China’s smart surveillance has become a giant in the security industry

Intelligent video analysis is a very complicated technology. Taking the statistics of people as an example, various factors such as the walking direction of a person, mutual obstruction of a human body, the fatness and the thinness of a person, whether a person is walking or crawling, and the snowfall may be some disturbing factors in the number of persons, so accurate statistics are required. Need to develop a very professional algorithm, there must be a dedicated software and hardware personnel to do it.

The huge amount of video analytics calculations require a large amount of processor resources. Forwarding the intelligent video analysis function will greatly reduce the resource consumption of transmission channels and back-end processing and storage.

Products that often have "smart" titles generally can improve efficiency and reduce costs in certain areas. Because of the continuous reflection of advantages, the shortcomings of traditional monitoring platforms are gradually exposed.

Low efficiency of preview mode:

Due to the large number of surveillance cameras, the current preview mode is often performed in a round-robin manner. That is, previewing a group of images at regular intervals may result in the key images not being monitored.

Lack of timely front-end fault diagnosis mechanism:

It is also due to the large number of cameras and the low efficiency of the one-by-one preview method, coupled with the long-observed observations that result in the impact of manpower shortages. Many failed cameras have no way to discover them in time. When a real event requires a video callback, Only find the camera's fault.

Low efficiency of event playback query:

When looking for an event that has occurred in the video, the fast forward is generally selected, and then the place where the event occurs is played slowly to see the details. However, if this process is completed by hand, it is very onerous and the overall efficiency is low.

The inefficiency of the storage mechanism:

At present, a large number of cameras bring a huge amount of storage, but most of these stored data are of no practical significance. This largely wastes storage space. The current limitation of storage space is also one of the factors restricting the development of high-definition cameras. . If only some key images are stored, the utilization of storage space will be greatly improved.

Compared with previous security monitoring products, the application features of intelligent analysis products are as follows:

Real-time: Analysis of surveillance video in real time.

Naturalness: The analysis of the image is close to the human's biological processing mechanism, and the user quickly handles it through the video screen when an alarm event occurs.

A small amount of false positives and false negatives exist objectively, which may only be improved with the maturity of the technology and the summary of a large number of practical applications.

Video analysis has been proposed as an important development direction in the field of video surveillance in recent years. Many video surveillance companies use video analytics to launch solutions such as motion detection, facial recognition, vehicle identification, crowd control, and traffic flow control. The continuous development of intelligent video analysis also makes the concept of intelligent monitoring gradually known by the industry.

It is precisely because of these characteristics of the use of smart devices, the development direction of the smart device itself is more accurate event identification, fewer false positives and false negatives, and the technology is constantly improving, intelligent video analysis technology is maturing, and it is also intelligent monitoring. The construction of the platform has played an important role.