Face-mask detection Software

A tétel rövid nézete
dc.contributor.advisorKovács, Zita
dc.contributor.authorIllo, Abdulrahim Iliyasu
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2021-05-04T10:10:32Z
dc.date.available2021-05-04T10:10:32Z
dc.date.created2021-05-03
dc.description.abstractThe aim or goal of this thesis was to develop a software that can help reduce the spread of Covid-19 by detecting people not wearing face-mask in public areas. The coronavirus epidemic had a very huge impact on the world economy, private businesses, and teaching institutions. This thesis first examines a dataset of people with a mask and people without a mask and use it to train a model for detecting face mask on people’s face using machine learning. In the second stage, the model was tested with a sample of real images and videos, finally, a software with a graphical user interface was developed for use in public places. The thesis is composed of 3 chapters, each explaining different aspects of artificial intelligence algorithms.hu_HU
dc.description.courseComputer Sciencehu_HU
dc.description.degreeBSc/BAhu_HU
dc.format.extent44hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/308321
dc.language.isoenhu_HU
dc.subjectface-maskhu_HU
dc.subjectface-mask detection softwarehu_HU
dc.subjectmachine learninghu_HU
dc.subjectneural networkshu_HU
dc.subjectdeep learninghu_HU
dc.subjectArtificial Intelligencehu_HU
dc.subject.dspaceDEENK Témalista::Informatika::Számítógéptudományhu_HU
dc.titleFace-mask detection Softwarehu_HU
dc.title.subtitleA software for detecting Covid-19 face-maskhu_HU
dc.title.translatedA software for detecting Covid-19 face-maskhu_HU
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