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Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1011
DC FieldValueLanguage
dc.contributor.authorNguyen Huu Binhen_US
dc.date.accessioned2021-03-24T08:31:05Z-
dc.date.available2021-03-24T08:31:05Z-
dc.date.issued2020-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/1011-
dc.description.abstractIn this work a real-time object detection algorithm shall be implemented on a computing cluster (representing edge processing) and a single node (representing mobile device) by using a raspberry PI and a camera in combination with selected inference hardware. Then the differences as well as pros and cons need to be evaluated from the perspective of a user-application.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectReal-time objecten_US
dc.subjectRaspberry Pien_US
dc.subjectReal-time applicationsen_US
dc.titleObject detection algorithms and assessing scenarios of architectures for realtime object detection tasken_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
Appears in Collections:Mechatronics & Sensor Systems Technology (MSST)
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