Network video intelligent monitoring system and method

Abstract

The invention relates to a network video intelligent monitoring system. The system comprises a network video monitoring platform, an IVU and an IVM, wherein the IVU is used to identify the video information input to the network video monitoring platform and select a corresponding transmission channel according to the result of the identification to output, and the IVM is used to manage the capability set of the IVU and the strategy of intelligent image identification and provide an interface to connect with the network video monitoring. The invention also designs a network video intelligent monitoring method. The embodiment of the invention uses the IVM to manage the intelligent image identification ability of the IVU and provides the external interface management and calling so as to blend the intelligent image identification ability in the monitoring platform; the invention also adopts the intelligent image identification algorithm encapsulated in the IVU to identify the video information and returns the identification result in the form of a system event to the monitoring system, thus effectively using an original linkage system or data analysis system in the system in combination to realize complex applications.

Description

technical field [0001] The invention relates to the field of video monitoring applications, in particular to an active network video intelligent monitoring system and method. Background technique [0002] In order to adapt to the construction of a harmonious society, the construction of video surveillance systems in my country is in full swing. Many institutions and enterprises have spent huge sums of money to build video surveillance systems. However, although the existing large-scale surveillance cameras can provide the video data they monitor, But did not achieve the real purpose of video surveillance. This is because a large number of surveillance video recordings are mainly used for post-event review. Due to the lack of intelligent processing methods, the video information of these monitoring points cannot be effectively extracted and utilized, and there is no effective retrieval method for the massive video data. Especially for pre-warning, an important application tha...

AI Technical Summary

Problems solved by technology

[0002] In order to adapt to the construction of a harmonious society, the construction of video surveillance systems in my country is in full swing. Many institutions and enterprises have spent huge sums of money to build video surveillance systems. However, although the existing large-scale surveillance cameras can provide the video data they monitor, but did not achieve the real purpose of video surveillance

This is because a large number of surveillance video recordings are mainly used for post-mortem review. Due to the lack of intelligent processing methods, the video information of these monitoring points cannot be effectively extracted and utilized, and there is no effective retrieval method for the massive video data. Especially for the important application of pre-warning, which can suppress some major event hidden dangers in the bud, the existing video surveillance system is still difficult to realize, so the intelligentization of video surveillance system has become an important technical development direction in video surveillance applications

[0003] In the existing video surveillance platform technology, the integration of intelligent image technology has not been considered, nor has a technical solution on how to integrate intelligent image recognition capabilities into the video surveillance system

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