基于区块链技术的高速移动视点视频监控跟踪系统设计

Design of high-speed mobile viewpoint video surveillance tracking system based on blockchain technology

摘要:

针对传统高速移动视点视频监控跟踪系统视频信号收集能力差，追踪准确率低，课题在区块链技术基础上设计了一种新的视点视频监控跟踪系统。系统硬件设计分为视频监视模块、数据定位模块以及视频监控跟踪模块三个模块进行研究操作，在视频监控跟踪模块中根据硬件元件结构与性质对其进行系统掌控，辅助BDL9830QD监视器强化内部系统监视功能，时刻保持系统中心监控操作，在数据定位模块中，综合数据所处状态，选择数据微型定位器对信号进行追踪定位，标定定位目标，调整数据状态，在视频监控跟踪模块中选用HX-YT01 自动视频追踪器加大对数据信号的跟踪力度，实现精准化监控跟踪，由此完成系统硬件设计。在系统应用程序设计中综合硬件元件特点进行程序改造，构建区块链空间，实现对系统的整体设计。实验结果表明，基于区块链技术的高速移动视点视频监控跟踪系统的追踪能力提高了15.21%，追踪结果准确率提高了22.8%。该设计能够在较高程度上强化系统监控跟踪性能，同时缩减系统操作所需时间，提升整体系统运行效率，能够更好的为使用者提供优质理论研究操作。

Abstract:

Aiming at the poor video signal collection capability and low tracking accuracy of the traditional high-speed mobile viewpoint video surveillance and tracking system, a new viewpoint video surveillance and tracking system was designed based on the blockchain technology. The system hardware design is divided into three modules: video surveillance module, data positioning module, and video surveillance tracking module. The video surveillance tracking module controls the system based on the structure and properties of the hardware components, and assists the BDL9830QD monitor to strengthen internal system monitoring. Function, keep the system center monitoring operation at all times, in the data positioning module, comprehensive data status, select the data micro-locator to track and locate the signal, calibrate the positioning target, adjust the data status, select HX-YT01 in the video monitoring tracking module The automatic video tracker strengthens the tracking of data signals to achieve precise monitoring and tracking, thereby completing the system hardware design. In the application design of the system, the characteristics of the hardware components are integrated to carry out program transformation, build a blockchain space, and realize the overall design of the system. The experimental results show that the tracking capability of the high-speed mobile viewpoint video surveillance tracking system based on blockchain technology is improved by 15.21%, and the accuracy of the tracking results is improved by 22.8%. This design can enhance the monitoring and tracking performance of the system to a high degree, reduce the time required for system operation, improve the overall system operation efficiency, and better provide users with high-quality theoretical research operations.