Intelligent video analysis: video surveillance moves from "passive" to "active"

Intelligent video analysis: video surveillance moves from "passive" to "active"

Intelligent video analysis technology was once highly anticipated, but due to factors such as high investment costs and limited recognition reliability in early applications, this technology was not widely used.
Today, the emergence of high-definition video surveillance systems provides clearer and more detailed video images, and also lays a solid material foundation for the application of intelligent video analysis. According to statistics,
commercial places, transportation and financial industries are currently the fields with the largest application of intelligent video analysis technology, but the average application level is still relatively low, about 20%, and the market development potential is huge.

In terms of information management, with the support of high-definition video, intelligent video content analysis technology is becoming increasingly mature, making the system more intelligent, reducing the input of personnel monitoring, improving work efficiency
, and facilitating more effective use of video resources. However, from the perspective of the overall system, the value of intelligent video analysis technology has not yet been truly reflected, especially in some large-scale
monitoring projects, or in applications combined with the user's own business, how intelligent video diagnosis technology can help the system change from "passive" monitoring to "active" early warning, thereby improving service
quality; how intelligent video analysis technology can help users improve their business level and create greater economic benefits, etc. These are all "intelligent" goals in the future development of network high-definition video surveillance systems
.

Improve the management efficiency of video information

According to different intelligent video analysis algorithms, intelligent video systems can extend a variety of different functional applications. In current practical applications, the most widely used intelligent video analysis technologies
can be roughly divided into two categories: one is simple image analysis for people, objects and movement trajectories, including face recognition, license plate number recognition, vehicle type recognition, traffic light recognition, virtual
cordon, headcount, traffic flow statistics, items left behind/stolen, people wandering, automatic PTZ tracking, etc.

The other is video retrieval technology, which is mainly used to quickly search for useful information in massive videos. Video retrieval technology refers to content-based retrieval and recognition, also known as video
summary technology. It is based on timeline compression, analyzes the structure and content of the video, extracts meaningful parts from the original video, and combines them in some way. It is
a new method for providing quick browsing and retrieval of surveillance videos.

For example, the RVS Expert platform developed by Guangzhou Ruijie Network Technology Co., Ltd. can
help operators quickly find the target device in front-end camera retrieval through resource tree hierarchical retrieval, electronic map navigation retrieval, shortcut key input number search, name fuzzy retrieval, etc., depending on the known information. Video data can also be
searched in multiple dimensions based on conditions such as name, number, time, bookmark, alarm log, etc., and can be quickly located through the timeline. Its "time slice" function allows users to quickly retrieve
multiple instantaneous images in the video screen within a certain time period.

From "passive" to "active"

For a long time, video surveillance has been an important technical means for post-event evidence collection. With the support of high-definition video technology, the reliability of intelligent video analysis has been greatly improved.
On this basis, in addition to the management of video information, people also hope to give full play to the greater use value of intelligent video analysis technology, and transform the video surveillance system from the original "passive" post-event evidence collection mode to the "active" early warning mode, so that users can more deeply experience the advantages of its application
within the overall architecture of the networked high-definition monitoring system .

Taking the development of intelligent video diagnosis technology as an example, it controls the video switching output of the matrix host of the monitoring center or connects to the digital video streaming management server to obtain
the video signals of all cameras at the front end, detect and discover camera failures and related damage in real time, and effectively prevent image quality problems caused by hardware and
the losses caused by them. For example, the camera interference detection technology developed by NICE System greatly advances the system's early warning mechanism. When the image integrity of the front-end camera is damaged,
such as the camera direction changes, the camera is blocked, the camera focus is inaccurate, or the background is too dark or too bright, the system will "actively" issue a warning and promptly notify the back-end management
personnel to conduct inspections to avoid the omission of important information.

In addition, another development focus of intelligent video analysis technology is to combine many cost-effective applications
(such as business intelligence) according to different application requirements in different industries, select more suitable software, more efficient storage, etc., to design and implement different application solutions to achieve the best efficiency,
reliability and low energy consumption of the system. For example, Beijing Wen'an Technology Development Co., Ltd. has developed a chain industry passenger flow statistics system and a commercial passenger flow statistics system based on intelligent analysis for commercial application sites
.

Among them, in view of the characteristics of large-scale commerce, Wen'an uses a video passenger flow statistics system as a solution to conduct statistical analysis and mining of passenger flow data, and can
be integrated with third-party software (such as ERP, POS or CRM) to provide comprehensive passenger flow, bag-carrying rate, passenger flow and sales charts and other data, which reflect the passenger flow, number of stranded people
(number of people present), number of transactions, sales, etc. in each period, providing accurate and timely data reference for operational decision-making and comprehensive management of large-scale commercial systems, highlighting the
value of intelligent video analysis technology in commercial applications.

From "passive" to "active"

For a long time, video surveillance has been an important technical means for post-event evidence collection. With the support of high-definition video technology, the reliability of intelligent video analysis has been greatly improved.
On this basis, in addition to the management of video information, people also hope to give full play to the greater use value of intelligent video analysis technology, and transform the video surveillance system from the original "passive" post-event evidence collection mode to the "active" early warning mode, so that users can more deeply experience the advantages of its application
within the overall architecture of the networked high-definition monitoring system .

Taking the development of intelligent video diagnosis technology as an example, it controls the video switching output of the matrix host of the monitoring center or connects to the digital video streaming management server to obtain
the video signals of all front-end cameras, detect and promptly discover camera failures and related damage in real time, and effectively prevent image quality problems caused by hardware
and the resulting losses. For example, the camera interference detection technology developed by NICE System greatly advances the system's early warning mechanism.
When the image integrity of the front-end camera is damaged, such as when the camera direction changes, the camera is blocked, the camera is out of focus, or the background is too dark or too bright, the system will "actively" issue a warning and promptly notify the
back-end management personnel to conduct inspections to avoid missing important information.

In addition, another development focus of intelligent video analysis technology is to combine many cost-effective applications
(such as business intelligence) according to different application requirements in different industries, select more suitable software, more efficient storage, etc., to design and implement different application solutions to achieve the best efficiency,
reliability and low energy consumption of the system. For example, Beijing Wen'an Technology Development Co., Ltd. has developed a chain industry passenger flow statistics system and a commercial passenger flow statistics system based on intelligent analysis for commercial application sites
.

Among them, in view of the characteristics of large-scale commercial, Wen'an adopts a video passenger flow statistics system as a solution to conduct statistical analysis and mining of passenger flow data, and can
be integrated with third-party software (such as ERP, POS or CRM) to provide comprehensive passenger flow, bag-carrying rate, passenger flow and sales charts and other data, which reflect the passenger flow, number of stranded people
(number of people present), number of transactions, sales, etc. in each period, providing accurate and timely data reference for the operational decision-making and comprehensive management of large-scale commercial systems, highlighting
the value of intelligent video analysis technology in commercial applications.