Intelligent Video Analysis Technology Application and Monitoring Intelligence Evaluation

With the development of high-tech and other new science and technology, the video surveillance system is also digitized and networked, and it is gradually moving toward high-definition and intelligent development. The so-called intelligent video surveillance system means that without the need for human intervention, the system can automatically detect, analyze, and identify abnormal situations in the surveillance image, and promptly make pre/alarms.

Intelligent Video Analysis Technology Application

At present, the video surveillance system features: manual type and post-processing type. In other words, the current operation and maintenance work is generally done manually. In the central monitoring room, the monitoring staff manually monitors each channel of video images. Because of the limited number of monitoring screens, monitoring personnel often monitor multiple cameras at the same time on one monitor screen or randomly select cameras to watch, causing some monitoring points to be missed or overlooked. In addition, people's attention is limited, fatigue, and will be interfered with by other things. According to the survey, after observing the same video for 22 minutes, people cannot perceive 95% of the motion of the screen, so the probability of manual monitoring of missing important information is very high. .

In addition, with the acceleration of urbanization, the number of surveillance cameras is increasing, and the requirements for video storage space are getting higher and higher. How can we protect the investment of users and enable video surveillance systems to meet functional requirements? Intelligent video analysis technology provides a more complete solution to these problems.

In order to solve the passive and hindsight of current video surveillance, video surveillance can be combined with video intelligence analysis applications.

In recent years, with the improvement of intelligent analysis algorithms and the support of processing chips, different manufacturers can already integrate video analysis applications into front-end cameras or video analysis servers, or use algorithms built into software to implement intelligent analysis functions in the background. .

Intelligent analysis algorithms can be classified into several categories: interest area analysis, trajectory analysis, pedestrian analysis, digital analysis, etc., which are referenced according to different applications. Functionally, many functions are also derived. The most important ones are: face recognition, license plate recognition, item loss, retention, illegal entry, direction determination, biological discrimination, image merging, and item tracking. Although there are many types of development, they are rarely used commercially. The reason is: 1. The accuracy of the current smart analyzer can not meet the customer's requirements, and the false alarm rate is high. 2. The analysis process cannot be intelligently handled and there is no rich background processing platform to follow. 3. There is no scale effect. Therefore, the popularization and application of intelligent analysis still takes a long time.

Then, the internship of intelligent analysis commercialization must go through several steps. First, the optimization of the utility function intelligence algorithm is first implemented on the single board to realize the intelligent realization of the single circuit, and then integrated into the DSP. After it is developed to multi-thread processing, it is finally grafted to the SOC solution. On the internship chip intelligent processing. Second, the current smart analysis of various manufacturers can be said to be large and complete, but it is not refined, and there is still lack of practicality. Therefore, the future development of intelligence should be combined with the realization of the needs of various industries, issued a number of dedicated intelligent analysis functions for the application of various industries, so that small and refined.

The prospect of intelligent analysis is a broad one. Video surveillance combined with intelligent analysis will evolve from the current passive and post-event nature to preventive and preventive development. With the development of the Internet of Things, video surveillance will have a new development. It is well-known that video is one of the most important sensor elements of the Internet of Things. The combination of intelligent analysis and video surveillance will extend the new application industry of video surveillance and expand the use of video surveillance. Many special functional requirements.

Classification of intelligent assessment methods

Classification of intelligent assessment methods

The grading of this five-grade scored intelligent assessment method is:

The first range of products

The intelligent IQ of a product or system in this class range is 1 point, or less than 50 points, that is, the level of intelligence is extremely poor.