Cloud computing based online processing task management method and system for monitoring video

Abstract

The invention discloses a cloud computing based online processing task management system for monitoring video. The system is respectively connected with a client and a front end camera and comprises an intelligent video analyzing algorithm management module, a cloud resource management module, a cloud computing physical resource model and a virtual intelligent video analyzing server. The invention further discloses a cloud computing based online processing task management method for monitoring video. According to the method and system, a group of interconnected server groups in a data center is unified to be managed by the cloud computing technology, and the server groups coordinate to provide a user the intelligent monitoring video online processing task management service; the system is high in telescopic performance; the intelligent video analyzing algorithm can be dynamically configured as requirement, thus the management is convenient, and the cost is greatly reduced; in addition, the video processing task provided by the user can be reasonably dispatched to enable balanced load of the computing groups, and therefore, the resource utilization rate is increased, and efficient cloud computing service is provided to the user.

Description

technical field [0001] This application relates to the field of intelligent video monitoring and cloud computing, in particular to an online intelligent monitoring video online processing task management system, a cloud resource management system, and a cloud resource scheduling method, and in particular to a cloud computing-based monitoring video online processing task management method and system . Background technique [0002] With the rapid development of computer technology, network technology and multimedia technology, video surveillance system has developed from traditional analog video surveillance system to IP-based network video surveillance system. With the continuous acceleration of my country's modernization construction level and economic development, various cities have raised the construction of large-scale social security network video surveillance systems to the strategic height of building a "safe city", which is essential for the construction of unified t...

AI Technical Summary

Problems solved by technology

[0003] The scale of the video surveillance system is rapidly expanding, but there is not enough manpower to monitor, it is difficult to ensure multi-region, long-term real-time monitoring, and it is difficult to process massive real-time video information in time. Therefore, there is an urgent need for a monitoring system with real-time intelligent video analysis on the network. Extract video information and provide early warning for abnormal monitoring scene events

On the other hand, the traditional centralized surveillance video processing server can no longer meet the demand of high-definition video for network traffic, which seriously affects the work efficiency of the online intelligent surveillance video processing system

In addition, in traditional intelligent video surveillance systems, intelligent video analysis algorithms are usually integrated in embedded chips of video analysis servers or cameras, providing fixed types of analysis algorithms, and users cannot customize tasks according to needs

When users need to use new video analysis algorithms, system upgrades or expansion capabilities, they need to purchase additional video analysis servers or replace cameras, which is costly and inconvenient for system management

A single server can obtain stronger computing power by increasing the number of processors and the speed of other components. However, it will be limited by computer architecture and main frequency, and high-performance servers will be expensive and reliable Poor scalability and inability to fundamentally solve problems such as single point of failure and insufficient server resources

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