SoC Design of Hand Gesture Recognition with Deep Learning
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 106 === This thesis targets on SoC design of hand gesture recognition based on deep learning. By integrating a CNN accelerator into Xilinx Zynq-7000 SoC, we implement a full hand gesture recognition system onto SoC platform with ARM Cortex-A9 CPU. In software side, w...
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| Format: | Others |
| Language: | zh-TW |
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2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/zb7327 |
| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 106 === This thesis targets on SoC design of hand gesture recognition based on deep learning. By integrating a CNN accelerator into Xilinx Zynq-7000 SoC, we implement a full hand gesture recognition system onto SoC platform with ARM Cortex-A9 CPU.
In software side, we also provide a full solution include input image pre-processing about background removal and a pure C model of CNN computation for benchmarking the accelerator.
We analyze the problems and solutions when design a CNN accelerator by collecting related works about the CNN accelerator and providing the benchmark of our work for future studies.
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