Intelligent video monitoring system for motion detection

Abstract

The invention discloses an intelligent video monitoring system for motion detection, which comprises a streaming media service module, a video playing module, a video alarm module, a pan / tilt controlmodule and an information collecting module, wherein the streaming media service module is connected with the information collecting module and the video playing module; the information collecting module is connected to the pan / tilt control module; and the video playing module is connected with the video alarm module. The intelligent video monitoring system for motion detection in the invention can realize real-time monitoring, real-time monitoring, real-time analysis and real-time alarm, thereby fundamentally solving the drawbacks of lagging of problem processing of the conventional video monitoring system.

Description

technical field [0001] The invention relates to the field of urban intelligent video monitoring, in particular to an intelligent video monitoring system for motion detection. Background technique [0002] A video surveillance system is all about getting information from the outside world. The acquisition of more than 80% of external information is inseparable from vision. With the improvement of computer technology and the rapid development of science and technology, people expect to use computers to obtain information from the outside world, which is computer vision. Computer vision refers to the use of computers to complete the visual function of human beings to understand the world. The main research is the images and objects perceived by human vision. Including simple exercise patterns and complex exercise patterns, simple exercise patterns are relatively simple. Complex movement patterns. As the public gradually pays attention to safety issues, video surveillance s...

AI Technical Summary

Problems solved by technology

The traditional video surveillance system only provides basic functions such as video collection, storage, and query, and is highly dependent on operators in actual monitoring tasks. Operators are faced with long-term, single, boring, and highly concentrated monitoring tasks. Easy to cause visual fatigue, leading to emergencies

After the incident, the video evidence collection information after the incident is also quite large, and it still needs to rely on a lot of manpower to find relevant information, which is time-consuming and laborious. The shortcomings of the monitoring system are obvious.

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