基于OpenCV的嵌入式婴儿视频监控系统的研究与设计
发布时间:2018-06-19 21:17
本文选题:嵌入式 + 视频监控 ; 参考:《暨南大学》2012年硕士论文
【摘要】:近几年嵌入式技术得到了迅猛的发展,其应用领域也趋于多样化。这一切的发展源自半导体工业领域的持续发展与操作系统的不断更新与完善,摩尔定律目前在该领域依旧适用。 随着性能日益强大的嵌入式系统硬件的发展,过去一些嵌入式无法实现的功能现在成为可能。对于曾经PC机才能处理的多媒体领域,,目前的嵌入式系统同样能够达到指标,因此,基于嵌入式的视频监控与图像识别结合嵌入式系统的自身优点是一种高灵活度、低成本的解决方案。 本次设计采用了时下流行的ARM处理器作为嵌入式系统的CPU,通过多方面的考虑,采用了三星的S3C6410处理器,该处理器基于ARM11的体系结构。同时为了在有限的时间内达到理想的设计效果,采用了友善之臂公司的tiny6410开发板进行二次开发。开发的的内容主要有:系统硬件和软件开发平台的搭建、嵌入式操作系统Linux的选择与移植、OpenCV库的移植与配置、监控程序的开发与调试等。设计过程中也考虑到了视频监控系统的可扩展性,使其能够对婴儿的行为进行监控的同时也能通过加载其它模块,实现更多的监控功能,为后续开发提供便利。 在论文的结尾给出了系统的测试结果,表明系统达到了设计所要求的功能。也指出了当前设计存在的一些不足,并对该领域的前景做了合理的分析。
[Abstract]:In recent years, embedded technology has been rapid development, its application field also tends to diversification. All these developments come from the continuous development of semiconductor industry and the continuous updating and improvement of operating system. Moore's law is still applicable in this field. With the development of embedded system hardware, it is now possible to realize some functions that were impossible to implement in embedded system. The current embedded system can also reach the target for the multimedia field which has been processed by PC. Therefore, the embedded system based on embedded video surveillance and image recognition has the advantages of high flexibility. Low cost solutions. In this design, the popular arm processor is used as the embedded system CPU. Through various considerations, the Samsung S3C6410 processor is adopted, which is based on the architecture of ARM11. At the same time, in order to achieve the ideal design effect in a limited time, the tiny6410 development board of friendly arm Company is used for secondary development. The main contents of the development are as follows: the construction of system hardware and software development platform, the selection of embedded operating system Linux and the transplant and configuration of OpenCV library, the development and debugging of monitor program, etc. In the design process, the scalability of the video surveillance system is also taken into account, so that it can monitor the behavior of the baby, but also through loading other modules to achieve more monitoring functions, and provide convenience for the subsequent development. At the end of the thesis, the test results of the system are given, which show that the system achieves the function required by the design. Some shortcomings of current design are also pointed out, and the prospect of this field is analyzed reasonably.
【学位授予单位】:暨南大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:TP368.1;TP277
【引证文献】
相关硕士学位论文 前1条
1 韩冰冰;嵌入式人脸检测与识别系统的研究与实现[D];大连海事大学;2013年
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