Smart video monitoring system based on cloud platform

Abstract

The invention relates to a smart video monitoring system based on a cloud platform, and belongs to the technical field of remote smart monitoring. The system is characterized in that a video monitoring cloud platform is developed on a server cluster established on the basis of a Hadoop cloud computing platform, and video data acquired by front-end equipment are transmitted to a server in a stream way; through adoption of a massive distributed cloud computing technology, real-time tracking, processing, analysis and outputting of video streams are realized; and a service is provided externally, so that a terminal user can perform checking and calling conveniently. In the system, the characteristics of distributed high-concurrence access storage, high availability, rapid response, easiness in management and maintenance and the like are integrated. Video acquisition, video encoding and transcoding, video data storage, a streaming media distributed server and a client are all distributed on a physical host node in an access network. Compared with a conventional video monitoring system, the smart video monitoring system has the advantages that video real-time processing and transcoding efficiency and video data storage capacity are increased greatly; the requirement of people on the video monitoring system in a big data era is met; and a relatively large commercial value is achieved.

Description

technical field [0001] The invention belongs to the technical field of remote intelligent monitoring, and relates to an intelligent video monitoring system based on a cloud platform. Background technique [0002] In today's society, with a large population, there are many potential safety hazards. As an important means of security, video surveillance has a large number of cameras distributed in various places. It is unrealistic to rely solely on manual monitoring to generate massive video data. At the same time, video data storage and network transmission bring a lot of pressure. In the modeling process of the video surveillance system, due to system analysis or other reasons, some resources such as cameras and servers may be idle or in short supply. However, various surveillance systems operate independently and lack a platform for effectively integrating resources, resulting in resource allocation. Reasonable, waste a lot of manpower and material resources. [0003] At ...

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Problems solved by technology

[0004] Based on the above background, the present invention designs an intelligent video detection system based on a cloud platform. Aiming at the real-time transcoding processing efficiency and storage capacity of today's video monitoring systems, a cloud computing-based video monitoring system is designed in combination with cloud computing technology. On the one hand, it solves the problem that the limited bandwidth cannot transmit the massive video data in multi-channel monitoring and the system has poor real-time transcoding ability; question

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