Build a three-dimensional security system layout City monitoring network challenges

At 1pm on November 31st, a man was found dead on the hiking trail in Longshan Zijin Park, Shunde, Foshan. Witnesses claimed that the man and his partner were beaten to death by two other men during the mountaineering, and her partner was forcibly taken away. How this scene is so similar to the ancient drama of "grasping the world under the sun, robbing the women" is now a law-making society, there are still such things happen, it seems that our public security still needs to be strengthened.

Public security is accompanied by millions of households, and it is connected with economic and social development. It is a barometer of peacebuilding. Only through a great deal of meticulous and pragmatic work can public safety be truly implemented and securely done. Only in this way can we ensure that the broad masses of the people will live and work in peace and happiness, and that they can provide a harmonious and stable environment for economic and social development. In order to more effectively resolve the series of contradictions and conflicts brought about by the rapid economic development and social transformation, the current level of public safety protection must be further improved and the three-dimensional public security prevention and control system must be continuously innovated to promote overall progress. Governing the country by law.

How to strengthen social public security and build a city monitoring security network is one of the basic measures. As one of the key construction projects in Pingcheng City, the city surveillance network enterprise is a complex system. It includes many subsystems such as image investigation systems, online investigation systems, and integrated image management.

Image Reconnaissance System In recent years, public security agencies throughout the country have been vigorously developing video surveillance systems. Monitoring resources are increasingly becoming an important source of criminal evidence and criminal clues in the detection of various cases. Under this background, relying on massive monitoring resources, the image detection technology based on intelligent analysis and highly effective judgment has been rapidly developed. It has now evolved into the fourth after the public security organs’ following criminal investigation, technical investigation, and network investigation. Big technical investigation means.

However, due to the fact that the technical development of the map detection has just begun, there are still no unified standards in the industry. Different manufacturers have different understanding of the application of map detection, and the differences in the R&D capabilities of the manufacturers themselves have resulted in the existence of some current map detection applications. problem. If there are many types of monitoring resources and large quantities, the video acquisition process is time-consuming and laborious; the image formats are different, and the video integration process is difficult; there is no specific image processing tool and it is difficult to extract key information; the massive video retrieval workload is large and difficult Quickly locate clues; case information is not shared and there is no structured processing; analysis of collusion cases is difficult; associated information is distributed in independent systems, and information acquisition efficiency is low; lack of systematic business processes affects the maximum efficiency of map detection. Play.

Online Inspector System A complete set of online inspector systems have important capabilities such as HD inspector, mobile inspector, video inspector and other online inspector subsystems, docking with the original monitoring system, docking with the video conferencing system, and integration with the interrogation system. The supervision business provides great convenience.

The Video Quality Management System for Video Operation and Maintenance Intelligent Management System uses computer intelligence to perform round robin detection on the front-end camera at the management center, including video source loss, network anomaly, sharpness detection, brightness anomaly detection, color cast detection, occlusion detection, and noise detection , Video freeze detection, jitter detection, network fault location and playback delay detection, etc. When detecting image quality anomalies, the system will automatically issue an alarm.

In addition to the front-end circumspection, the O&M management system can also detect whether the entire monitoring system can provide services normally, especially for real-time monitoring of the core part of the platform, including system load, device online status, storage space, etc. aspect.

The bayonet system integration in the bayonet system network integration process, the need to solve the problem of various bayonet system platform docking, bayonet system interconnection and other problems, after the standardization upgrade for the bayonet platform in Hainan Province, the entire bayonet platform It can seamlessly integrate with other systems, effectively integrate the bayonet systems of other manufacturers, make full use of existing resources, and incorporate monitoring resources around the bayonet into the system to realize smart traffic management combined with bayonet and road monitoring. At the same time, interoperability with other police systems, such as motor vehicle registration system, police integrative system, stolen motor vehicle system, police GIS system, etc., to achieve the information sharing between the bayonet and the various systems, will be before Hainan Province The independent bayonet system is networked and integrated to maximize its use value.

The two major challenges of the integrated image management platform are the core of building a smart city, and the construction of a set of application systems that meets the requirements of the public security technical tactics and uses logic in order to draw a full conclusion for the ultimate application of intelligence, collaboration, and data mining. To achieve the application, the first is to achieve a variety of integrated integration of image resources. Second, how to deal with the large amount of data generated by the monitoring system, how to quickly grab the most valuable information.

Although there are still many challenges and deficiencies in the current urban surveillance system, it is believed that with the continuous advancement of technology, the future city surveillance network will become more secure in the future.

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