科技创新与应用2024，Vol.14Issue(3)：35-39,5.DOI:10.19981/j.CN23-1581/G3.2024.03.009
基于卷积神经网络的嵌入式视觉感知交互系统设计与实现
陶金 1王智勇 2林鸿生 1周怡伶1
作者信息
- 1. 海军士官学校,安徽 蚌埠 233012
- 2. 92682 部队,广东 湛江 524000
- 折叠
摘要
Abstract
In order to solve the problem that the speech intelligent assistant is unable to provide visual perception of the surrounding environment,a visual perception interaction system is designed and implemented in this paper.The basic structure of the system consists of speech recognition,voice playback,image acquisition,central processing control and other modules,with voice interaction,target detection and other functions.In this system,the special chip for speech recognition is selected,the convolutional neural network technology is used to complete the recognition,and the algorithm based on graph segmentation is used to segment the target.The experimental results show that the system has good performance and can realize visual perception of the surrounding environment and voice interaction.关键词
卷积神经网络/视觉感知/嵌入式/语音识别/图分割截块Key words
convolutional neural network/visual perception/embedded/speech recognition/image segmentation block分类
信息技术与安全科学引用本文复制引用
陶金,王智勇,林鸿生,周怡伶..基于卷积神经网络的嵌入式视觉感知交互系统设计与实现[J].科技创新与应用,2024,14(3):35-39,5.
