Please use this identifier to cite or link to this item: http://thuvienso.dut.udn.vn/handle/DUT/5990
DC FieldValueLanguage
dc.contributor.advisorTS. Nguyễn Lê Hòaen_US
dc.contributor.advisorDr. Arjon Turnipen_US
dc.contributor.authorNguyễn, Phú Thắngen_US
dc.contributor.authorLê, Xuân Anh Dũngen_US
dc.date.accessioned2025-04-19T08:19:12Z-
dc.date.available2025-04-19T08:19:12Z-
dc.date.issued2023-
dc.identifier.urihttp://thuvienso.dut.udn.vn/handle/DUT/5990-
dc.description39 tr.en_US
dc.description.abstractIn the complicated situation of covid-19 around the world, a group of students from Indonesia created a medical robot with many functions to help doctors in hospitals. Our team contributed to the development of facial recognition and mask detection software in an Indonesian student project. In this project, we propose the SVM (support vector machine) algorithm for analyzing image data and then train the robot to accurately recognize the test patterns contained in the image data. In addition, this project also uses python software to run codes for mask analysis as well as identification and detection. Thereby, we have obtained positive results such as identifying people through their images and detecting whether masks are being worn or not.en_US
dc.language.isoenen_US
dc.publisherTrường Đại học Bách Khoa - Đại học Đà Nẵngen_US
dc.subjectFacial recognitionen_US
dc.subjectMedical roboten_US
dc.titleFacial recognition using camera – Application for medical roboten_US
dc.typeĐồ ánen_US
dc.identifier.id2.DA.FA.23.105-
item.grantfulltextrestricted-
item.languageiso639-1en-
item.fulltextCó toàn văn-
item.openairetypeĐồ án-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:DA.Điện tử - Viễn thông
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