An intelligent video identification system and application thereof

Abstract

The invention discloses an intelligent video identification system, comprising a front-end access device, a video image intelligent analysis system, a video big data analysis system, a video cloud platform and a comprehensive application system. The invention realizes the networking of the built cameras, integrates and unifies the application of resources, has wide coverage, rich functions, largenumber of features that can be monitored and comprehensive monitoring elements. At the same time, the video surveillance front-end based on the Internet has the advantages of high speed and low cost.High value points are selected, the intelligent front-end is deployed, thus realizing human, vehicle capture and deployment alarm.

Description

technical field [0001] The invention relates to the technical field of video monitoring and processing, in particular to an intelligent video recognition system and its application. Background technique [0002] Through the construction of a "Safe City", the police have self-built video surveillance resources of over one million channels, forming coverage of key public areas such as the city's main roads, key areas, and important places, and are effective in combating crime, public security prevention, social management, and serving the masses. played an irreplaceable role. [0003] However, on the whole, there are still many outstanding problems in the construction of video images and networked applications: the intelligent application service system of video images is not perfect, the level of tracking and popularization of new technologies is low, and the ability of video image information aggregation and intelligent analysis is weak. Insufficient value mining, many trad...

AI Technical Summary

Problems solved by technology

[0003] However, on the whole, there are still many outstanding problems in the construction of video images and networked applications: the intelligent application service system of video images is not perfect, the level of tracking and popularization of new technologies is low, and the ability of video image information aggregation and intelligent analysis is weak. Insufficient value mining, many traditional applications during and after the event, few pre-announced and intelligent applications; social video resources are 100 times that of public security self-built videos, not connected to the Internet, and the application rate is low; Back street shops, small streets and alleys, and district buildings, etc. The coverage rate of video surveillance in multiple domains of property infringement cases is low

[0005] Most of the existing video recognition systems have single functions, and do not combine various recognition elements (such as face, license plate, abnormal behavior, action trajectory, etc.) well. Extracting myopia elements from video data for comparison and splicing, the workload is huge, and the application prospect is not ideal