3) system design, 4) system development, 5) system testing, and 6) system evaluation by three purposively selected experts. The findings from this research are: 1) the intelligent information system to screen the wearing of masks by machine learning combined with the internet of things can be performed well, and 2) the efficiency of the proposed system evaluated by three experts is in highest level (x =4.74, S.D.=0.33).en_US
dc.publisherThe 14th NPRU National Academic Conference Nakhon Pathom Rajabhat Universityen_US
dc.subjectWeb Applicationen_US
dc.subjectInternet of Thingsen_US
dc.subjectCOVID-19en_US
dc.subjectMachine Learningen_US
dc.titleDevelopment of Intelligent Information System to Screen the Wearing of Masks by Machine Learning Combined with the Internet of Thingsen_US
dc.title.alternativeการพัฒนาระบบสารสนเทศอัจฉริยะเพื่อคัดกรองการสวมหน้ากากอนามัยโดยการตรวจจับใบหน้า ด้วยการเรียนรู้ของเครื่องร่วมกับอินเทอร์เน็ตของสรรพสิ่งen_US
Appears in Collections:Proceedings of the 14th NPRU National Academic Conference

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