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Title: | Object detection algorithms and assessing scenarios of architectures for realtime object detection task | Authors: | Nguyen Huu Binh | Keywords: | Real-time object;Raspberry Pi;Real-time applications | Issue Date: | 2020 | 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. |
URI(1): | http://epub.vgu.edu.vn/handle/dlibvgu/1011 |
Appears in Collections: | Mechatronics & Sensor Systems Technology (MSST) |
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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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