At present, intelligent video analytics technology is increasingly valued by the security industry. Many projects have begun to use intelligent video analytics.
The development trend of intelligent video analysis technology
From the product analysis form of the intelligent analysis system, there are two types, one is implemented by intelligent algorithm + DSP, and it is commonly used in intelligent analysis cameras and intelligent analysis video servers installed in the front end. At present, there are many systems that use this method. The software and hardware with the intelligent analysis function are placed on the video capture side. In a conventional video surveillance system, video occupies a large amount of storage space and transmission bandwidth, and how to solve these problems is the first major challenge. A lot of useless video information is stored and transmitted, which both wastes storage space and consumes bandwidth. The purpose of intelligent analysis is to ease the space required for video storage and the bandwidth pressure required for transmission, or to use low for some unimportant videos. Streaming is compressed and transmitted. In this way, it will help increase the application value of the monitoring system. The algorithm processing is implemented by the front-end, and the back-end service pressure is very small, thus a large number of intelligent analysis cameras can be configured in one system.
The other type is the operation mode of the back-end PC server plus intelligent analysis software, such as Aimetis and iOmniscient. Because this method is used by the back-end PC server for processing, the performance of the processing is better than that of the front-end intelligent analysis camera. Since the algorithm occupies a large amount of hardware resources, when processing multiple analyses at the same time, the system The lack of processing capacity is manifested. Because the back-end PC server has powerful analysis and processing capabilities (compared with the front-end DSP + software approach), the PC server processing method is usually applied to very important intelligent analysis occasions.
From the main application of intelligent analysis, there are two major development directions. One is the intelligent identification technology based on license plate recognition and face recognition. It is mainly used in electronic police, Yang Yang and Customs.
The other is the behavioral analysis technology represented by rules such as perimeter prevention, population statistics, automatic tracking, retrograde, and prohibition, and is mainly applied to perimeter perimeter warning areas, shopping malls, traffic, and scenic spot flow statistics, and roads are forbidden to park, Violation of retrograde, scene tracking and other aspects.
1, dual-track automatic tracking: intelligent analysis camera plus ordinary fast ball. It can be applied to urban police emergency plans. Incident object tracking.
2. Flow statistics: The number of people entering and exiting the statistical box is used to analyze and count customer flow in supermarket shopping malls and help merchants formulate corresponding sales strategies. Applied to attractions, subways, and provide traffic data for personnel control applications.
3. Cross the alert area: Set up a virtual fence to detect the perimeter. When suspicious persons or objects are found crossing the fence, an alarm is triggered and an alarm signal is uploaded to the monitoring and management center. At the same time, the alarm screen can be uploaded to remote monitoring users through the network. It is applied to traffic crossing pedestrian crossings or zebra crossings, plant wall areas, schools, and detention centers.
4. Lost analysis: Draw an area where important items are placed on the monitoring screen as an alert area. As soon as the item leaves the alert area, the alarm rule will be triggered immediately. Applied to key protected areas such as museums, exhibition halls, auctions, gold and silver stores, etc.
5, direction analysis: In the actual monitoring, people may care about the direction of the flow of people and the direction of movement of the traffic, through the identification of the direction can determine whether the target is not legal walking or driving, if there is reverse behavior, the target will be automatically locked, And alarm at the same time. Roads that apply to one-way travel; important entrances and exits.
6. Intelligent tracking: Targeting a suspicious person or object and recording the trajectory of the target, and the camera will follow the target to turn and alarm. Applicable to high-grade residential areas, personnel banned areas, confidential areas, important protection areas, etc. And can be used as the incident after the analysis of the trajectory of the case playback process. To quickly solve the case.
The intelligent video analysis system solves the security personnel's relief from the complex and boring "eye-screen" tasks, and the device completes this part of the work; the other is to achieve rapid search from the massive video data to the desired image. Studies have shown that when operators stare at the video wall for more than 10 minutes, 90% of video information will be missed, making this work meaningless, and often the monitoring system becomes the basis for subsequent investigations. However, the intelligent video analysis system turns the postmortem evidence into an active defense, enabling the project to achieve the most effective security at the lowest cost. Intelligent video analysis system has played a decisive role in successfully applied to all walks of life.
Application of Intelligent Video Analysis Technology
So what are the different characteristics of smart video different industries? What are the differences between HD video surveillance and non-HD intelligent video analysis technologies? What are the requirements for the equipment?
Intelligent video analysis applications can be roughly divided into public security law enforcement and security, literature and art, and tobacco industry. Law enforcement will focus more on pattern recognition, such as license plate recognition and face recognition. Security will focus on retrograde monitoring, illegal intrusion, crowd gathering, slipping, and the detection of relics. Wenbo class focuses on the protection of objects and personnel. Surveillance can prevent objects from being lost, take away, pick up alarms, and carry out retrograde monitoring on special channels. It can also monitor the number of people and personnel density; tobacco industry applications are biased in behavior analysis, such as detection of remnants in prohibited areas. , combined with the special performance of production equipment failure to detect faults. HD smart and non-HD smart use the same principle in the underlying algorithm. HD algorithms need to provide more computing power for analysis. At present, the behavior analysis class adopts CIF resolution. When the input is a high-definition video, the pixels are cropped and then analyzed. For the pattern recognition class, high-definition video is used for analysis to obtain more accurate results.
As far as the intelligent video analysis function can be realized, almost all applications are mainly targeted at three aspects: people, vehicles, and objects. Beijing Wenan divides it into three categories according to the specific applications: 1. Public safety prevention. It includes tracking of target movement trajectory, target movement range, target movement direction, special human behavior, monitoring of special vehicle behavior, and so on. Its prominent feature is that it can provide timely warning for suspicious abnormal events. 2, statistical analysis of data. Typical examples are traffic statistics and traffic statistics. This type of application is relatively independent. It uses data output as the final result, and provides multiple types of data reports to assist management decisions. 3, intelligent traffic monitoring. Typical applications such as license plate recognition, illegal monitoring of red lights, and comprehensive surveillance of traffic violations are mainly applied to the analysis of vehicles. They are relatively mature and application cases are relatively common.
In addition, Beijing Wenan combined with the current status of domestic video surveillance, and specifically developed a class of applications that specifically address the quality of video images in order to monitor the signal quality of each channel of video images. Video loss, snowflake, scrolling, blurring, color cast, picture freeze, gain imbalance and other common camera failures make accurate judgments, help users to find the front-end camera video quality faults in time, effectively control the operation of front-end equipment, and ensure the normal monitoring system. run.
The requirements for video surveillance in different industries generally have very obvious differences, especially for the application requirements of intelligent video analysis technology, which also determines the specificity of the types of detection behavior and abnormal events among different industries. For example, in a safe city, it is possible to develop behavior analysis functions such as fights, robbery, and climb over in response to urban security emergencies. In the bank's ATM self-service area, behavior analysis functions such as illegally pasting small paper strips, installing fake keyboards, masking, and violent robbery can be realized through the analysis of current crimes in ATM self-service areas. In the transportation industry, more functions can be implemented to alert traffic incidents such as retrograde, illegal parking, and traffic jams. Only by combining the practical applications of the industry and in-depth understanding of the specific issues of different industries, can we better grasp the needs of users and put the functions of intelligent video analysis technology into practice. This is also the ultimate reflection of the future industrial value of intelligent video analysis technology. .
For smart video analytics solutions, different industries have different focuses. Taking prisons as an example, in order to prevent the prisoners from escaping from prisons and gang fights, the demand for the perimeter and crowds is relatively prominent, mainly to solve the problems in these two areas, and for some airports and other public places where mobility is relatively large. It said that the demand for the detection and detection of abandoned objects is relatively outstanding, so as to prevent the explosion of dangerous goods and suspicious individuals from committing crimes.
For nuclear power plants, oil fields, power grids and other places, generally in remote areas, the flow of people is not large, but the security needs of its perimeter is relatively high, once it is close to the need to cause warnings, the defense needs of the perimeter is more prominent.
For video surveillance, the clearer the image, the more detailed the details, the better the viewing experience, and the higher the accuracy of application services such as smart, so image clarity is the eternal pursuit of video surveillance. In the past, the low definition of video has made it difficult for surveillance personnel to find valuable clues. The use of high-definition video technology has provided us with high-definition, high-quality video sources that contain rich and complete information, thereby improving the intelligent analysis of video. The accuracy rate avoids the loss of information due to scene problems. From this perspective, the intelligent analysis of video is based on high-definition, so the requirements of intelligent video analysis for front-end camera resolution are relatively high. High-definition means that the storage pressure increases, and accordingly, the back-end storage device The stability and capacity also have certain requirements.
There is not much difference between HD monitoring intelligent video analysis and non-HD intelligent video analysis technology, but the results are completely different. HD monitoring can improve the efficiency of intelligent video analysis, and can obtain more and more effective information from the video. For example, face and license plate recognition require more detail in the image, which can increase the recognition rate while providing more convincing pictures and videos.
The development trend of intelligent video analysis technology
From the product analysis form of the intelligent analysis system, there are two types, one is implemented by intelligent algorithm + DSP, and it is commonly used in intelligent analysis cameras and intelligent analysis video servers installed in the front end. At present, there are many systems that use this method. The software and hardware with the intelligent analysis function are placed on the video capture side. In a conventional video surveillance system, video occupies a large amount of storage space and transmission bandwidth, and how to solve these problems is the first major challenge. A lot of useless video information is stored and transmitted, which both wastes storage space and consumes bandwidth. The purpose of intelligent analysis is to ease the space required for video storage and the bandwidth pressure required for transmission, or to use low for some unimportant videos. Streaming is compressed and transmitted. In this way, it will help increase the application value of the monitoring system. The algorithm processing is implemented by the front-end, and the back-end service pressure is very small, thus a large number of intelligent analysis cameras can be configured in one system.
The other type is the operation mode of the back-end PC server plus intelligent analysis software, such as Aimetis and iOmniscient. Because this method is used by the back-end PC server for processing, the performance of the processing is better than that of the front-end intelligent analysis camera. Since the algorithm occupies a large amount of hardware resources, when processing multiple analyses at the same time, the system The lack of processing capacity is manifested. Because the back-end PC server has powerful analysis and processing capabilities (compared with the front-end DSP + software approach), the PC server processing method is usually applied to very important intelligent analysis occasions.
From the main application of intelligent analysis, there are two major development directions. One is the intelligent identification technology based on license plate recognition and face recognition. It is mainly used in electronic police, Yang Yang and Customs.
The other is the behavioral analysis technology represented by rules such as perimeter prevention, population statistics, automatic tracking, retrograde, and prohibition, and is mainly applied to perimeter perimeter warning areas, shopping malls, traffic, and scenic spot flow statistics, and roads are forbidden to park, Violation of retrograde, scene tracking and other aspects.
1, dual-track automatic tracking: intelligent analysis camera plus ordinary fast ball. It can be applied to urban police emergency plans. Incident object tracking.
2. Flow statistics: The number of people entering and exiting the statistical box is used to analyze and count customer flow in supermarket shopping malls and help merchants formulate corresponding sales strategies. Applied to attractions, subways, and provide traffic data for personnel control applications.
3. Cross the alert area: Set up a virtual fence to detect the perimeter. When suspicious persons or objects are found crossing the fence, an alarm is triggered and an alarm signal is uploaded to the monitoring and management center. At the same time, the alarm screen can be uploaded to remote monitoring users through the network. It is applied to traffic crossing pedestrian crossings or zebra crossings, plant wall areas, schools, and detention centers.
4. Lost analysis: Draw an area where important items are placed on the monitoring screen as an alert area. As soon as the item leaves the alert area, the alarm rule will be triggered immediately. Applied to key protected areas such as museums, exhibition halls, auctions, gold and silver stores, etc.
5, direction analysis: In the actual monitoring, people may care about the direction of the flow of people and the direction of movement of the traffic, through the identification of the direction can determine whether the target is not legal walking or driving, if there is reverse behavior, the target will be automatically locked, And alarm at the same time. Roads that apply to one-way travel; important entrances and exits.
6. Intelligent tracking: Targeting a suspicious person or object and recording the trajectory of the target, and the camera will follow the target to turn and alarm. Applicable to high-grade residential areas, personnel banned areas, confidential areas, important protection areas, etc. And can be used as the incident after the analysis of the trajectory of the case playback process. To quickly solve the case.
The intelligent video analysis system solves the security personnel's relief from the complex and boring "eye-screen" tasks, and the device completes this part of the work; the other is to achieve rapid search from the massive video data to the desired image. Studies have shown that when operators stare at the video wall for more than 10 minutes, 90% of video information will be missed, making this work meaningless, and often the monitoring system becomes the basis for subsequent investigations. However, the intelligent video analysis system turns the postmortem evidence into an active defense, enabling the project to achieve the most effective security at the lowest cost. Intelligent video analysis system has played a decisive role in successfully applied to all walks of life.
Application of Intelligent Video Analysis Technology
So what are the different characteristics of smart video different industries? What are the differences between HD video surveillance and non-HD intelligent video analysis technologies? What are the requirements for the equipment?
Intelligent video analysis applications can be roughly divided into public security law enforcement and security, literature and art, and tobacco industry. Law enforcement will focus more on pattern recognition, such as license plate recognition and face recognition. Security will focus on retrograde monitoring, illegal intrusion, crowd gathering, slipping, and the detection of relics. Wenbo class focuses on the protection of objects and personnel. Surveillance can prevent objects from being lost, take away, pick up alarms, and carry out retrograde monitoring on special channels. It can also monitor the number of people and personnel density; tobacco industry applications are biased in behavior analysis, such as detection of remnants in prohibited areas. , combined with the special performance of production equipment failure to detect faults. HD smart and non-HD smart use the same principle in the underlying algorithm. HD algorithms need to provide more computing power for analysis. At present, the behavior analysis class adopts CIF resolution. When the input is a high-definition video, the pixels are cropped and then analyzed. For the pattern recognition class, high-definition video is used for analysis to obtain more accurate results.
As far as the intelligent video analysis function can be realized, almost all applications are mainly targeted at three aspects: people, vehicles, and objects. Beijing Wenan divides it into three categories according to the specific applications: 1. Public safety prevention. It includes tracking of target movement trajectory, target movement range, target movement direction, special human behavior, monitoring of special vehicle behavior, and so on. Its prominent feature is that it can provide timely warning for suspicious abnormal events. 2, statistical analysis of data. Typical examples are traffic statistics and traffic statistics. This type of application is relatively independent. It uses data output as the final result, and provides multiple types of data reports to assist management decisions. 3, intelligent traffic monitoring. Typical applications such as license plate recognition, illegal monitoring of red lights, and comprehensive surveillance of traffic violations are mainly applied to the analysis of vehicles. They are relatively mature and application cases are relatively common.
In addition, Beijing Wenan combined with the current status of domestic video surveillance, and specifically developed a class of applications that specifically address the quality of video images in order to monitor the signal quality of each channel of video images. Video loss, snowflake, scrolling, blurring, color cast, picture freeze, gain imbalance and other common camera failures make accurate judgments, help users to find the front-end camera video quality faults in time, effectively control the operation of front-end equipment, and ensure the normal monitoring system. run.
The requirements for video surveillance in different industries generally have very obvious differences, especially for the application requirements of intelligent video analysis technology, which also determines the specificity of the types of detection behavior and abnormal events among different industries. For example, in a safe city, it is possible to develop behavior analysis functions such as fights, robbery, and climb over in response to urban security emergencies. In the bank's ATM self-service area, behavior analysis functions such as illegally pasting small paper strips, installing fake keyboards, masking, and violent robbery can be realized through the analysis of current crimes in ATM self-service areas. In the transportation industry, more functions can be implemented to alert traffic incidents such as retrograde, illegal parking, and traffic jams. Only by combining the practical applications of the industry and in-depth understanding of the specific issues of different industries, can we better grasp the needs of users and put the functions of intelligent video analysis technology into practice. This is also the ultimate reflection of the future industrial value of intelligent video analysis technology. .
For smart video analytics solutions, different industries have different focuses. Taking prisons as an example, in order to prevent the prisoners from escaping from prisons and gang fights, the demand for the perimeter and crowds is relatively prominent, mainly to solve the problems in these two areas, and for some airports and other public places where mobility is relatively large. It said that the demand for the detection and detection of abandoned objects is relatively outstanding, so as to prevent the explosion of dangerous goods and suspicious individuals from committing crimes.
For nuclear power plants, oil fields, power grids and other places, generally in remote areas, the flow of people is not large, but the security needs of its perimeter is relatively high, once it is close to the need to cause warnings, the defense needs of the perimeter is more prominent.
For video surveillance, the clearer the image, the more detailed the details, the better the viewing experience, and the higher the accuracy of application services such as smart, so image clarity is the eternal pursuit of video surveillance. In the past, the low definition of video has made it difficult for surveillance personnel to find valuable clues. The use of high-definition video technology has provided us with high-definition, high-quality video sources that contain rich and complete information, thereby improving the intelligent analysis of video. The accuracy rate avoids the loss of information due to scene problems. From this perspective, the intelligent analysis of video is based on high-definition, so the requirements of intelligent video analysis for front-end camera resolution are relatively high. High-definition means that the storage pressure increases, and accordingly, the back-end storage device The stability and capacity also have certain requirements.
There is not much difference between HD monitoring intelligent video analysis and non-HD intelligent video analysis technology, but the results are completely different. HD monitoring can improve the efficiency of intelligent video analysis, and can obtain more and more effective information from the video. For example, face and license plate recognition require more detail in the image, which can increase the recognition rate while providing more convincing pictures and videos.
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