VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1011
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nguyen Huu Binh | en_US |
dc.date.accessioned | 2021-03-24T08:31:05Z | - |
dc.date.available | 2021-03-24T08:31:05Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://epub.vgu.edu.vn/handle/dlibvgu/1011 | - |
dc.description.abstract | In 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.iso | en | en_US |
dc.subject | Real-time object | en_US |
dc.subject | Raspberry Pi | en_US |
dc.subject | Real-time applications | en_US |
dc.title | Object detection algorithms and assessing scenarios of architectures for realtime object detection task | en_US |
dc.type | Thesis | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | other | - |
Appears in Collections: | Mechatronics & Sensor Systems Technology (MSST) |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
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Object detection algorithms and assessing scenarios of architectures for realtime object detection task.pdf | 14.54 MB | Adobe PDF |
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