基于大数据的公路监控智能视频分析系统的构建

Construction of intelligent video analysis system for road monitoring based on big data

针对交通视频监控每天要产生海量的视频和图像数据,而传统交通管理系统无法对海量的交通监控数据进行有效分析整合,导致数据信息无法得到充分利用的问题。文中结合大数据和图像识别技术,构建出了一套基于大数据的公路监控智能分析系统。该系统基于图像识别模型实现对交通数据进行图像和视频信息的实时分析,并对当前道路状态做出分析判断和预测,通过多终端发布系统实现道路信息的实时发布。数据测试结果表明,该系统具有良好的交通拥塞识别与数据分析能力,能够为交通管理提供准确可靠的数据支持。

For traffic video surveillance,massive video and image data are generated every day,and the traditional traffic management system cannot effectively analyze and integrate massive traffic monitoring data,resulting in the problem that these data information cannot be fully utilized. Combining big data and image recognition technology,this paper constructs a road monitoring intelligent analysis system based on big data. The system realizes real-time analysis of image and video information of traffic data based on image recognition model,which can make analysis,judgment and prediction of current road state,and realize real-time release of road information through multi-terminal publishing system. The result shows that the system has good traffic congestion identification and data analysis capabilities,and can provide accurate and reliable data support for traffic management.