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 security applications. The nature and the 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. Therefore, the intelligentization of security products must first address the intelligence of video surveillance technology. Through intelligent video analysis technology, it is possible to separate some key information that is worthy of attention from the video. Thus, the video capture device with intelligent video analysis technology becomes an intelligent sensor that collects key information and becomes the front-end core of the Internet of Things. As a result, the applications brought on are no longer just video surveillance applications, but a series of new applications centered around video surveillance applications and around video surveillance applications.
This article will focus on the face capture technology and its application to analyze its Internet of Things security applications.
Face-capture technology Face-capture technology refers to the technology of detecting and locating suitable faces from video sources through intelligent video analysis technology, and then capturing the images of adult faces. The technology does not require the cooperation of the monitoring person to quickly and easily obtain face photographs and can be deployed in a large number of applications.
Needless to say, human information is one of the most critical information that needs attention in the field of security. Face photos have the characteristics of small storage space and large information capacity, and can establish relationships with personal identities, so capturing and storing face photos is of great significance. A large number of photo captures can lead to the retention of traces of human activity, leading to at least four excellent applications: face retrieval, blacklist deployment, VIP identification, and stranger identification.
There are three main ways to achieve face capture in capturing faces:
The front-end face capture device analyzes and captures faces in the video source;
Through the video, the front end accesses the face capture device, and the face capture function is implemented on the front-end embedded device, and the captured face photo is transmitted to the face database through an interface such as a network. This approach is generally used for new projects, small projects, and decentralized projects.
Intelligent video analytics platform to separate and capture faces from the back-end centralized video source;
Through the introduction of video sources at the back end of the centralized video surveillance platform, face capture is implemented on the back-end intelligent video analysis platform. This method is most suitable for the intelligent transformation of large centralized video surveillance platforms such as Ping'an City and Ping'an Campus.
Use the handheld to move and capture human faces.
Using handheld video capture devices with intelligent processing capabilities, live face images are collected and the captured faces are transmitted to the backend face database for relevant real-time applications. This is the simplest and most effective face acquisition method for applications that require mobile acquisition and mobile law enforcement.
After the face capture application front end completes face capture and capture, it generally needs to cooperate with the front end or back end face photo recognition contrast technology to complete the comprehensive application. There are four main types of applications.
Face Retrieval Face Search refers to the retrieval of face features in a large number of face photos and video sources by inputting photos or other face information to search for records that have appeared on the face.
The application is generally applied in conjunction with the intelligent transformation of Safe City. When a large number of face pictures are collected at the front end, the face search can quickly locate the traces of the activity that the picture once retained in the system, and it is very convenient to locate the once-conducted trajectories and the locations of the people concerned. , can be very effective with the application of various technical investigation methods.
Blacklist deployment In some key situations, it is necessary to quickly deploy blacklist personnel to arm and warn, such as various ports, airports, letters and visits offices, etc. When faces in the blacklist appear in the video scene, they can be quickly identified and alarmed, prompting manual Intervention.
Through the face captured by the front end, real-time automatic comparison with the blacklist library is realized. When the similarity reaches a certain threshold, the alarm linkage is automatically performed, and thus the blacklist deployment process is realized. For wanted criminals, smugglers, etc., has a great deterrent and application effect. A similar system was deployed at the Shenzhen Huanggang Port, which is supported by Shenzhen Ferris Technology.
VIP customer identification envisages a scenario: When a VIP customer enters a business premises, the customer can automatically identify his or her identity, provide personal information, consumption history, consumer preferences, and other information to the service personnel without the customer's own initiative. The staff then came forward to provide corresponding personalized services. This is VIP customer identification.
The main applications include luxury goods stores, advanced car service points, senior clubs, bank account management centers, and sales offices.
Stranger recognition Stranger recognition is a method of recognizing and prompting strangers outside a certain range. The main applications are private gardens, private clubs and so on. Through the automatic comparison of the captured face with all the owners/members, the stranger is automatically prompted for manual intervention by the staff.
Application analysis Through the analysis of face capture and its industrial applications, it is not difficult to find that its application is very extensive. It involves large-scale government applications such as safe city, safe campus, and urban management. It also involves business applications such as banking and banking. It can be used in general applications such as property management and has a very clear application perspective.
Summary Through intelligent video analysis technology, ordinary video capture devices will transform into smart Internet of Things sensors that can sense a lot of key information. Through the reuse of key information, many advanced applications that could not be imagined in the field of video surveillance can be completed. In this way, video capture breaks through the framework of common applications such as video surveillance, gaining a larger market space with a breadth and height.
Interpretation: Intelligent Face Capture for Internet of Things Security Applications
Internet of Things security, as the name suggests, Internet of Things security is the combination of the product features of the Internet of Things and security products to achieve the role of security protection. That is, the application of Internet of Things technology to achieve security applications.