Intelligence is an inevitable trend in the development of surveillance systems. Its essence is to automatically track and identify objects from analog or digital video streams, analyze motion and extract useful video information.
The current intelligent analysis function is more practical.
For network video surveillance, the intelligence of the front-end camera has extremely important practical value. For example, abnormal alarm recording means that the monitored video image is analyzed and recognized by the front-end intelligent network camera, and only abnormal images are transmitted to the back end for recording and display, thereby greatly reducing the burden on the network and effectively saving bandwidth. Resources.
On the other hand, on the back end of an intelligent video surveillance system with a smart network camera, it is only necessary to centrally manage the target data information sent from the front-end camera without processing and recognizing the video signal, so the back-end system does not need to Expensive devices can also perform efficient intelligent video analysis.
Because the back end only has the associated picture display of the pre/alarm events sent from the front end, the monitoring center staff can easily complete the monitoring of the entire system, and the function of this associated recording also makes the video search and playback easy and rapid. This saves precious time.
In the past two years, many intelligent analysis solutions have been promoted in the video surveillance industry, but the effect is not very good. It is often just a gimmick for manufacturers to promote their products. The reason for this is that on the one hand, the technology of the intelligent analysis algorithm itself is not perfect and there is no substantial breakthrough; on the other hand, the resolution of the traditional "SD" camera is limited, and it is impossible to provide a sufficiently clear image for the intelligent analysis algorithm. With the wide application of high-definition network cameras, this situation will be changed.
The intelligent analysis functions that have been implemented or are currently being implemented in high-definition web cameras include: video occlusion and video loss detection, video change detection, video blur detection, video motion detection, entrance and exit statistics, crowd movement, and congestion identification. Item identification, intrusion recognition, etc. These functions seem to be "less" than the previous smart analysis functions, but they are more practical.
The current intelligent analysis function is more practical.
For network video surveillance, the intelligence of the front-end camera has extremely important practical value. For example, abnormal alarm recording means that the monitored video image is analyzed and recognized by the front-end intelligent network camera, and only abnormal images are transmitted to the back end for recording and display, thereby greatly reducing the burden on the network and effectively saving bandwidth. Resources.
On the other hand, on the back end of an intelligent video surveillance system with a smart network camera, it is only necessary to centrally manage the target data information sent from the front-end camera without processing and recognizing the video signal, so the back-end system does not need to Expensive devices can also perform efficient intelligent video analysis.
Because the back end only has the associated picture display of the pre/alarm events sent from the front end, the monitoring center staff can easily complete the monitoring of the entire system, and the function of this associated recording also makes the video search and playback easy and rapid. This saves precious time.
In the past two years, many intelligent analysis solutions have been promoted in the video surveillance industry, but the effect is not very good. It is often just a gimmick for manufacturers to promote their products. The reason for this is that on the one hand, the technology of the intelligent analysis algorithm itself is not perfect and there is no substantial breakthrough; on the other hand, the resolution of the traditional "SD" camera is limited, and it is impossible to provide a sufficiently clear image for the intelligent analysis algorithm. With the wide application of high-definition network cameras, this situation will be changed.
The intelligent analysis functions that have been implemented or are currently being implemented in high-definition web cameras include: video occlusion and video loss detection, video change detection, video blur detection, video motion detection, entrance and exit statistics, crowd movement, and congestion identification. Item identification, intrusion recognition, etc. These functions seem to be "less" than the previous smart analysis functions, but they are more practical.
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