IoT security, as the name suggests, IoT security is the combination of the functional characteristics of IoT products and security products to achieve the role of security protection. That is, the application of Internet of Things technology to realize the application of security. On the other hand, based on the needs of the development of the Internet of Things, the application of security products and technologies in the implementation of the Internet of Things is an extension of the field of security applications. The essence and most important thing is the intelligentization of security products. In the security industry, the application of video surveillance occupies the vast majority of the market, so the first thing to be solved by intelligent security products is the intelligence of video surveillance technology. However, after the video technology is intelligent, the application of intelligent video analysis technology to the Internet of Things security is not just a video surveillance application, but a series of new applications centered around the video surveillance application. This topic will focus on the two topics of intelligent video and Internet of Things security, to discuss and introduce a series of mature new application directions in the industry. Passenger flow statistics Passenger flow statistics is a relatively mature and popular smart application recently. Whether it is business, government, school, construction site, or some other special occasions, the number of people is a very important data information that cannot be ignored: 1. Business needs people to consume, researching passenger flow data is a core component of business intelligence analysis; 2. The government needs to investigate and predict the flow of people, and all transportation planning and public services need passenger flow data as support; 3. Schools, construction sites, etc. need to count people automatically for teaching and production process management. From the perspective of the application of the Internet of Things, the core of passenger flow statistics is human sensing technology, and various detection technologies need to be used to sense, detect, and count the number and direction of human flows. Some of the early passenger flow statistics techniques, such as infrared radiography, infrared curtains, gravity sensing, etc., have many defects, resulting in low accuracy. The statistical data has lost the value of application analysis and is now in practical use. China has been, or tends to be eliminated. Thanks to the rapid development of video analysis technology, the passenger flow statistics technology based on video analysis has become increasingly mature. Smart video passenger flow statistics Intelligent video passenger flow statistics technology refers to a type of technology that uses intelligent video analysis technology to realize passenger flow statistics. Common implementation methods are divided into three types: 1. Binocular stereo vision passenger flow statistics technology based on the principle of binocular parallax: it uses the field of view difference of two vertically downward cameras to calculate the height of the target passing below, and matches the height of the target that is close to the human body (such as 1.5 Meters to 1.8 meters) moving target, statistics of its moving direction and number. Typical is the technology used by Experian in the UK. 2. Passenger flow statistics technology based on moving target detection: It uses the video collected by the camera facing the entrance and exit channel to analyze the moving targets, and judges the moving direction and number of people by moving the target across the virtual line. Most domestic manufacturers provide such technology. 3. Based on video recognition pattern matching technology and motion tracking technology to achieve passenger flow statistics technology: it uses a vertically downward camera to match the general characteristics of the human head, shoulders, hair and other human body at this angle, and uses pattern matching technology for video recognition , And then use motion tracking technology to achieve statistics on the direction and number of people moving. Through the understanding of the above three implementation technologies, we can easily find: The first method actually judges whether the target passing underneath is a human body only by the feature of height, which will be missed for people who are too low or too high, and will easily cause errors for other targets that are not very different from the human body. Sentence. The second method requires comprehensive consideration of various factors such as the application environment, the lens used, the installation distance, and the angle. It requires more on-site project configuration to achieve better results, so this type of technology will also cause Staying on project-based technology is difficult to commercialize. The third way, because all human bodies have a small difference in characteristics when viewed from the top down, the vertical and downward angles are used for pattern feature matching, which can accurately match the human target in the field of view, so almost no need for any The setting can be adapted to the passenger flow statistics in most occasions, and a very high degree of productized embedded passenger flow statistics terminal products have appeared on the market. From the perspective of the Internet of Things system, the productized embedded passenger flow statistics terminal is an intelligent perceptron that senses the direction and number of human movements. It has complete sensing, data preprocessing, and network connection functions. It is the security of the Internet of Things. The most important intellisense device for the application. The embedded passenger flow statistics terminal uses the video analysis technology to mine the deeper "people flow" data information in the video scene, which is an excellent sensor for the security of the Internet of Things. Application of Intelligent Video Passenger Flow Statistics According to the three elements of the Internet of Things-perception, connection and application, the application of typical intelligent video passenger flow statistics is mainly divided into three organic components: the front-end embedded passenger flow statistics terminal, the middle network connection and the back-end passenger flow statistics Analysis application platform. The existing embedded passenger flow statistics terminal can be optionally equipped with a built-in 3G module, and most of the functions of sensing and connection can be realized when the power is turned on. You can also access the application system platform through a common wired network. Since all the work of human body recognition and motion trajectory tracking has been completed on the embedded passenger flow statistical terminal, the passenger flow data information output from the embedded passenger flow statistical terminal is also very low in dependence on the network; the system application platform is based on B / S architecture construction, construction, deployment, and maintenance are very convenient and flexible, and the application channels provided to users also support fixed PC and mobile cell phone services. Based on the above passenger flow statistical analysis platform, the applications that have been developed and implemented now include: 1. Commercial passenger flow statistics: Based on time trends and spatial trends, statistics and analysis of the temporal and spatial distribution of passenger flow in commercial occasions are provided to provide a more intuitive and effective decision basis for business operations. 2. Statistics and restrictions on the number of people entering and exiting mines, production workshops, etc .: The number of people entering and exiting mines, production workshops, and other occasions is counted through the embedded passenger flow statistics terminal, and the attendance records are checked to prevent workers from getting lost in complex and dangerous places. 3. Statistics on the number of people on buses, long-distance vehicles, and school buses: Through real-time analysis of the number of people getting on and off the moving vehicles, you can implement dynamic scheduling decisions on bus vehicles, supervise the on-off and off-boarding and charging of long-distance vehicles, and overload school buses Conduct early warning management, etc. 4. Overrun management of the number of people in operating cultural entertainment venues such as KTV, nightclubs, internet cafes, movie theaters, etc .: According to the requirements of the document issued by the Ministry of Culture in 2006, in order to prevent potential safety hazards, the operating area of ​​operating cultural entertainment venues should not be less than 1.5 square meters. The passenger flow statistical analysis system supported by the intelligent video analysis technology has a very broad application space because the objects of analysis are human movement status, information, and data. Under the framework of Internet of Things security, the embedded passenger flow statistics terminal serves as an intelligent sensor of passenger flow information, which can mine effective and accurate passenger flow information for the back-end platform application system, which can bring many specific practical applications and excellent Application potential. 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