基于STM32的新型家用报警器的研究与实现

发布时间：2018-01-18 14:25

  本文关键词：基于STM32的新型家用报警器的研究与实现　出处：《燕山大学》2016年硕士论文　论文类型：学位论文

  更多相关文章： 视频监控 彩信 图像编码 STM32 运动检测 特征提取 μC/OS-Ⅱ GPRS

【摘要】：随着人们生活水平的日益提高,家庭安全问题已经越来越受到人们的重视。本文在分析了国内外家庭安防监控现状和已有的智能监控报警器的基础上,将图像处理与嵌入式技术相结合,设计了一款基于嵌入式平台的视频监控系统,利用GPRS无线技术、手机等实现对室内环境的远程监控。本文首先根据国内市场环境确定了系统设计的目的和原则,对系统整体进行了设计,介绍了系统硬件平台STM32的相关知识以及安防监控系统所采用的嵌入式技术、GPRS技术和图像处理技术等。其次,依据模块化的设计思想将整个嵌入式系统的硬件电路划分为三个模块,分别为主控模块、OV7725图像采集模块和GPRS无线通讯模块。介绍了各模块所采用芯片的特性以及与STM32之间的通信接口,并设计了电路原理图。再次,研究了安防监控中警情监测算法和JPG图像编码。针对本系统所采用的硬件平台设计了一种基于背景差分法和帧差法的运动检测算法,对图像连通域标记算法之一的两遍法进行了改良。在完成运动检测后,提取了运动目标形状特征,并依据长宽比与面积特征对警情做出判别。最后,实现了各硬件外设的驱动程序,将μC/OS-Ⅱ操作系统和FAT文件系统移植到STM32平台,实现了短信和彩信的收发程序。基于μC/OS-Ⅱ设计了包含四个任务的应用程序,并进行了系统测试。
[Abstract]:With the increasing improvement of people's living standard, people pay more and more attention to the problem of family safety. This paper analyzes the current situation of home security monitoring and the existing intelligent monitoring alarm devices at home and abroad. Combining image processing with embedded technology, a video surveillance system based on embedded platform is designed, which uses GPRS wireless technology. Mobile phone and other remote monitoring of indoor environment. Firstly, according to the domestic market environment to determine the purpose and principles of the system design, the system as a whole is designed. This paper introduces the related knowledge of the system hardware platform STM32 and the embedded technology and image processing technology used in the security monitoring system. Secondly. According to the modular design idea, the hardware circuit of the whole embedded system is divided into three modules, respectively as the main control module. OV7725 image acquisition module and GPRS wireless communication module. The characteristics of each module and the communication interface with STM32 are introduced, and the circuit schematic diagram is designed. This paper studies the alarm monitoring algorithm and JPG image coding in security surveillance. A motion detection algorithm based on background differential method and frame difference method is designed for the hardware platform of this system. After completing the motion detection, the shape feature of the moving object is extracted, and according to the aspect ratio and the area feature, the detection of the warning situation is made. The driver of each hardware peripheral is realized, and the 渭 C / OS- 鈪，

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