Intelligent distribution control system and method used for 'Safe City' project

Abstract

The invention relates to an intelligent distribution control system and method used for a 'Safe City' project and in particular relates to a system and a method used for a 'Safe City' project so as to carry out street real-time intelligent distributed control. The system comprises front-end video equipment and a monitoring center, wherein the front-end video equipment carries out real-time video monitoring; the monitoring center comprises a data server, a streaming server, a comparison server and a client side management system; the data server is provided with a map storage management unit; the streaming server obtains the video stream of the front-end video equipment and forwards the video stream to the comparison server; the comparison server analyzes the video, extracts an image characteristic value and compares the image characteristic value with a picture prestored in the map storage management unit; and the client side management system receives the contrast result of the contrast server and gives out alarm information according to the contrast result. Compared with the prior art, the intelligent distribution control system is more intelligent, is stronger in identification function, and is strong in deterrent force and practicality; and the cost is greatly saved, and the function and the efficiency are greatly improved.

Description

[0001] technical field [0002] The invention relates to a system and method for intelligent deployment and control using video monitoring, in particular to a system and method for real-time intelligent deployment and control of streets for the "Safe City" project. [0003] Background technique [0004] The "Safe City" project, also known as the 3111 project, is a super-large and comprehensive management system that not only needs to meet the needs of public security management, urban management, traffic management, emergency command, etc., but also takes into account disaster early warning, safety Production monitoring and other aspects of the demand for image monitoring, but also consider the integration of alarm, access control and other supporting systems and the linkage with the broadcasting system. [0005] The construction of safe cities was first piloted in Xuanwu District of Beijing, Jinan of Shandong, Hangzhou of Zhejiang and Suzhou of Jiangsu. In June 2004, in o...

AI Technical Summary

Problems solved by technology

[0011]But such monitoring systems have some inherent limitations:

[0012]1. Due to the weakness of human beings, it is easy to cause false positives

[0013]Generally, in many cases, human beings are not completely reliable observers. Different conditions and their own physiological weaknesses often fail to detect security threats, which may lead to the occurrence of false negatives (False Negatives)

[0014]2. Each monitoring point cannot be monitored all the time

[0016]3. It is easy to cause false positives and false positives

[0018]4. Data analysis is difficult due to lack of intelligence factors

[0020]Due to the lack of intelligent factors in traditional video surveillance systems, video data cannot be effectively classified and stored, and can only be marked with time tags at most, so data analysis becomes extremely time-consuming , and it is difficult to obtain all the relevant information, and the frequent false positives further increase the useless data, which brings greater difficulty to the data analysis work

[0021]5. Feeling powerless in investigation

[0022] After obtaining the key data of the incident, although the city is full of cameras, it is unable to trace the location of the suspected person or the location of the suspected vehicle

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