基于AllJoyn框架的智能家居视频及门禁系统研究

发布时间：2018-01-29 10:45

本文关键词： AllJoyn 视频监控门禁控制 H.264编码压缩 Android　出处：《浙江理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着互联网技术与智能家居的不断的应用到人们的生活的各个方面,针对智能家居中的视频门禁监控系统已逐渐开始受到人们的关注。传统的视频门禁监控存在建设成本高、布线安装复杂、灵活性不高、安全性差等弊端,已逐渐不能满足于人们对现代生活快节奏智能信息化的需求。因此,本文在分析研究了传统智能家居视频门禁缺点的基础上结合了实际的需求对其进行了改进,提出了一种基于AllJoyn框架智能门禁视频监控。本文对于AllJoyn框架进行研究分析建立起端对端通信模型,在通信模型的基础上实现家庭视频监控与门禁端与移动端设备的控制,对其中的关键模块进行研究分析并来实现该系统,通过实验来分析该系统在各方面的性能。本文通过对视频监控中的H.264编码关键技术进行研究分析,提高视频传输过程中编码效率,针对帧内预测模式为了能减少帧内预测模式的选择计算复杂度,在不影响视频监控的质量前提下降低码率的输出,比较了基于边缘方向检测预处理算法与传统预测模式的优缺点,并结合特定的场景提出了针对视频编码的高效率低计算复杂度的优化算法,提出了基于改进的预处理阈值的预测模式的选择,联系家庭场景的特定应用场合使用INTRA16×16模式的纹理特征来减少了预测的计算量。对于帧间编码的优化改进本文通过监控中画面帧间相关性的特征与数理统计分析知识来实现宏块的划分,对UMHexagonS算法提出了一种动态搜索窗口机制来适应不同变化尺寸的宏块划分下搜索出最佳宏块。最后对整个系统的功能进行测试,分析系统中性能与功能指标,实验表明本文基于AllJoyn框架智能门禁视频监控能基本符合了现代家庭应用场景下的整体要求,安全可靠、稳定性好等优点,为智能家居中门禁视频监控的发展与应用提供了可行性方案。
[Abstract]:With the continuous application of Internet technology and smart home to all aspects of people's lives. The traditional video access control system has many disadvantages such as high construction cost, complex wiring installation, low flexibility, poor security and so on. Has been unable to meet the needs of modern life fast pace intelligent information. Therefore, this paper analyzes the shortcomings of traditional smart home video access control based on the combination of the actual needs to improve it. This paper presents an intelligent access video surveillance system based on AllJoyn framework. In this paper, the end-to-end communication model of AllJoyn framework is established. Based on the communication model, the home video surveillance and the control of access and mobile devices are realized, and the key modules are studied and analyzed to realize the system. Through experiments to analyze the performance of the system in various aspects. This paper analyzes the key technologies of H.264 coding in video surveillance to improve the coding efficiency in the process of video transmission. In order to reduce the computational complexity of intra prediction mode selection, the rate of output is reduced without affecting the quality of video surveillance. The advantages and disadvantages of preprocessing algorithm based on edge direction detection and traditional prediction mode are compared, and an optimization algorithm for video coding with high efficiency and low computational complexity is proposed in combination with specific scenes. A prediction model based on the improved preprocessing threshold is proposed. The texture feature of INTRA16 脳 16 pattern is used to reduce the computational complexity of prediction. The optimization of inter-frame coding improves the correlation between frames in this paper. The knowledge of sign and mathematical statistics is used to realize the partition of macroblock. A dynamic search window mechanism is proposed for UMHexagonS algorithm to search the best macroblock under different size macroblock partitioning. Finally, the function of the whole system is tested. The performance and function indexes of the system are analyzed. The experiment shows that the intelligent access video surveillance based on AllJoyn framework can basically meet the overall requirements of the modern home application scene, and it is safe and reliable. The advantages of good stability provide a feasible scheme for the development and application of access control video surveillance in smart home.
【学位授予单位】：浙江理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU855;TN948.6

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