Design of embedded acoustic image acquisition system for wireless sensor network

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-05-31 DOI:10.3233/JIFS-219106
Xiaoping Huang, Fan Wen, Wei Zhongxin
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Abstract

In recent years, with the development of communication technology, embedded computing technology and sensor technology, it has become increasingly mature. Micro sensors with sensing, computing and communication capabilities have appeared in large numbers and developed rapidly, making wireless sensor networks widely used. People put forward higher requirements for the accuracy, reliability and flexibility of the image acquisition system. The image transmission system using analog technology not only has low image quality, but also has a serious waste of system resources, is not easy to form a complex network structure, and has poor functional scalability. In view of the actual needs of the current image acquisition and wireless transmission system, based on embedded technology, image acquisition, processing technology and network transmission technology, this paper proposes and designs a low-cost, high-reliability embedded image acquisition and wireless transmission system. Experimental tests show that this system has reasonable design, high video coding efficiency, good image continuity, stable operation, and basically realizes the display, storage and playback functions of the collected video data. Improve the transmission rate of the system and reduce the distortion caused by compression in terms of image compression. At the same time, it supports multiple image resolutions, frame rate options and multiple video formats, and the system’s transmission rate can adapt to the state of the network. This design fulfills the basic requirements of an embedded image acquisition system based on network technology, and provides a good foundation for the next development of a gigabit network-based image acquisition system.
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无线传感器网络嵌入式声图像采集系统的设计
近年来,随着通信技术、嵌入式计算技术和传感器技术的发展,它已日趋成熟。具有传感、计算和通信能力的微型传感器大量出现并迅速发展,使无线传感器网络得到广泛应用。人们对图像采集系统的精度、可靠性和灵活性提出了更高的要求。采用模拟技术的图像传输系统不仅图像质量低,而且系统资源浪费严重,不易形成复杂的网络结构,功能可扩展性差。针对当前图像采集与无线传输系统的实际需求,本文基于嵌入式技术、图像采集、处理技术和网络传输技术,提出并设计了一种低成本、高可靠性的嵌入式图像采集与无线传输系统。实验测试表明,该系统设计合理,视频编码效率高,图像连续性好,运行稳定,基本实现了采集视频数据的显示、存储和回放功能。在图像压缩方面提高了系统的传输速率,减少了压缩造成的失真。同时,它支持多种图像分辨率、帧率选项和多种视频格式,系统的传输速率能够适应网络的状态。本设计实现了基于网络技术的嵌入式图像采集系统的基本要求,为下一步基于千兆网络的图像采集系统的开发奠定了良好的基础。
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
期刊介绍: The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
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