Development Of Heterogeneous Data Structured Processing Management Software

With the rapid development of Internet technology and Internet of Things technology,massive video information needs to be transmitted,stored and retrieved.However,the huge video information data and difficult to extract video features make the utilization of video data far from the desired results.Early video processing methods only store video by simple classification,and video content information is browsed manually,which results in low utilization of video data and mass of labor waste.In recent years,with the rapid development of in-depth learning,image processing technology has been rapidly improved,which can accurately extract image and video content features,target tracking,etc.This video content-based video structuring method has obvious effect in specific scenarios,such as license plate recognition,vehicle violation detection,etc.For the variable monitoring scene retrieval requirements,the above-mentioned video content-based processing method needs to redesign the corresponding feature extraction algorithm and redesign the structure and retrieval procedures.There are various types of sensors,which can comprehensively collect scene information.The sensor information and monitoring data can be structured to adapt to the changing monitoring environment and avoid the above problems.This paper presents a method for structuring video information through external multi-sensor information.A variety of sensors are installed according to different external environments and business needs,and the sensor information and the collected video information are combined to form structured information for retrieval and storage.This paper introduce the construction principle of structured video information,the structured way of image information and video information,and the retrieval way.This paper develops a set of management and control software based on structured video information,which mainly includes collection terminal module,control platform module and distributed back-end service module.The back-end of this paper uses distributed TARS micro-service architecture to achieve,including retrieval services,database services and PUSH services,and this paper optimizes the programming model between services,which greatly improves the efficiency and stability of inter-service operation.