Large high-definition video monitoring system based on cloud computing

Abstract

The invention discloses a large high-definition video monitoring system based on cloud computing, comprising a video acquisition end which consists of a plurality of high-definition cameras, a broadband network, a cloud computing and storage platform which consists of cluster nodes and a monitoring end. Wherein, the video acquisition end acquires video data, the data is transmitted to the cluster nodes of the cloud computing and cloud storage platform via the broadband network after being coded to some extent, the platform decodes, classifies and stores the video data through cloud computing and cloud storage technologies, codes are converted according to the needs of the monitoring end, and images with different definition on different acquisition ends are transmitted to the monitoring end via the broadband network. Consequently, the large-scale high-definition real-time monitoring is realized.

Description

technical field [0001] The invention relates to the technical field of electronic information, in particular to a large-scale high-definition video monitoring system based on cloud computing. Background technique [0002] With the continuous development of video surveillance technology, the requirements for video processing capabilities and clarity are also increasing. To achieve large-scale high-definition surveillance, it is necessary to collect video sources, encode and decode video signals, transmit video signals, and It provides comprehensive support for browsing, playback of video files and other links. This puts forward higher requirements for the whole system from hardware to software. [0003] Large-scale high-definition video surveillance will inevitably generate a huge amount of data and high bandwidth requirements. Simultaneous display of dozens or even hundreds of clear camera screens requires extremely high transmission and processing capabilities of the surve...

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Problems solved by technology

[0005] At the same time, most of the existing technological innovations and patented technologies are aimed at improving video data processing methods or camera front-end information collection methods to reduce the requirements for data centers on processing capabilities and transmission data bandwidth, but these two methods are in practice. The ability to improve is very limited. When the monitoring scale increases and the amount of data increases significantly, the shortcomings of existing technologies cannot be avoided, or the requirements cannot be met, or the implementation cost is too high

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