The demand for intelligent video analysis is an inevitable product after the development of video surveillance level to a certain stage. It can well alleviate the problem of massive information redundancy in traditional video surveillance. Although after several years of development, at this stage, both the technology and application of intelligent video analysis and the market environment are still in the growth stage, which needs to move forward in continuous practice and exploration.

About three or four years ago, the concept of intelligent video analysis began to enter people's attention. At first, people's understanding of intelligent video analysis was limited, and the manufacturers' shielding of various application preconditions and restrictions in publicity virtually exaggerated the function of intelligent video analysis, resulting in many users overestimating the role of intelligent analysis, and even put forward some requirements far higher than the existing technology by equating intelligent video analysis with human brain thinking.

At the same time, many manufacturers also overestimate the professional ability and patience of users in the civil field. Many excellent demonstration functions need to be completed under almost harsh premise scenarios; In addition, there are requirements for users' high professional ability: different parameter settings need to be adjusted for different light and weather changes. Let alone ordinary users, even professional practitioners often feel confused about it. These have greatly increased the difficulty of product promotion.

In the field of intelligent video analysis, the deviation between these requirements and technologies often makes users feel that the products of intelligent video analysis are flashy, which virtually increases the communication cost of the project. At the same time, it also has an impact on the work and even reputation of users and manufacturers themselves.

Intelligent video analysis technology can be truly popularized among the people, which requires the joint efforts of manufacturers and users, rational demand and pragmatic products. For users, a proper understanding of its technical principle can provide a lot of help for the design of the scheme.

Principle of intelligent video analysis

Intelligent video analysis is generally divided into two categories. One is based on the establishment of background model, mainly including behavior analysis including perimeter prevention. The second is based on feature recognition, including license plate recognition, face recognition and so on.