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Wireless Personal Communications
Published in: Wireless Personal Communications 2/2018

24-01-2018

Design of Target Recognition System Based on Machine Learning Hardware Accelerator

Authors: Yu Li, Fengyuan Yu, Qian Cai, Meiyu Qian, Pengfeng Liu, Junwen Guo, Huan Yan, Kun Yuan, Juan Yu

Published in: Wireless Personal Communications | Issue 2/2018

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Abstract

Target recognition system based on machine learning has the problems of long delay, high power-consuming and high cost, which cause it difficult to be promoted in some small embedded devices. In order to develop a target recognition system based on machine learning that can be utilized in small embedded device, this paper analyzes the commonly used design process of target recognition, the training process of machine learning algorithms, and the working method of FPGA to accelerate the algorithm. In the end, it offers a new solution of target recognition system based on machine learning hardware accelerator. In the solution, the training process of target recognition algorithm based on machine learning is completed in GPU, and then the algorithm is porting to the logic part of SOC in the form of hardware accelerator. The solution be widely used in different needs of the target recognition scenario with the advantage of effectively reduce the system delay, power consumption, size.
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Metadata
Title
Design of Target Recognition System Based on Machine Learning Hardware Accelerator
Authors
Yu Li
Fengyuan Yu
Qian Cai
Meiyu Qian
Pengfeng Liu
Junwen Guo
Huan Yan
Kun Yuan
Juan Yu
Publication date
24-01-2018
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2018
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-5211-2

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