Security needs to promote the intelligent development of video surveillance technology

Successive terrorist incidents and production accidents have made the society's need for safety even stronger, especially for TV surveillance. The investigation process in the London bombings gave security officials and the public a better understanding of the role of TV surveillance in security systems, and generated higher expectations. Indeed, TV surveillance is the most effective means of security systems. This has brought good opportunities and new space for the development of the security industry. At the same time, it has also put forward higher requirements and new challenges for us. Because, the current TV monitoring technology can not fully meet the needs of security, we need to constantly improve and improve, in the application mode, technical and conceptual breakthroughs, video monitoring technology is moving towards digital, networked, intelligent Development direction, and the current situation will greatly promote this development process. Many cities and regions are preparing to establish large-scale video surveillance systems, with a large number of cameras and a wide range of surveillance. Using traditional methods and technologies, the signal transmission cost is higher, but the network is everywhere, and the bandwidth is getting wider and wider. Using the network to transmit video signals is a viable option. A large system can obtain a large number of images. If it still uses human observation to extract valuable information, the effect is very poor. In addition to low efficiency, the use of image information is not sufficient. Automatic analysis of images is used to find useful information. And deal with it immediately (such as alarm). This is the basic starting point of intelligence.

We can divide the video surveillance technology into several modes, but in fact there is no essential difference between these modes, because they all use people to observe the image. The real meaning of intelligent video surveillance is: the system can machine analyze (automatically understand) images and process them. The same is true of other security technologies. I have read such an article, the author puts forward the view that video surveillance is "from classic to modern", and pointed out that one of the main signs of completing this transition is the system from visual interpretation (visual reading) to machine interpretation (machine reading) ), And this is exactly what needs to be achieved.

The basis of networked and intelligent video surveillance technology is digitalization. And intelligence is the highest state of "three transformations". The change from visual interpretation to automatic interpretation of the system is a leap in video surveillance technology, and it is an inevitable development of security technology, but explaining (machine-readable) what is currently a problem to be seriously discussed. It is very convenient to install a camera to obtain images, but it is difficult to obtain valuable information through image output. At present, the camera surveillance widely used in banks, warehouses and other departments is usually only used for forensics afterwards. It loses the basic value of the image (a dynamic, real-time media), just like turning live broadcast into video. This kind of application has a gap with people's real demand for video systems. The urgent need for security is to be able to continuously monitor and alert in time that events (theft, sabotage, intrusion) may occur or are in progress, predict a trend, and remind management personnel that the development of the situation has reached a defined limit. In order to prevent the occurrence of the incident in time or have more serious consequences. The characteristic of video surveillance with early detection (early warning) function is that it can identify and judge suspicious behavior before the incident, and video surveillance technicians should take it as an important research direction.

Video surveillance has also developed rapidly in recent years, and the range of applications is continuously expanding. The "three transformations" trend of video surveillance technology and the results of the above-mentioned technical research have already had some preliminary applications. There are already various products of network surveillance in the market, such as network cameras, network matrices, etc., video services on the network It is already common. It must be pointed out that the quality of these systems still needs to be improved, and their images appear to have significant delays, jumps, and are not clear enough.

The video content analysis equipment launched by some companies recently has functions such as cross-border detection, directional motion detection, in and out management, movement detection, still (discard) detection, flow (person) counting, and speed anomaly detection. .

A suspicious person is found wandering in the area of ​​safety management (around the parking lot, facilities), and a person has special attention or abnormal behavior on the protection target;

An unknown item was found to appear in a safe area (public place, under a bridge) for a long time, especially the item separated from the moving target, it was at rest for a long time, and it was found that the items in the defense area increased or decreased;

It is found that the monitoring targets (human offenders in the cell and moving vehicles) have abnormal status for a long time (still stationary or excessive exercise for a long time);

Monitor the anthropological statistics of consumers in shopping malls, entertainment venues and other public places, through the classification and statistics of targets, to judge possible congestion in advance, and make predictions on sales trends;

It is used to measure traffic flow and make overall and trendy predictions of urban traffic conditions, as the basic input parameters of traffic signal systems, indicator systems, and guidance systems.

There is also a test system for target recognition. Under some conditions with limited conditions (illumination, orientation), establish an image recognition (face image, gait) recognition system to discover the appearance of controlled objects or suspicious targets.

Progress in technology is step by step. But the opportunity and the driving force brought about by a major event will greatly encourage and catalyze the progress of technology. Video surveillance technology is at this moment.

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