Intelligent ip cameras are universal in commercial areas

Early intelligent video surveillance systems analysis functions primarily in two forms: one is the first by an ordinary camera surveillance images capture the scene , and then handed back to the back-end loaded video professional video management software to analyze the video server , the user and can be configured to analyze the results of access to intelligent analysis rule by other C / S or B / S client. The system performance is good or bad depends on the performance of the server or computer , and the front of the camera does not have much relationship ; Another way to achieve is to make the front of a smart , intelligent analysis algorithm is integrated in the upcoming codec processing network camera on the device , we usually refer to this type of camera is smart cameras , users still need via C / S or B / S client to perform configuration management , but eliminating the intelligence analysis server. This performance depends on the implementation of intelligent analysis of the performance of the front end of the camera . With the advent of higher-performance network HD SoC chip , some of the more useful features of the original professional camera smart enough to transplant on the ordinary high-performance network camera , it has some simple intelligent detection features such as Face Detection , across the line / area intrusion detection , etc., can be realized by the configuration of intelligent rules IE network camera comes with its own clients , such cameras can be called “micro” smart cameras.
Front camera and intelligent “micro” smart cameras have the advantage by virtue of their own , driving the rapid spread of intelligent monitoring in commercial areas also quick application. To sum up , the main advantage of intelligent front of the camera included. Saving hardware costs, on the one hand , improve network performance chip HD camera makes it possible to intelligent front . Appear intelligent front of the camera , so that eliminates the need for intelligent monitoring server hardware costs , and even “micro” smart camera makes “smart ” has become a standard feature of the camera , and the “micro” smart camera prices and general HD network cameras but did not increase compared . On the other hand , in addition to the cost of hardware , intelligence analysis software itself higher price . When intelligence front, the back end just one rule configuration capabilities with intelligent client software , “micro” smart cameras simply can be configured on the interface that comes with IE ; saves network bandwidth through the background server software for intelligent analysis of the form , you need to time the video front camera returns back to its analytical work , which both lead to a lot of bandwidth wasted on unnecessary video transmission, and because the video encoding compression, transmission delay throw package and other issues , it will affect the accuracy of the analysis to a certain extent . Intelligent ip camera work can be done directly at the front end , and returns the video in a timely manner without the rear end of the analysis , the result data only when an event is triggered , the IP camera will be transmitted to the event analysis of the background, which can significantly reduce the amount of data , reducing the pressure of network transmission. In addition , most of the front-end network camera with SD card storage function, when a network failure disconnected or congestion, can first analyze the data stored in the SD card , the network is recovered and then upload the background, therefore , network conditions affect their accuracy can reduce system stability and better ; enhance scalability, server intelligent analysis system for expansion , they have to deal with server performance is limited . If the lack of server performance , not only to add front of the camera , the need to additionally equipped with a new server, which is not conducive to the expansion of the system. Every intelligent ip camera with front independent intelligence analysis capabilities to any point in the system increases network camera , without having to worry about increasing the burden on the server, the system reflects its good scalability ; meet the diversity of needs, usually only equipped with a feature on a server intelligence analysis software , and smart front camera chip platform based on open , different intelligence capabilities can be deployed on the same camera , the same HD network cameras can be used in different scenarios , users can meet diverse , individual needs .
With the increase in large-scale projects and network development , operation and maintenance personnel simply relying on manual analysis collected a lot of information becomes time-consuming , inadequate, and demand is growing intelligent . The high cost of early intelligence analysis server through intelligent monitoring , therefore , intelligent application of the mainstream market is safe city construction , renovation Financial Network HD systems , road construction and other traffic violations forensics systems need more intelligent application and budget the large-scale projects . In addition to cross the line , outside the area of intrusion detection , such as face recognition, intelligent traffic statistics and other useful functions in the chain stores , specialty shops , supermarkets , business offices and other commercial applications have also been more and more attention and favor, these smart Although the application has not yet reached a hundred percent accurate , but it can help users solve some practical problems , for example, auxiliary business operations, providing efficient , more accurate and valuable data for business analysis . It can be anticipated , smart cameras in commercial areas will be as big .
Currently, the mainstream intelligent video analysis techniques can be roughly divided into four categories : Based on the body ( face recognition, body feature extraction , traffic statistics, etc. ) , based on the vehicle ( license plate recognition , feature extraction vehicles , illegal behavior detection , etc.), based on the behavior ( automatic tracking , abnormal behavior analysis, etc. ) , image-based ( video quality diagnostic , image enhancement, restoration , etc. ) . The above analysis of intelligent video surveillance applications , currently in the professional market areas such as public security, transportation , banking, judicial , petroleum, petrochemical , etc. have been applied and gradually extended , but in commercial areas such as supermarkets , shopping malls, chain stores , a typical representative of the intelligent application as traffic statistics , and achieved good market feedback , the future is expected to achieve more intelligent application , and to promote other intelligent applications popularized in the commercial market . Currently video surveillance traffic statistics are mainly shopping malls , luxury stores, museums, galleries , a large hall , stores and other public places to provide traffic data and provides a variety of graphical reports. The system has the following core values ??: to assess the effect of the marketing strategy to increase sales by comparing traffic effectively evaluate promotional activities held on the marketing and promotion of effective ROI evaluation. By comparing historical sales and traffic , you can effectively analyze the types of goods and the impact of various management strategies and sales volume of traffic , and thus make better management decisions , increase sales . By variation of the daily passenger flow statistics , can well arrange the mall working hours , thereby increasing sales ; assessment of the quality of service and retail rental price, through traffic, sales and volume statistics , you can calculate the average purchase amount of traffic and crowds bag rate, to assess the quality of services and shopping staffing levels to provide evidence . Through traffic statistics, you can objectively determine counters, shop rental price levels ; differences in management can reduce costs through the different floors and different areas of traffic statistics , allows managers to attract rate statistics for each region and busy degrees, shops and thus a reasonable distribution service personnel , increase sales and reduce costs. Displays the current traffic status and trends , to take on the larger flow area emergency prevention measures , and real-time observation of the number of shopping malls to stay current , and thus electricity, maintenance personnel and security personnel to make reasonable adjustments , controls shipped to the mall costs.

As users demand more and more high-definition video surveillance,security systems increasing scale,as well as monitoring the progress of the development of technology,the network and the increasing popularity of high definition has become a mainstream,and intelligent application has become irreversible trend.

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