Intelligent video surveillance system

Abstract

The invention relates to an intelligent video surveillance system, wherein a video input device is used to acquire video information of a surveilled scene, and a video decoding module is used to converting AV (Audio/Video) signals into digital image signals to be output to a video processing unit. The video processing unit internally comprises a plurality of functional modules including an image defogging module, a video event analysis and detection module, a video image compressed encoding module, a video input device control module, a network drive module and the like. A dark channel defogging optimization algorithm based on prior expansion of dark spots is adopted in the image defogging module, which can be used to remove haze in images in real time so as to improve the definition of a surveillance video. The video event analysis and detection module can be used to detect smoke and open fire in the surveilled scene. The network drive module supports the data communication of three networks, namely, Ethernet, WiFi (Wireless Fidelity) and 3G (The 3rd Generation Telecommunication). Accordingly, the intelligent video surveillance system is practical and intelligent in detection function, low in hardware cost, and flexible and convenient in configuration, and has important application values.

Description

technical field [0001] The invention relates to the field of video monitoring, in particular to an intelligent video monitoring system. Background technique [0002] With the continuous popularization of my country's video surveillance system, the degree of digitization, networking and intelligence continues to increase. The role of video surveillance systems in the field of fire protection and security is also becoming more and more important. In addition, with the continuous maturity of image processing and machine vision technology, the potential of video surveillance in intelligent fire protection and high-definition surveillance continues to emerge. [0003] At present, most of the existing video surveillance systems in our country adopt the mode of remote video acquisition and manual viewing of video. There are many disadvantages and deficiencies in this mode: [0004] 1. Due to factors such as many monitoring points, human's own physiological weakness, and imperfec...

AI Technical Summary

Problems solved by technology

[0004] 1. Due to factors such as many monitoring points, human's own physiological weakness, and imperfect personnel management, monitors often neglect or even fail to detect certain safety threats or events, such as a small amount of smoke at the fire source before a fire or fire;

[0005] 2. In terms of monitoring time, it is difficult to realize 7×24 hours of all-weather monitoring;

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